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
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