dynamic integrated platform for multi ......conclusion a management flow and platform for...
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DYNAMIC INTEGRATED PLATFORM FOR MULTI-
DIMENSIONAL PROPAGATION DATA ANALYSIS
Tokyo Institute of TechnologyGraduate School of Science and EngineeringTing See Ho, Kei Sakaguchi, Jun-ichi Takada, Kiyomichi Araki
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Presentation OutlineBackgroundObjectiveDynamic Integrated Platform for Multi-Dimensional Data Analysis, DINOPropagation Data AnalysisSystem PlanningConclusion
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Background I
MIMO
COMMUNICATION
SYSTEM
Promising candidate for future mobile communication systemsAccurate and objective performance evaluation is necessary
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Background II
MIMO
CHANNEL
SOUNDER
MIMO channel sounding is necessaryHow should we analyze and process the enormous amount of data from the channel sounder ?
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ObjectiveCreate an efficient platform for multi-dimensional data analysis and processing
Qualitative
Analysis
Quantitative
Analysis
Animations
MIMO System
Wave
PropagationPhysical
Environmen
DINO
t
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DINOInput Data from MIMO Sounder
Raw Data Analysis
Frequency Domain Space DomainTime Domain
Statistical Propagation Data Analysis Visualization of
Propagation ParametersDINOSystem-Level
Analysis QUALITATIVE
QUANTITATIVE
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Visualization of Propagation Parameters Module
R
M
B
G
C
Decreasin
g Pow
erD
ynamic range=
60dB
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Statistical Propagation Data Analysis Module
Instantaneous Data Analysis
XP:Cross Polarization PowerXP
ΟEDOD
ΟΟADOD
ΟΟΟEDOA
ΟΟΟΟADOA
ΟΟΟΟΟDF
ΟΟΟΟΟΟDTOA
XPEDODADODEDOAADOADFDTOA
XP:Cross Polarization PowerXP
ΟEDOD
ΟΟADOD
ΟΟΟEDOA
ΟΟΟΟADOA
ΟΟΟΟΟDF
ΟΟΟΟΟΟDTOA
XPEDODADODEDOAADOADFDTOA
Ο : applicable Shaded area : not applicable
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Statistical Propagation Data Analysis Module
Midd
le-ter
m
fading
Profile Correlation
PDF Moments
Frame 1Frame 2
Frame 3
Short-term fading
Short-term fadingShort-term fading
…..
ANIMATION
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System-Level Analysis Module
Distribution
Correlation
Capacity
Eigenvalue Analysis
Construction ofH
Normalization
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Utilization of DINO for Propagation Data Analysis
DINO Visualization of Propagation Parameters
System-LevelAnalysis
Statistical Propagation Data Analysis
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Utilization of DINO for Propagation Data Analysis
Simulation I: Propagation Data Analysis
45mReceiver Height (BS)
2Max. no. of reflections and diffractions
2mTransmitter Height (MS)
3.35GHzFrequency
6D Unitary ESPRIT MIMO sounder3 X 3 URA (Tx & Rx)
System
Macrocell / Nihonbashi, TokyoEnvironment
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animation
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Utilization of DINO for System Planning
Fundamental problems in system planning:
Number of antennas at BS and MSAntenna spacing at BS and MS
A
B
C
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Utilization of DINO for System Planning
DINO
Physical Restrictions
Channel Data
System Specifications
System-Level Analysis
Results
•No. of antennas•Physical size of array•No. of carriers•Bandwidth•SNR
Statistical Propagation Data Analysis module
Objectives•Capacity•Bit rate
sub optimal optimal End
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Utilization of DINO for System Planning
A
B
C
D C + power adaptation (water-filling solution)
30λ
30λ
60λ
1λ
1λ
1λ
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Capacity Variation
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CDF for Capacity
SISO
BA
C
D
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Results
Antenna size
Antenna size
No. of antennas
No. of antennas
0.6β MHzλ360λ3C
λ
λ
30λ
30λ
0.4β MHzC + power adaptationD
β MHz23B
0.8β MHz25A
Bandwidth (100Mbps at 10% outage probability)
MobileStation
BaseStationMIMO
System
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ConclusionA management flow and platform for multi-dimensional data analysis is proposedThrough the simulations, the advantages derived from visualization in data analysis are confirmedDINO be used as a platform for
Propagation data analysisMIMO system design and evaluation
For future work, MIMO channel modelOptimization of MIMO communication systems