mobility enhancements in heterogeneous networks

8/12/2019 Mobility Enhancements in Heterogeneous Networks

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3GPP TR 36.839 V11.1.0 (2012-12)Technical Report

3rd Generation Partnership Project;Technical Specification Group Radio Access Network;Evolved Universal Terrestrial Radio Access E!UTRA";

#o$ilit% enhance&ents in hetero'eneous networksRelease (("

The present document has been developed within the 3rd Generation Partnership Project (3GPP TM) and may be further elaborated for the purposes of 3GPP.The present document has not been subject to any approval process by the 3GPP Or ani!ational Partners and shall not be implemented.This "eport is provided for future development wor# within 3GPP only. The Or ani!ational Partners accept no liability for any use of this $pecification.$pecifications and "eports for implementation of the 3GPP TM system should be obtained via the 3GPP Or ani!ational Partners% Publications Offices.


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/o+ e+ !

7oreword..........................................................................................................................................................

- $cope......................................................................................................................................................+ "eferences..............................................................................................................................................3 8efinitions symbols and abbreviations..................................................................................................3.- 8efinitions...........................................................................................................................................................3.+ $ymbols...............................................................................................................................................................3.3 /bbreviations.......................................................................................................................................................

9 General...................................................................................................................................................: ;et et mobility performance evaluation................................................................................................:.- $imulation study phases......................................................................................................................................:.+ General $imulation assumptions.........................................................................................................................

:.+.- ;andover 7ailure Modellin ..........................................................................................................................:.+.-.- 8efinition of ;andover states..................................................................................................................:.+.-.+ "57 modellin and definition of "57 states...........................................................................................:.+.-.3 ;andover................................................................................................................................:.:.:.- $imulation study for ;andover and "57 performance with 8"> for ;et et relative to macro

only systems...........................................................................................................................................:.:.:.-.- $imulation assumptions and definitions...........................................................................................:.:.:.-.+ $imulation results with 8"> for ;et et relative to macro only systems........................................:.:.:.+ $imulation study for ;andover and "57 performance with 8"> for different ;O types in

;et et....................................................................................................................................................:.:.:.+.- $imulation assumptions and definitions...........................................................................................:.:.:.+.+ $imulation results with 8"> for different ;O types in ;et et............................................................:.:.:.3 Overall observations on ;andover performance in ;et et with 8">.................................................

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:.:.? Performance with e'1'1..............................................................................................................................:.:.?.- $imulation assumptions..........................................................................................................................:.:.?.+ $imulation results...................................................................................................................................:.:.?.3 1onclusions on mobility performance with e'1'1................................................................................

:.? Performance benefits of enhanced 2 mobility state estimation..........................................................:.?.- Mobility speed estimation............................................................................................................................:.?.+ Overall observations on Mobility speed estimation.....................................................................................? $trate ies for improved small cell discovery


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1 o'eThe present document is intended the capture the output of the $tudy 'tem on ;et et mobility improvements for 5T2.

The study aims to loo# at various mobility improvements such as possible improvements to support seamless and robustmobility of users between 5T2 macro to pico cells in ;etero eneous networ#s better strate ies to identify and evaluatesmall cells handover performance with and without e'1'1 features improvements to re=establishment procedures etc. 'tis also e pected to consider these in the conte t of 1arrier a re ation in ;ome e ode0s.

2 Re ere+#e!The followin documents contain provisions which throu h reference in this te t constitute provisions of the presentdocument.

B-C 3GPP T" +-.D,:A I ocabulary for 3GPP $pecificationsI.

B+C 3GPP T$ 3?.-33A I2volved niversal Terrestrial "adio /ccess (2= T"/)H "e@uirements forsupport of radio resource mana ementI.

B3C 3GPP T$ 3?.3,,A I2volved niversal Terrestrial "adio /ccess (2= T"/) and 2volved niversalTerrestrial "adio /ccess etwor# (2= T"/ )H Overall descriptionH $ta e +I.

B9C 3GPP T$ 3?.F-9A I2volved niversal Terrestrial "adio /ccess (2= T"/)H 7urther advancementsfor 2= T"/ physical layer aspectsI

B:C 3GPP T$ 3?.33-A I2volved niversal Terrestrial "adio /ccess (2= T"/)H "adio "esource1ontrol (""1)H Protocol specificationI

B?C "+=--?-++A=/ttachment J2mail discussion BE:K3?CA ;et et Mobility ;otspot 1alibration"esultsL T$G="/ G+ meetin KE?

BEC "+=--?-,3A ay forward with ;et et simulationsH "enesas Mobile 2urope 5td. T$G="/ G+meetin KE?

BFC "+=--:D-EA 1ell detection delay in ;et etH ;uawei ;i$ilicon T$G="/ G+ meetin KE?

BDC "+=-+-E,?A 2mail discussionA BE?K+,C = 5T2A ;et et mobility calibration simulations "/ G+meetin KEEbis

B-,C "+=-+-??,A 'mpact of 8"> to ;et et Mobility Performance "enesas Mobile 2urope 5td. T$G="/ G+ meetin KEEbis

B--C "+=-+,39FA 5ar e /rea $ystem $imulation results for ;et et mobility "enesas Mobile 2urope5td. T$G="/ G+ meetin KEE

B-+C "+=-+--?3A ;et et mobility and 8"> with #eep alive traffic o#ia 1orporation o#ia $iemens etwor#s T$G="/ G+ meetin KEEbis

B-3C "+=-++:++A 'nvesti atin pico deployments under hi h system loadH 2ricsson $T=2ricsson T$G="/ G+ meetin KEF

B-9C "+=-++F,9A ;et et mobility performance with e'1'1 'ntel 1orporation T$G="/ G+ meetinKEF

B-:C "+=-++F-9A 'mpact of random pico cell deployment on the performance 'ntel 1orporation T$G="/ G+ meetin KEF

B-?C "+=-++E+?A ;et et Mobility Performance with 1ell "an e 2 pansion and /0$ "esearch 'nMotion & limited T$G="/ G+ meetin KEF

B-EC "+=-+++?FA Performance evaluation for mobility in ;et et with T8='1'1 ew Postcom

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ftp://ftp.3gpp.org/tsg_ran/WG2_RL2/TSGR2_78/Docs//R2-122522.ziphttp://3gpp.app.alcatel-lucent.com/3GPP/RAN/RAN_Tdocs2012/R2-122804.zipftp://ftp.3gpp.org/tsg_ran/WG2_RL2/TSGR2_78/Docs//R2-122522.ziphttp://3gpp.app.alcatel-lucent.com/3GPP/RAN/RAN_Tdocs2012/R2-122804.zip


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B-FC "+=-++?F:A ;etnet mobility performance with e'1'1 "enesas Mobile 2urope 5td

B-DC "+=--?-:-A $mall cell detection in ;et et environment o#ia $iemens etwor#s o#ia1orporation T$G="/ G+ meetin KE?

B+,C "+=-+3-,+A 0ac# round search for small cell detection o#ia $iemens etwor#s o#ia1orporation TT 8O1OMO ' 1. T$G="/ G+ meetin KEF

B+-C "+=-++3?FA 2nhanced M$2 based small cell detection o#ia $iemens etwor#s o#ia1orporation T$G="/ G+ meetin KEF

B++C "+=-+-?+-A $mall cell si nal based control of inter=fre@uency measurements o#ia $iemens etwor#s o#ia 1orporation T$G="/ G+ meetin KEEbis

B+3C "+=-+,+EEA 2nhanced cell identification and measurements for 1/ TT 8O1OMO ' 1. T$G="/ G+ meetin KEE

B+9C "+=-+,?:9A 'nter=fre@uency $mall 1ell 'dentification Nualcomm 'ncorporated T$G="/ G+meetin KEE

B+:C "+=-+-??:A sin pro imity indication for small=cell discovery "enesas Mobile 2urope 5td.T$G="/ G+ meetin KEEbis

B+?C "+=-+-9-EA $mall 1ell 8etection 2ricsson $T=2ricsson T$G="/ G+ meetin KEEbis

B+EC "+=-+-+9FA $mall 1ell 8iscovery in ;et et ;uawei ;i$ilicon T$G="/ G+ meetin KEEbis

B+FC "+=-+-:3FA Pico cell detection issues $amsun T$G="/ G+ meetin KEEbis

B+DC "P=--,93EA or# 'tem 8escriptionA 1arrier based ;et et '1'1 for 5T2 T$G="/ meetin K:-

B3,C "+=-+,:+3A 2nhancements for $mall 1ell 8etection o#ia $iemens etwor#s o#ia1orporation T$G="/ G+ meetin KEE

B3-C "+=-+9,+EA Mobility $tate 2stimation and ;et et o#ia $iemens etwor#s o#ia 1orporationT$G="/ G+ meetin KEDC

B3+C "+=-+,?:+A On 2=speed=based methods for improvin the mobility performance in ;et ets/lcatel=5ucent T$G="/ G+ meetin KEE

B33C "+=--93?+A On etwor#=/ssisted Pico 1ell 8iscovery in 5T2 ;et ets 2/lcatel=5ucent T$G="/ G+ meetin KE:

3 e $+$ $o+!, !y: o%! +d re;$ $o+!

3.1 e $+$ $o+!7or the purposes of the present document the terms and definitions iven in T" +-.D,: B-C and the followin apply. /term defined in the present document ta#es precedence over the definition of the same term if any in T" +-.D,: B-C.

defined term A definition .

3.2 &y: o%!7or the purposes of the present document the followin symbols applyA

symbol 2 planation

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3.3 * re;$ $o+!7or the purposes of the present document the abbreviations iven in T" +-.D,: B-C and the followin apply. /nabbreviation defined in the present document ta#es precedence over the definition of the same abbreviation if any inT" +-.D,: B-C.

;et et ;etero eneous etwor#s;OQ1M8 ;andover 1ommand;O7 ;andOver 7ailure'$8 'nter $ite 8istanceM$2 Mobility $peed 2stimationMT$ Minimum=time=of=stay"57 "adio 5in# 7ailureTo$ Time of $tay

Ge+er %$eamless and robust mobility of users from 5T2 macro to small 0T$=layer and vice versa should be supported to enableoffload benefits. The objectives of the study as captured in the study item description document B"P=--,93FC areA

= 'dentify and evaluate strate ies for improved small cell discovery


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The followin areas of study have been identified after calibrationA

= The study should consider more pico cell deployments e. . with pico cells placed within the macro cell covera eand with more pico cells per macro cell.

= 'mpact of 8"> settin on ;O performance will also be investi ated.

= 'mpact of 1"2 mode should beA 5- samplerate is once every -,ms (i.e. radio frame) with the 5- samples filtered linearly over a slidin window of +,,ms (i.e. +,samples) for Nout and -,, ms (i.e. -, samples) for Nin respectively.

5.2.1.3 +do;er P // $%ure :ode%%$+7

Definition : / handover failure is counted if a "57 occurs in state + or a P811; failure is detected in state + orstate 3.

7or calculatin the handover failures for the two statesA

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4i'ure 1*/*(*3*(5 A handover failure is declared when the criterion (" is &et in state /*

4i'ure 1*/*(*3*/5 A handover failure is declared when the criterion /" is &et in state /*

hen a 2 trac#s "57s accordin to T$ 3?.3,, B3C Nout is monitored with a +,,ms window and Nin is monitoredwith a -,,ms window (as specified in T$ 3?.-33 B+C). 0oth windows are updated once per frame i.e. once every -, mswith the measured wideband 1N' value.

The "57 and ;O failure modellin related parameters are shown in the table :.+.-.3.- belowA

Ta$le 1*/*(*3*(5 The para&eters for deter&ine the R64s and the P7889 failures*

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:te&s 7escriptionou -8 d?$+ -6 d?T310 1! ( e de u% ; %ue $+ 36.331)310 1

T311 o u!ed or # %$ r $o+ (!$+#e R" re#o;ery $! +o !$:u% ed $+e # %$ r $o+)311 1

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5.2.2 P$+7-'o+7 =ode%%$+7The time that a 2 stays connected with a cell after a handover is used as the metric to evaluate the pin =pon behaviour. The JTime of stayL in a cell / is the duration from when the 2 successfully sends a Jhandover completeL(i.e. RRCConnectionReconfigurationComplete )=messa e to the cell / to when the 2 successfully sends a JhandovercompleteL = messa e to cell B . The minimum time of stay connected with a cell models the time needed to allow a 2

to establish a reliable connection with the cell plus the time re@uired for conductin efficient data transmission. 'f a 2ma#es a handover from cell 0 to cell / and then ma#es a handover bac# from cell / to cell 0 (i.e. the ori inal sourcecell in the first handover) and the time connected to the cell / was less than the minimum=time=of=stay (MT$) it isconsidered as a pin =pon . 'n eneral if the 2Rs time=of=stay in a cell is less than MT$ the handover may beconsidered as an un=necessary handover.

Definition # A / handover from cell 0 to cell / then handover bac# to cell 0 is defined as a pin =pon if the time=of=stay connected in cell / is less than a pre=determined MT$.

The e amples of countin the Pin =pon s are shown in the 7i ure :.+.+.-.

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4i'ure 1*/*/*(5 Pin'!pon' &odellin'*

Definition $ 5 Pin =pon rate is defined as (number of pin =pon s)


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Ta$le 1*/*3*(5 asic radio confi'urations for the 9etNet &o$ilit% si&ulation

5.2. e e :o $%$ y !'e#$ $# ' r :e er!The followin table captures the additional recommended ;et et mobility specific parametersA

Ta$le 1*/*0*(5 9etNet &o$ilit% specific para&eters

OT2 -A The percenta e of cell loadin means the percenta e of the total resource bloc#s bein used in a celldurin a iven period of time. There is no difference between 85 interference enerated by full buffered bac# round users and full power transmission in all the "0s of the system bandwidth.

7ast fadin is included in the simulation since it may have a bi impact to low speed 2Rs handover performance.

't should be noted that T$3?.33- B:C re@uires that the time characteristics of the 53 filter to be preserved by scalin the& value when the sample period is less than +,,ms.

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:te&s #acro cell Pico cell@& 1. 32 k:, 500:$! +#e-de'e+de+ ' %o!! TR 36.81 [ ] = #ro-#e%% :ode% 1 TR 36.81 [ ] P$#o #e%% :ode% 1

u: er o !$ e! !e# or! 19 5 1?& *+ e++ 7 $+ $+#%ud$+7 / %e %o!! 15d? 5d?=& *+ e++ 7 $+ 0 d?$ 0 d?$& dow$+7 ! +d rd de;$ $o+ 8 d? 10 d?/orre% $o+ d$! +#e o & dow$+7AT $! $! e d$! +#e w ere#orre% $o+ $! 0.5 (+o 1 e ! de $+ed$+ TR 36.81 ?.1.2.1.1)

25 : 25 :

& dow #orre% $o+ 0.5 e wee+ #e%%! 1 e wee+!e# or! 0.5 e wee+ #e%%!

*+ e++ ' er+ The same 3D pattern as isspecifed in TR 36.814, TableA.2.1.1-2 [4

A:+$, as is specifed in TR36.814, Table A.2.1.1.2-3 [ ]

/ rr$er reBue+#y ? +dw$d 2.0G C 10= C 2.0G C 10= C?& To % TD 'ower 6 d?: 30d?:Pe+e r $o+ "o!! 20d? 20d?

*+ e++ #o+ $7ur $o+ 142 142=$+$:u: d$! +#e The same re!"irements as specifed in TR 36.814 [4 .

:te&s 7escriptionP$#o #e%% '% #e:e+ * $4ed %o# $o+(!) e.7., 0.5 @& , 0.3 @& o+ e ore!$7

d$re# $o+. Ar r +do:%y '% #ed./e%% %o d$+7 ( AT 1) 100E, 50EF !'eed 3 k: , 120k: , 30k: , 60k:/ ++e% :ode% $ er o+e o e :ode%!, TF or @TF, #ou%d e u!ed. ( ! d$+7

$+#%uded)T$:eToTr$77er [:!] 0, 80, 160, 803-o !e [d?] -1, 0, 1, 2, 3T=e !ure:e+ Per$od, @+ r , "1 $% er$+7 $:e $+T&36.133 [2]

200:! (o er ; %ue! #ou%d e dded % er)

" yer3 $% er P r :e er H , 1, 0:e !ure:e+ error :ode%%$+7 To o $+ e 90E ou+d or - 2 d?, +or: % d$! r$ u $o+ w$

de;$ $o+ I 2 d? (!Br (2)Jer $+;(0.9)) I 1.216 d? # + e u!ed (reT&36.133 [2]). T e R&RP :e !ure:e+ error # + e dded e oreor er "1 $% er ! %o+7 ! e error reBu$re:e+ :e+ $o+ed o;e$! :e e $+'u o "3 $% er.or # %$ r $o+ 'ur'o!e!, ere $! +o :e !ure:e+ error :ode%%$+7w$ w$de +d / @ or r d$o %$+k :o+$ or$+7 +d A de#$!$o+.

+do;er 're' r $o+ (de#$!$o+) de% y 50:!+do;er e4e#u $o+ $:e 0:!

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5.2.5 =ode%%$+7 o dd$ $o+ % e ure!$uitable models for 8"> e'1'1 "57 recovery traffic patterns etc. could be considered by companies in furthersimulations. $olutions that will enable the use of lon 8"> periods for improved 2 power savin s and usere perience while still ensurin controlled mobility in a robust manner is identified as an important topic for study.

The model provided in BFC is considered as one suitable model for analy!in the impact of non 8"> intra=fre@uencycell identification delay.

B2ditors oteA Models for 8"> e'1'1 "57 recovery traffic patterns etc should be contribution driven and not limitallowed simulation models.C

5.3 &'e#$ $# !!u:' $o+! or o !'o !$:u% $o+

5.3.1 F P% #e:e+ +d Tr Ke# or$e! or o !'o !$:u% $o+"e ardin to the 2 placement and trajectories two different approaches are allowed for small area simulation(;otspot model)A

-) 'n a trial a 2 is randomly placed on the ed e of the hotspot around the pico cell. Then the 2 moves strai ht ina randomly pic#ed direction within an an le toward the pico cell. / trial is finished when the 2 hit the circle onthe other side.

+) /lternatively 2s are initially randomly dropped within the hotspot around the pico cell. Then the 2 moves ina random direction in a strai ht line. hen 2s reach the ed e of the hotspot it will bounce bac# in a randomdirection but 2 movement is restricted to be within the hotspot.

/s an e ample of the first approach shown in 7i ure :.3.-.- the pico cell is placed at the ,.3 '$8 from the e 0 on the bore si ht direction. / circle is drawn with pico cell centre location as its centre and +,,m as the diameter. / 2 is placed randomly on the circle and let it move towards the pico cell at random an le with in


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7or simulator calibration purposes the followin sets of the confi uration parameters in Table :.3.+.- are used for thefirst phase of simulation. The simulation results will be captured in this T" document for reference.

Ta$le 1*3*/*(5 8onfi'uration para&eter sets for si&ulation cali$ration

Profile Set ( Set / Set 3 Set 0 Set 1

F !'eed [k: ] L3, 30, 60, 120M L3, 30, 60, 120M L3, 30, 60, 120M L3, 30, 60, 120M L3, 30, 60, 120M/e%% "o d$+7 [E] 100 100 100 100 100TTT [:!] 80 160 160 80 0

*3 o !e [d?] 3 3 2 1 -1"1 o "3 'er$od [:!] 200 200 200 200 200R&RP "3 $% er H 1 1 0

'n the Table :.+.3.=- the number of pico cells in the sector of interest is -. Pico cell placement for simulationcalibrationA ,.: '$8 on the boresi ht direction.

7or calibration purpose althou h the macro=to=macro handovers should be simulated lo in the macro=to=macrohandover related metrics is not re@uired. ;owever it is allowed to lo macro=to=macro handover results separately from

the macro


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"57 will have a reason code of ;O failure. ote that this is in addition to the ;O failure countin as per definition 3 insection :.+.-.3. 'n lar e scale simulation the "57s with the reason code of ;O failure should be lo ed separately fromthe conventional "57s.

"57 recovery should eventually be modelled in lar e area simulation after the calibration. 1ompanies should have thefle ibility to choose a realistic "57 recovery model.

5. .2 +do;er 'er or: +#e :e r$#! or e e % r7e re e; %u $o+'n eneral the performance evaluation metrics adopted for hot spot simulation can be also used for lar e area systemsimulation.

'n the lar e area simulation the impact of the handover failures to the system performance depends on how often thehandover and handover failure occurred. 'f handover rarely occur even if handover failure rate is hi h the impact of thehandover failure to the system is still very limited. On the other hand if the fre@uency of handovers and handoverfailures are hi h the impact to the system performance will be much bi er. Therefore time factor should be introducedas the lar e area simulation performance metric. The eneric metrics are defined as the followsA

Definition ) A The total number of handover failures per 2 per second is defined as the total number of handover

failures avera ed over the total travel time of all the simulated 2s.Definition * A The total number of successful handovers per 2 per second is defined as the total number of

successful handovers avera ed over the total travel time of all the simulated 2s.

OT2A 0ased on definitions E F the relative handover failure rate defined in definition 9 can be derived asA

The handover failure rate S (The total number of handover failures per 2 per second) < (The total number of handoverfailures per 2 per second The total number of successful handovers per 2 per second). 'n order to observe the;et et mobility behaviour thorou hly handover performance results should be lo ed separately for macro to macro(macro=macro) macro to pico (macro=pico) pico to macro (pico=macro) and pico to pico (pico=pico) handovers. Theoverall a re ated results should also be obtained. More specifically the followin additional metrics for lar e area;et et mobility simulation should be usedA

-. The number of macro=pico handover failures per 2 per second.+. The number of pico=macro handover failures per 2 per second.

3. The number of macro=macro handover failures per 2 per second.

9. The number of pico=pico handover failures per 2 per second.

:. The total number of handover failures per 2 per second.

?. The number of successful macro=pico handovers per 2 per second.

E. The number of successful pico=macro handovers per 2 per second.

F. The number of successful macro=macro handovers per 2 per second.

D. The number successful of pico=pico handovers per 2 per second.

-,. The total number of successful handovers per 2 per second.

--. The macro=pico handover failure rate S (The number of macro=pico handover failures per 2 per second) < (Thenumber of macro=pico handover failures per 2 per second The number of successful macro=pico handovers per 2 per second).

-+. The pico=macro handover failure rate S (The number of pico=macro handover failures per 2 per second) < (Thenumber of pico=macro handover failures per 2 per second The number of successful pico=macro handovers per 2 per second).

-3. The macro=macro handover failure rate S (The number of macro=macro handover failures per 2 per second) 4 >verall

*;er 7e ore e 0.000018 0.000001 0.003 60 0.003

*;er 7e or: #ro : #roo+%y

0.000013 0.000000 0.001223 0.001236

4i'ure 1*1*/*(*(5 R64 perfor&ance for 9etNet and le'ac% s%ste&s fro& cali$ration

5.5.2.2 +do;er $%ure 'er or: +#e or e e +d %e7 #y !y! e:!

Ta$le 1*1*/*/*(5 Avera'e 9andover perfor&ance for 9etNet and le'ac% s%ste&s fro& cali$ration

9andover perfor&ance in 9etNets le'ac% &acroonl% s%ste&

9andover state

9andover &etrics

&acro!pico

pico!&acro

&acro!&acro

pico!pico >verall &acro!&acro

2 A ! F ! 0.000 3 0.0015 0.001 9 0.000009 0.003823 0.001 2A $%urer e [E]

3. 1858 8.08 919 2.68181 2. 8988 3. 91 2.0 8109

3 A ! F ! 0.000298 0.000110 0.000 69 0.000012 0.00098 0.000539A $%urer e [E]

0.9 18 1.205913 0. 80 86 1. 06523 0.808520 0.50 133

To % &u##e!! u%A! F !

0.013 5 0.012 36 0.0 215 0.00023 0.098603 0.08 906

A ! F ! 0.000 35 0.001622 0.002 13 0.000021 0.00 61 0.00223A $%urer e [E]

.6 5501 10. 53351 3. 61802 .0 6629 .629233 2. 6505

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4i'ure 1*1*/*/*(5 9andover failure ?" perfor&ance for 9etNet and le'ac% s%ste&s fro& cali$ration

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4i'ure 1*1*/*/*/5 9andover failure 9>4


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4i'ure 1*1*/*3*(5 Short Ti&e of Sta% rate" perfor&ance for 9etNet and le'ac% s%ste&s fro&cali$ration

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4i'ure 1*1*/*3*/5 Short Ti&e of Sta% ToS


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4i'ure 1*1*0*(*(5 9>4 and Short ToS for UE speed 3k&


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4i'ure 1*1*0*(*05 9>4 and Short ToS for UE speed (/.k&


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B--C. 3,, 2s were distributed in the simulation area at the be innin of the simulation. 2 velocities 3, #m parameters are listed in Table :.:.:.-.-.-. The 2 traffic profile was a bac# round traffic profile consistin of sin le pac#et data bursts with mean inter=arrival rate of 3.9 seconds and mean pac#et si!e of -E, bytes. $ince the traffic profile results in rather infre@uent pac#et transmissions the calls were confi ured to be very lon

to accommodate the Jalways=onL type of application paradi m. The traffic would not cause much load to the networ#and therefore all sites were confi ured with enou h bac# round traffic so that each site was fully loaded to produce aninterference=limited simulation scenario.

The lon 8"> cycle len th parameter varied from F, to ?9, TT'. The short 8"> cycle len th was confi ured to 9,TT' cycle and the time duration to follow the short 8"> pattern was X of the lon 8"> cycle len th after the lastreceived data pac#et. The on duration timer in all 8"> cases was set to : TT's and the inactivity timer was set to -,TT's. "57 Nin and Nout windows were scaled accordin to the 8"> cycle len th as described in T$ 3?.-33 B+C. 1elldetection and intra=fre@uency nei hbour cell measurements were done once per 8"> cycle durin the On duration. ote that durin the lon 8"> e. . cycle len th 9,ms the periodicity of the intra=fre@uency measurements dependsupon the 8"> cycle in use as specified in T$ 3?.-33 B+C.

'n this simulation the handover success rate is defined by dividin the total number of successful handovers with thetotal number of handover attempts. $ince "57s were observed to occur only in the handover situations the total numberof handover attempts consists of successful handovers and "57s.

Ta$le 1*1*1*(*(*(5 Traffic &odel

4eature


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4i'ure 1*1*1*(*/*(5 9andover and R64 events in #acro scenario

30 kmph 60 kmph 120 kmph0

0.005

0.01

0.015

0.02

0.025

0.03

0.035

0.04

R L F s / U E / s e c .

UE Velocity

No DRXLong Cycle: 40msLong Cycle: 80msLong Cycle: 160msLong Cycle: 320msLong Cycle: 640ms


0.05

0.1

0.15

0.2

0.25

0.3

0.35

H

O s / U E / s e c .

UE Velocity

4i'ure 1*1*1*(*/*/5 9andover and R64 events in 9etNet scenario

;andover success rate results in Macro and ;et et scenario are shown in 7i ures :.:.:.-.+.3 and 7i ure :.:.:.-.+.9respectively.

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75

80

85

90

95

98100

H O S u c c e s s [ % ]

UE Velocity


4i'ure 1*1*1*(*/*35 9andover success rate in #acro scenario


75

88

85

90

95

98100

H O S u c c e s s [ % ]

UE Velocity


4i'ure 1*1*1*(*/*05 9andover success rate in 9etNet scenario

5.5.5.2 &$:u% $o+ ! udy or +do;er +d R" 'er or: +#e w$ RD or d$ ere+ Ay'e! $+ e e

This section includes the results from one of the Tdoc "+=-+--?3 B-+C on ;andover and "57 performance in ;et etwith 8"> for the different ;O types. The simulation assumptions for these results is iven below and they differ fromthe ones used in the previous section :.:.:.-.

5.5.5.2.1 &$:u% $o+ !!u:' $o+! +d de $+$ $o+!

1onfi uration set 3 iven in Table :.3.+.- for simulation calibration is used.

The used simulation scenario has been similar to the lar e area scenario with wrap=around specified in confi uration set3 iven in Table :.3.+.-A 1onfi uration parameter sets for simulation calibration is used. /lso basic radio confi uration parameters have been adapted. The detailed simulation assumptions and settin s are listed in table :.:.:.+.-.-. Thesimulation shown in this paper includes the simulation case where there is no data transmission e cept what is neededfor control si nallin for mobility Y i.e. loo#in only at mobility. The networ# is fully loaded re ardless of the minimaltransmission for the 8"> users to investi ate worst case scenario interference wise./lthou h the scenario and parameters have been adapted from BDC the modellin of ""1 messa es re=establishmentand handover failure has been enhanced with details provided in Table :.:.:.+.-.+.

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'n the simulations three different measurement reportin parameters were usedA

-) 0aseline scenario uses the same handover parameters in all cells (Macro and Pico cells) used in the deployment(0aseline)

+) Two cell specific scenarios usin different handover parameters dependin on whether the servin cell is aMacro cell or whether the servin cell is a Pico cell (1ell type specific - and +).

Table :.:.:.+.-.3 illustrates the different parameters settin s used.

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Ta$le 1*1*1*/*(*(5 Traffic &odel

4eature


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Ta$le 1*1*1*/*(*/5 >ther para&eters differin' fro& the assu&ptions provided in section 1*/

4eature co&&and5Re r +!:$!!$o+!

$%ure

?o *R +d R"/ re r +!:$!!$o+!:ode%%ed w$ : 4$:u: o *R+d 3 R"/ re r +!:$!!$o+!

= 4$:u: +u: er o R"/re r +!:$!!$o+! re # ed

#easure&ent report5Re r +!:$!!$o+!

$%ure

?o *R +d R"/ re r +!:$!!$o+!:ode%%ed w$ : 4$:u: o *R+d 3 R"/ re r +!:$!!$o+!

= 4$:u: +u: er o R"/re r +!:$!!$o+! re # ed

P78895$%ure "$+k %e;e% %e! u!ed $+ RR/

:e!! 7e r +!:$!!$o+ 'ro#e!! orP // de e# $o+ $%ure

Ta$le 1*1*1*/*(*35 7ifferent #easure&ent Reportin' para&eters used

Para&eter sets Para&eters when servin' cell is #acrocellPara&eters when servin' cell is Pico

cell? !e%$+e

(TTT 160 A !e 2)T$:e- o- r$77er 160 :!

*3 o !e 2d?T$:e- o- r$77er 160 :!

*3 o !e 2d?/e%% y'e !'e#$ $# 1

(/T&TTT 0 /T&A !e 0)T$:e- o- r$77er 160 :!

*3 o !e 2d?T$:e- o- r$77er 0 :!

*3 o !e 2d? 0d? I 2d?/e%% y'e !'e#$ $# 2

(/T&TTT 0 /T&A !e - )T$:e- o- r$77er 160 :!

*3 o !e 2d?T$:e- o- r$77er 0 :!

*3 o !e 2d?- d? I -2d?

5.5.5.2.2 &$:u% $o+ re!u% ! w$ RD or d$ ere+ A y'e! $+ e e

;andover failure rate is for pico to macro handovers is shown in 7i ure :.:.:.+.+.-.

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4i'ure 1*1*1*/*/*(5 9andover failure rate in pico to &acro &o$ilit%

'n 7i ure :.:.:.+.+.+ a comparison of handover failure rates is shown for different cell types. The parameters here are

the same e cept for the short cycle duration which is here ?9, ms re ardless of the lon cycle len th. ;andover settinin these cases is baseline with TTT -?, ms and /3 offset of + d0 for all cells.

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4i'ure 1*1*1*/*/*/5 9andover failure rate $etween different cell t%pes

5.5.5.3 A;er %% o !er; $o+! o+ +do;er 'er or: +#e $+ e e w$ RD

7or this $tudy item sli htly hi her ;O7 rates in ;et et relative to macro=only scenarios at least for bac# roundtraffic are considered acceptable. The followin observations were reached with respect to ;O performance for;et ets with 8">A

-) The simulations indicate that for low speed 2s (3 #m combined with hi her 2 velocity provides challen es to mobility robustnessaddin small cells in combination with lon er 8"> even medium velocity provides challen es to mobilityrobustness especially for pico outbound mobility.

$imulations showin 2 power consumption were also discussed in many Tdocs in "/ +KEEbis. They showed thatA

-) 8"> is essential for battery savin and doublin the 8"> cycle almost halves the power consumption for #eep=alive traffic with +,s inter=arrival time. ;owever no si nificant differences between battery savin in 8"> in;et et and macro=only scenarios was observed for the same 8"> parameters (e. . in Tdoc "+=-+-??, B-,C).

+) $imulation results also show that Pin =pon rates are lower with 8"> and that there is a trade off betweenamount of Pin =pon s and a ressive handover parameter use.

5.5.6 Per or: +#e w$ e@/@/'mpact of e'1'1


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5.5.6.1 &$:u% $o+ !!u:' $o+!

The basic simulation assumption used is as captured in Table :.+.3.- with '$8 of :,,m and Table :.:.?.-.- which isalmost in line with the basic confi uration described in Table :.+.9.- but some specific confi uration set (e. . channelmodel Pico cell placement) was selected.

Ta$le 1*1*)*(*(5 RR#


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4i'ure 1*1*)*/*(5 R64 events

4i'ure 1*1*)*/*/5 9>4 events

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4i'ure 1*1*)*/*35 9>4 rate

4i'ure 1*1*)*/*05 Short ToS events

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4i'ure 1*1*)*/*15 Short ToS rate

5.5.6.3 /o+#%u!$o+! o+ :o $%$ y 'er or: +#e w$ e@/@/

0ased on the study the followin conclusions were reached on ;et et mobility performance with e'1'1.

-) e'1'1 (Time domain resource partitionin based on /0$) with ,d0 1"2 bias does not cause a ne ative effect onmobility performance in ;et et

+) e'1'1 can improve mobility performance in ;et et when ideal /0$ pattern coordination amon macro cells isused even with a lar e 1"2 bias (e. . ?d0)

3) se of a lar e 1"2 bias (e. . ?d0) with non=ideal /0$ pattern coordination amon macro cells can lead to

mobility performance de radation9) 2ven with ideal e'1'1 the mobility performance in ;et et is not as ood as macro only networ#.

OT2 -A The non=ideal /0$ coordination assumption used in the current simulation is just a special case. Otherdifferent cases of non=ideal /0$ coordination and 1"$ collision modellin are not represented by theresults.

OT2 +A The simulation has been focused on mobility performance with simplification on the modellin of loadand P811; transmission was not used in these simulations.

5.6 Per or: +#e e+e $ ! o e+ +#ed F :o $%$ y ! ee! $: $o+

5.6.1 =o $%$ y !'eed e! $: $o+

This section considers the distribution of Mobility $peed 2stimation (M$2) counter values in a re ular macro=only and;et et networ#. /n M$2 observation window T1" ma of -+, s is used in the simulations (Tdoc "+=-+9,+E B3-C). Thesimulation parameters when different from those in tables :.+.3.- and :.+.9.- are also iven in Table :.?.-.-.

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Ta$le 1*)*(*(5 Su&&ar% of #o$ilit% related si&ulation para&eters for the #SE

9> Para&eter -alueT$:e To Tr$77er (TTT) y+ :$#, 80 :! $+ +or: % =o $%$ yTTT %$+7 # or! & :ed$u: I 0.5, ! $7 I 0.25

N_CRMedium , %$:$ o e+ er medium ! e or : #ro o+%y!#e+ r$oN_CRHigh , %$:$ o e+ er high ! e or : #ro o+%y!#e+ r$o

13

N_CRMedium , %$:$ o e+ er medium ! e or e e!#e+ r$o

10

N_CRHigh , %$:$ o e+ er high ! e or e e !#e+ r$o 16T_CRmaxHyst , y! ere!$! #k o normal ! e 0! (de:o+! r e e $::ed$ e $:' # o e+ +#ed

=& ) *3 A !e 3 d? = #ro +d P$#oP$+7-Po+7-T$:e 1 !=e !ure:e+ ! R e 0.2 !A 4e#u $o+ T$:e ($+#%ud$+7 Pre' r $o+) 0.15 !R&RP error Cero :e + G u!!$ + 1 d? ! d$% er$+7 # or H

R" ou T re! o%d - 8 d?R" $+ T re! o%d - 6 d?

The 7i ure :.?.-.- and 7i ure :.?.-.+ (Tdoc "+=-+9,+E B3-C) show the distribution of M$2 counter in macro=only and;et et networ# respectively for M$2 window (T1"Qma ) of -+,s.

4i'ure 1*)*(*(5 7istri$ution of #SE counter in &acro!onl% network for #SE o$servation windowT8R &a@ of (/.s* The dotted lines illustrate e@a&ple &o$ilit% state thresholds*

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4i'ure 1*)*(*/5 7istri$ution of #SE counter in 9etNet network with different nu&$er of picos for #SEo$servation window T8R &a@ of (/.s*

/s can be seen in 7i ure :.?.-.- in the macro only networ# the M$2 performs well and there is ood correlation between M$2 count and speed of movement. ;ere it is easy to choose appropriate M$2 thresholds Q1"Medium and Q1";i h for M$2 function to distin uish the 2 mobility states. 0ut in a hetero eneous networ# (7i ure :.?.-.+)usin the current M$2 al orithm produces an M$2 event count that is positively biased by the density of pico cells.That is M$2 count for a iven 2 speed increases with increase in number of pico cells. 'n ;et et with cells ofdifferent cell si!es and varyin pico cell densities it is challen in to find one set of appropriate M$2 thresholds thatwould accurately wor# for different ;et et deployments.

5.6.2 A;er %% o !er; $o+! o+ =o $%$ y !'eed e! $: $o+On mobility state estimation (M$2) and its impact on mobility performance it was observed that the M$2 is not asaccurate in ;et et environments as in macro only deployments since it does not ta#e into account cell si!es.

't was however a reed that possible enhancements to the 2=based M$2 should serve the purpose of enhanced mobility performance (not only for the sa#e of enhancin the M$2 estimate). There is consensus that enhancements should beconsidered to improve the mobility performance of ;et et. This includes 2 and networ# based mechanisms.

6 & r e7$e! or $:'ro;ed !: %% #e%%

d$!#o;ery $de+ $ $# $o+6.1 e'%oy:e+ !#e+ r$o!$mall cells can be deployed for various reasons resultin in a hetero eneous networ# comprisin small cells ofdifferent si!es


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6.2 A Ke# $;e! or $+ er- reBue+#y !: %% #e%% :e !ure:e+ !The objective is to optimi!e the data offloadin potential (e. . ma imi!e the amount of data that is transmitted in picocells rather than in macro cellsH ma imi!e the time a 2 stays out of the macro cell) with the followin criteriaA

1riteria -) 2 power consumption for inter=fre@uency small cell measurements in ;et et deployments should be

minimised.1riteria +) /ny interruptions on the servin cell(s) due to inter=fre@uency small cell measurements should be

minimised.

1riteria 3) 'nter=fre@uency mobility performance should not be de raded by measurin inter=fre@uency small cells.

1riteria 9)Mobility performance of le acy 2s should not be de raded to improve inter=fre@uency small celldetection by "el=-- 2s.

The impact to 2 power consumption depends on how often and for how lon a 2 performs inter=fre@uencymeasurements. The study evaluates in particular 2 power consumption relative to how much offloadin opportunityand No$ benefit is lost e. . due to delayed detection of the small cell.

The study also investi ates whether the same findin s apply also to detection of candidate $1ells on the secondfre@uency layer.

2nhancements were evaluated a ainst mechanisms that can be reali!ed with available functionality.

6.3 *+ %y!$! o e4$! $+7 $+ er- reBue+#y :e !ure:e+ !'n the tar et use case described in $ection ?.- small cells provide hot spot covera e overlappin with macro cells providin continuous covera e. $ince the 2 would not #now when the small cell covera e is available the 2 mayalways have to do inter=fre@uency measurements for identifyin small cells. 'f the 2 is always re@uired to performmeasurements si nificant 2 power consumption is e pected. 7i ure ?.3.- shows simulation results on D:th percentileener y used for inter=fre@uency small cell measurements B-DC. 'f the e istin ap pattern (e. . ?ms measurement ap

every F,ms period) is applied appro imately -,,,[ ener y consumption is observed when the number of measuredcells is less than +,.

4i'ure )*3*(5 Ener'% used on s&all cell scan as a function of a&ount of s&all cells in (0 hours B(,C*

The followin conclusion was drawn from the study on inter=fre@uency small cell discoveryA

-) 't was concluded that continuously performin measurements accordin to e istin performance re@uirementsresults in very hi h battery consumption without showin si nificant impact on offloadin potential.

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6. Po e+ $ % e+ +#e:e+ ! or $:'ro;ed !: %% #e%%d$!#o;ery $de+ $ $# $o+

6. .1 &o%u $o+ 1 "o+7er :e !ure:e+ 'er$od [20]5on er measurement period is applied for inter=fre@uency small cell measurements.

6. .2 &o%u $o+ 3 Re% 4ed !$de #o+d$ $o+ [23]$ide conditions for measurements such as $1;Q"P $1; \s


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*u o: $# Re-e! %$! :e+ 'ro#edure! or :o $%$ yro u! +e!!

1ontributions on enhancements to "e=establishment were provided in "/ +KEE throu h "/ +KED. 8etails of thesolutions were not treated as part of the study item and deferred to or# 'tem phase.

8 =o $%$ y e+ +#e:e+ ! or =u% $-/ rr$er ($+#%ud$+7/*) $+ e ?! w$ 'o e+ $ %%y d$ ere+ /&G!

There were no input documents on this topic.

9 A;er %% o !er; $o+! ro: e ! udy o+ e e:o $%$ y

The sections above provide the overall observation on each of the different topics studied as part of this $' and aresummaried a ain hereA

7rom the small area calibration simulation results the followin observations were madeA

= Majority of the companies observed the same trend of the simulation results. The variance of some calibrationresults from different companies is still bi .

= The 2 speed has a si nificant impact on the ;O performance. The trend of simulation results indicated thathi h speed 2s suffer much hi her ;O failure rate than low speed 2s.

The followin observations are made from the overall calibration simulationsA= "esults indicate that handover performance in ;et et deployments is not as ood as in pure macro deployments.

Of the different ;O types Pico to Macro handover performance showed the worst performance.

= 7or low mobility 2s (i.e. speed 3,#m even medium velocity provides challen es to mobilityrobustness especially for pico outbound mobility

= $imulations showin 2 power consumption showed that 8"> is essential for battery savin and doublin the8"> cycle almost halves the power consumption for #eep=alive traffic with +,s inter=arrival time. ;owever no

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si nificant differences between battery savin in 8"> in ;et et and macro=only scenarios was observed for thesame 8"> parameters.

= $imulation results also show that Pin =pon rates are lower with 8"> and that there is a trade off betweenamount of Pin =pon s and a ressive handover parameter use.

The followin 1onclusions were made on mobility performance on ;et et mobility performance with e'1'1.

= e'1'1 (Time domain resource partitionin based on /0$) with ,d0 1"2 bias does not cause a ne ative effect onmobility performance in ;et et

= e'1'1 can improve mobility performance in ;et et when ideal /0$ pattern coordination amon macro cells isused even with a lar e 1"2 bias (e. . ?d0)

= se of a lar e 1"2 bias (e. . ?d0) with non=ideal /0$ pattern coordination amon macro cells can lead tomobility performance de radation

= 2ven with ideal e'1'1 the mobility performance in ;et et is not as ood as macro only networ# with the pico=macro handover failures continuin to dominate the ;O7 results

= ;owever non ideal /0$ coordination amon macro cells and lar er 1"2 bias were proven to lead to increasedinterference from macro cells which in turn can result in mobility performance de radation.

Overall observations on Mobility speed estimation

= The M$2 is not as accurate in ;et et environments as in macro only deployments since it does not ta#e intoaccount cell si!es.

= 't was however a reed that possible enhancements to the 2=based M$2 should serve the purpose of enhancedmobility performance (not only for the sa#e of enhancin the M$2 estimate). 2nhancements should beconsidered to improve the mobility performance of ;et et. This includes 2 and networ# based mechanisms.

The followin conclusion was drawn from the study on inter=fre@uency small cell discoveryA

= 't was concluded that continuously performin measurements accordin to e istin performance re@uirementsresults in very hi h battery consumption without showin si nificant impact on offloadin potential.

'n addition the followin eneral observations were madeA

= There is consensus that enhancements should be considered to improve the mobility performance of ;et et.This includes 2 and networ# based mechanisms

The study has not compared individual enhancement proposals and therefore do not e clude any of those at this point intime (selection of enhancements to be done in the or# 'tem phase)

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*++e4 *e $%ed e; %u $o+ re!u% ! o+ 'o e+ $ % e+ +#e:e+ ! or

$+ er- reBue+#y !: %% #e%% :e !ure:e+ !

Ta$le A!( Evaluation results on rela@ed &easure&ent confi'uration

Rela@ed &easure&ent confi'uration lon'er &easure&ent period and rela@ed side conditionSolution ( D 3"

/r$ er$o+ 1 F 'ower #o+!u:' $o+ # + e redu#ed y 'er or:$+7 $+ er- reBue+#y :e !ure:e+ ! %e!! reBue+ %y.=ore + 90E 'ower ! ;$+7 # + e # $e;ed y ''%y$+7 1! :e !ure:e+ 'er$od +d :ore, #o:' redw$ 80:! 'er$od [30]. @+ dd$ $o+, F 'ower #o+!u:' $o+ # + e redu#ed y re% 4ed !$de #o+d$ $o+!,!$+#e F $! +o reBu$red o e %e o :e !ure #e%%! e %ower &@R. T e 7 $+ +d o w e4 e+ e!$de #o+d$ $o+ # + e re% 4ed +eed! o e #o+!u% ed y R* .

/r$ er$o+ 2 &$+#e e :e !ure:e+ (w$ 7 ' !!$! +#e) $! 'er or:ed %e!! reBue+ %y, $+ erru' $o+! o+ e !er;$+7#e%%(!) # + %!o e redu#ed.

/r$ er$o+ 3 +do;er $+$ $ $o+ w$%% e de% yed due o e %o+7er :e !ure:e+ 'er$od. owe;er, $! wou%d +o re!u%$+ A $%ure $+ e r7e u!e # !e. T $! $! e# u!e e !our#e #e%% r d$o Bu %$ y wou%d e ! $%% 7ood, e;e+$ e +do;er $+$ $ $o+ $! de% yed. o e $ we u!e e %o+7er :e !ure:e+ 'er$od +d e re% 4ed!$de #o+d$ $o+ o+%y or !: %% #e%% d$!#o;ery 'ur'o!e! u : ke # u % +do;er de#$!$o+! !ed o+:e !ure:e+ do+e u!$+7 e4$! $+7 7 ' ' er+! +d !$de #o+d$ $o+! ere $! +o $:' # o $+ er- reBue+#y:o $%$ y 'er or: +#e.

/r$ er$o+ =o $%$ y 'er or: +#e o %e7 #y F $! +o %% de7r ded y $! &o%u $o+ !$+#e o+%y R "-11 F +d: $+%y or e 'ur'o!e o !: %% #e%% d$!#o;ery w$%% e #o+ $7ured w$ $! %o+7er :e !ure:e+ 7 ' +dre% 4ed !$de #o+d$ $o+. "e7 #y F ! w$%% $7+ore e +ew R "-11 :e !ure:e+ #o+ $7ur $o+.

Ta$le A!/ Evaluation results on UE #SE $ased &easure&ents

UE #SE $ased inter!freFuenc% s&all cell &easure&ents Solution ,"/r$ er$o+ 1 T $! $! #o:'%e:e+ ry !o%u $o+ #ou%d e u!ed %o+7 w$ &o%u $o+ 1. *! $! 'ro;$de! + dd$ $o+ %#r$ er$o+ o u!$+7 e :o $%$ y ! e o e F $ $% er! ur er ! o w $# R "-11 F ! 'er or: !: %% #e%%d$!#o;ery :e !ure:e+ !. &$+#e ! -:o;$+7 F !u!'e+d! $+ er- reBue+#y :e !ure:e+ ! $ e%'! o!eF ! $+ redu#$+7 e 'ower #o+!u:' $o+.

/r$ er$o+ 2 &$+#e $! !o%u $o+ $+;o%;e! !u!'e+d$+7 !: %% #e%% d$!#o;ery :e !ure:e+ ! de'e+d$+7 o+ F =& , oro!e F ! or w $# :e !ure:e+ ! re !u!'e+ded ere $! +o +eed o u!e :e !ure:e+ 7 '! o

'er or: :e !ure:e+ !. e+#e e $+ erru' $o+ o+ e !er;$+7 #e%%(!) $! +o $+#re !ed #o:' red o +oe:'%oy$+7 $! e+ +#e:e+ . @+ #o+ r ! , e $+ erru' $o+ o+ e !er;$+7 #e%% or !o:e 'o'u% $o+ o eR "-11 F $! # u %%y redu#ed.

/r$ er$o+ 3 ! -:o;$+7 F ! ou%d $+ 7e+er % +o #o++e# o !: %% #e%%!. T $! $! e# u!e e F r ;e%! rou7 e#e%% #o;er 7e !o Bu$#k%y !u $#$e+ %y %o+7 #o++e# $o+! # ++o e e! %$! ed [13,1 ]. &$+#e $!!o%u $o+ $! # u %%y ;o$d$+7 $+ er- reBue+#y :o $%$ y or !o:e 'o'u% $o+ o e R "-11 F ! ere $! +o$:' # o $+ er- reBue+#y :o $%$ y 'er or: +#e or o!e F ! ! we%% ! o o er F ! $+ e ! :e #e%%.

/r$ er$o+ *! $! !o%u $o+ $! +o ''%$# %e or %e7 #y F ! ere $! +o $:' # o %e7 #y F %%. A+%y R "-11 F !!ed o+ =& w$%% k+ow w e+ o !u!'e+d !: %% #e%% d$!#o;ery :e !ure:e+ !. *+y !$7+ %%$+7 de $+ed or$! :e od w$%% e $7+ored y %e7 #y F !

3GPP

3GPP TR 3)*+3, -((*(*. /.(/!(/"1.Release ((


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Ta$le A!3 Evaluation results on s&all cell si'nal $ased control of inter!freFuenc% &easure&ents

S&all cell si'nal $ased control of inter!freFuenc% &easure&ents Solution (."/r$ er$o+ 1 T $! $! #o:'%e:e+ ry !o%u $o+ #ou%d e u!ed %o+7 w$ &o%u $o+ 1. U e+ !: %% #e%%! re de'%oyed

$+ :ore + o+e # rr$er reBue+#$e! $! !o%u $o+ %%ow! F o !u!'e+d $+ er- reBue+#y :e !ure:e+ ! or!: %% #e%%! o+ o er # rr$er reBue+#$e! $ e F d %re dy ou+d !: %% #e%% w$ !$7+ % #o+d$ $o+! oue #o+ $7ured re! o%d $+ o+e # rr$er reBue+#y. F re!u:e! $+ er- reBue+#y :e !ure:e+ ! or !: %%

#e%%! o+ o er # rr$er reBue+#$e! o+%y $ e F # ++o $+d +y !: %% #e%%! w$ !$7+ % #o+d$ $o+! ou e#o+ $7ured re! o%d $+ e e r%$er de e# ed # rr$er reBue+#y. &$+#e $! %%ow! F o 'er or: $+ er-reBue+#y :e !ure:e+ ! $+ !'e#$ $# reBue+#y +d !$+#e $ # + u!e e #k7rou+d :e !ure:e+ ! ! $+&o%u $o+ 1, $ e%'! redu#e e F 'ower #o+!u:' $o+.

/r$ er$o+ 2 &$:$% r o &o%u $o+ 1, !$+#e e :e !ure:e+ (w$ 7 ' !!$! +#e) $! 'er or:ed %e!! reBue+ %y,$+ erru' $o+! o+ e !er;$+7 #e%%(!) # + %!o e redu#ed.

/r$ er$o+ 3 &$:$% r o &o%u $o+ 1, +do;er $+$ $ $o+ w$%% e de% yed due o e %o+7er :e !ure:e+ 'er$od. owe;er,$! wou%d +o re!u% $+ A $%ure $+ e r7e u!e # !e. T $! $! e# u!e e !our#e #e%% r d$o Bu %$ y wou%de ! $%% 7ood, e;e+ $ e +do;er $+$ $ $o+ $! de% yed.

/r$ er$o+ *! $! !o%u $o+ $! +o ''%$# %e or %e7 #y F ! ere $! +o $:' # o %e7 #y F %%. *+y !$7+ %%$+7de $+ed or $! :e od w$%% e $7+ored y %e7 #y F !.

Ta$le A!0 Evaluation results on &easure&ents without 'ap assistance

#easure&ents without 'ap assistance Solution 0"/r$ er$o+ 1 T e !o%u $o+ doe! +o e%' o :$+$:$!e F 'ower #o+!u:' $o+./r$ er$o+ 2 @+ erru' $o+ o+ e !er;$+7 #e%%! # + e ;o$ded./r$ er$o+ 3 T e !o%u $o+ w$%% +o de7r de e :o $%$ y 'er or: +#e, ! :e !ure:e+ re'or $! +o de% yed y e

dd$ $o+ % :e !ure:e+ ./r$ er$o+ @ e +u: er o !$:u% +eou! :e !ured # rr$er! ( ree # rr$er!) re ke' ! $ $! ere #ou%d e + $:' #

o e4$! $+7 :e !ure:e+ reBu$re:e+ !.

Ta$le A!1 Evaluation results on S&all cell discover% si'nal in &acro la%er

S&all cell discover% si'nal in &acro la%er Solution /"/r$ er$o+ 1 @+ er- reBue+#y :e !ure:e+ $! 'er or:ed o+%y w e+ e F $! +e r e ;$#$+$ y o e !: %% #e%%

#o;er 7e re . T u! e +u: er o :e !ure:e+ ! $! redu#ed./r$ er$o+ 2 ?e# u!e $+ er- reBue+#y :e !ure:e+ ! re o+%y 'er or:ed $+ e ;$#$+$ y o e !: %% #e%% #o;er 7e re

+d we do +o r7ue or +y %o+7er :e !ure:e+ 7 '!, e +u: er o $+ erru' $o+! o e !er;$+7 #e%% $!:$+$:$!ed.

/r$ er$o+ 3 *! $ $! 'o!!$ %e o 'er or: o+%y e r7e ed '% #e ( +d $:e) e :e !ure:e+ o e reBue+#y o+w $# !: %% #e%% re!$de!, e $:' # $! :$+$:$Ced o+ e :o $%$ y 'er or: +#e o+ : #ro #e%% # rr$er! +de +u: er o $+ er- reBue+#y :e !ure:e+ F ! o 'er or:.

/r$ er$o+ ro: e ;$ew 'o$+ o $+ er- reBue+#y !: %% #e%% $de+ $ $# $o+, e !o%u $o+ 2 work! %!o or %e7 #y F !!$+#e $ re%$e! o+ e4$! $+7 # ++e%! +d 'ro#edure!.ro: e ;$ew 'o$+ o $+ r - reBue+#y :o $%$ y : #ro % yer, 'o e+ $ % $:' # o '$%o 'o%%u $o+ +eed! oe #o+!$dered. or F ! $+ e #o;er 7e o e !: %% #e%%, $ $! e4'e# ed !er;$#e w$%% e 'ro;$ded ye !: %% #e%% % yerQ, +d e+#e e '$%o 'o%%u $o+ # u!ed o+ e % yer o e : #ro #e%% $! +o #o+#er+.

@+ er ere+#e # u!e o F ! ou !$de e #o;er 7e o e !: %% #e%% $! %$:$ ed e# u!e d$!#o;ery !$7+ %!#o+!$! o #o::o+ # ++e%! o+%y, +d e$r 'ower # + e !e o 're;e+ %e k 7e ou !$de e $+ e+ded#o;er 7e o e !: %% #e%%.A+e # !e w ere e d$!#o;ery !$7+ % r +!:$ ed y e !: %% # + e u+ ##e' %e $! w e+ F doe!+o ;e e R # ' $%$ y o o'er e $+ e % yer o e !: %% #e%%, e# u!e e F # ++o e :o;ed oe !: %% #e%% % yer w $%e d$!#o;ery !$7+ % # + # u!e u+ ##e' %e $+ er ere+#e o+ e : #ro % yer ! e

F :o;e! ;ery #%o!e o e !: %% #e%%.

3GPP

3GPP TR 3)*+3, -((*(*. /.(/!(/"1(Release ((


52/53

Ta$le A!) Evaluation results on UE $ased pro@i&it% indication

UE $ased pro@i&it% detection Solution )"/r$ er$o+ 1 U e er F 'ower #o+!u:' $o+ $! redu#ed $! u' o F $:'%e:e+ $o+ !# e:e or R $+7er'r$+

:e !ure:e+ !./r$ er$o+ 2 ?e# u!e $+ er- reBue+#y :e !ure:e+ ! re o+%y 'er or:ed $+ e ;$#$+$ y o e !: %% #e%% #o;er 7e re

+d we do +o r7ue or +y %o+7er :e !ure:e+ 7 '!, e +u: er o $+ erru' $o+! o e !er;$+7 #e%% $!:$+$:$!ed.

/r$ er$o+ 3 *! $ $! 'o!!$ %e o 'er or: o+%y e r7e ed '% #e ( +d $:e) e :e !ure:e+ o e reBue+#y o+w $# !: %% #e%% re!$de!, e $:' # $! :$+$:$Ced o+ e :o $%$ y 'er or: +#e o+ : #ro #e%% # rr$er! +de +u: er o $+ er- reBue+#y :e !ure:e+ F ! o 'er or:.

/r$ er$o+ T ere $! +o $:' # o %e7 #y F .

Ta$le A! Evaluation results on Pro@i&it% detection $ased on &acro


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*++e4 ?/ +7e $! ory

8han'e histor%7ate TSG TSG 7oc* 8R Rev Su$jectld New2011-05 R2- R2-1136 3 - - ;0.0.1 !u:: r$C$+7 7ree:e+ ! o R* UG2 0.0.12011-06 R2- R2-113696 - - ;0.1.0 ! 7reed y e: $% er R* UG2 0.0.1 0.1.02011-09 R2- 5 R2-11 83 - - ;0.2.0 ! 7reed y e: $% er R* UG2 5 !u:: r$!$+7 e

7ree:e+ !0.1.0 0.2.0

2011-10 R2- 5 $! R2-115529 - - Re!u% o e: $% d$!#u!!$o+ [ 5 0 ] er R* 2 5 $! 0.2.0 0.2.12011-10 R2- 5 $! R2-115651 - - TR 36.839 ;0.3.0 ! 7reed y e: $% d$!#u!!$o+ [ 5 0 ] er

R* 2 5 $!0.2.1 0.3.0

2011-11 R2- 6 R2-11651 - - Re!u% o e: $% d$!#u!!$o+ [ 6 11] er R* 2 6 0.3.0 0.3.12011-11 R2- 6 R2-1165 5 - - TR 36.839 ;0. .0 ! 7reed y e: $% d$!#u!!$o+ [ 6 11] er R* 2

60.3.1 0. .0

2012-02 R2- R2-121028 - - Re!u% o e: $% d$!#u!!$o+ [ 08] er R* 2 0. .0 0. .12012-02 R2- R2-12105 - - TR 36.839 ;0.5.0 ! 7reed y e: $% d$!#u!!$o+ [ 08] er

R* 2 0. .1 0.5.0

2012-05 R2- 8 R2-12310 - - TR 36.839 ;0.6.0 ! 7reed $+ R* 2 8 0.5.0 0.6.02012-0 R2- 9 R2-123931 - - TR 36.839 ;0.6.1 ! 7reed $+ e: $% d$!#u!!$o+ [ 8 53] erR* 2 8

0.6.0 0.6.1

2012-08 R2- 9 R2-12 329 - - TR 36.839 ;0. .0 ! 7reed $+ R* 2 9 0.6.1. 0. .02012-08 R2- 9 R2-12 331 - - TR 36.839 ;0. .1 ! 7reed $+ e: $% d$!#u!!$o+ [ 9 18] er

R* 2 90. .0 0. .1

2012-08 R2- 9 R2-12 356 - - TR 36.839 ;2.0.0 ! 7reed $+ R* 2 9 0. .1 2.0.02012-09 RP-5 RP-121155 - - *''ro;ed T&G R* 5 +d 'u u+der / +7e /o+ ro% 2.0.0 11.0.02012-12 RP-58 RP-121962 0001 - /orre# $o+ o %$7+ '%o ! o+ A $%ure r e w$ e d $+ u% r 11.0 .0 11.1.0

3GPP TR 3)*+3, -((*(*. /.(/!(/"13Release ((

mobility enhancements in heterogeneous networks

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