dynamic integrated platform for multi ......conclusion a management flow and platform for...

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

Presentation OutlineBackgroundObjectiveDynamic Integrated Platform for Multi-Dimensional Data Analysis, DINOPropagation Data AnalysisSystem PlanningConclusion

Background I

MIMO

COMMUNICATION

SYSTEM

Promising candidate for future mobile communication systemsAccurate and objective performance evaluation is necessary

Background II

MIMO

CHANNEL

SOUNDER

MIMO channel sounding is necessaryHow should we analyze and process the enormous amount of data from the channel sounder ?

ObjectiveCreate an efficient platform for multi-dimensional data analysis and processing

Qualitative

Analysis

Quantitative

Analysis

Animations

MIMO System

Wave

PropagationPhysical

Environmen

DINO

t

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

Visualization of Propagation Parameters Module

R

M

B

G

C

Decreasin

g Pow

erD

ynamic range=

60dB

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

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

System-Level Analysis Module

Distribution

Correlation

Capacity

Eigenvalue Analysis

Construction ofH

Normalization

Utilization of DINO for Propagation Data Analysis

DINO Visualization of Propagation Parameters

System-LevelAnalysis

Statistical Propagation Data Analysis

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

animation

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

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

Utilization of DINO for System Planning

A

B

C

D C + power adaptation (water-filling solution)

30λ

30λ

60λ

1λ

1λ

1λ

Capacity Variation

CDF for Capacity

SISO

BA

C

D

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

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