COST 12 th MCM 2005/01/21, Bologna, Italy On the Cluster Properties - - PowerPoint PPT Presentation

COST 12th MCM

2005/01/21, Bologna, Italy

On the Cluster Properties in the UWB Spatio-Temporal Residential Measurements

TD(05)66 Katsuyuki Haneda, Jun-ichi Takada

UWB Technology Institute, National Institute of Information and Communication Technology / Tokyo Institute of Technology

Takehiko Kobayashi

UWB Technology Institute, National Institute of Information and Communication Technology / Tokyo Denki University

Table of contents

• Environments under consideration
• Analyses of the measured data
• Channel parameters and its physical

interpretation

• Summary
• Acknowledgement

Environments under consideration

• “Representative channels”

1. LOS room 2. OLOS Room-corridor 3. NLOS Room-corridor 4. NLOS Inter-room 5. NLOS Inter-floor 6. OLOS Indoor-outdoor 7. NLOS Indoor-outdoor

• Small number of measurements for stochastic

analyses

• Not achieved continuous measurements

Analyzing the measured data

1. Path extraction

– SAGE algorithm – 100 waves

2. Clusterization of the paths

– In spatio-temporal (DOA-TOA) domain – With a heuristic approach

3. Analyses of clusters

– These clusters are not considered:

• a. Power is less than 1% of the total received

power, and

• b. The number of paths is less than 5

– Channel parameters

Channel parameters

• 1. Number of clusters
• 2. Number of paths in each cluster
• 3. Standard deviation of the path

distribution within clusters w.r.t. azimuth / delay

• 4. Cluster power ratio
• 5. Percentage of the sum of extracted

power by the discrete components

• 6. Relative power of the diffuse paths

Channel parameters (1)

1. The num. of clusters / the num. of paths in each cluster

LOS room OLOS room-corridor NLOS room-corridor NLOS inter-room NLOS inter-floor OLOS indoor-outdoor

7 6 6 8 10 3

cluster

N

path

N

3 ~ 24 5 ~ 23 3 ~ 27 6 ~ 20 3 ~ 25 15 ~ 40 21 ~ 26 3

NLOS indoor-outdoor

Physical interpretation (1)

• Paths in the NLOS inter-floor measurement

Physical interpretation (2)

Tx Rx Metal shutter

• Indoor-outdoor meas.

Channel parameters (2)

2. Standard deviation of paths in azimuth / delay domains

φ

σ

LOS room OLOS room-corridor NLOS room-corridor NLOS inter-room NLOS inter-floor OLOS indoor-outdoor

1.9 ~ 4.5

τ

σ

[deg] [ns]

0.95 ~ 1.38 2.4 ~ 6.7 0.54 ~ 1.51 0.9 ~ 6.4 0.64 ~ 1.65 1.8 ~ 6.3 0.21 ~ 1.28 3.0 ~ 18.2 0.07 ~ 1.28 3.1 ~ 7.6 0.15 ~ 2.30 0.10 ~ 2.07 2.1 ~ 7.1

NLOS indoor-outdoor

Channel parameters (3)

3. Cluster power ratio / extracted power by 100 waves

LOS room OLOS room-corridor NLOS room-corridor NLOS inter-room NLOS inter-floor OLOS indoor-outdoor

[dB] cluster

K 3 . 2 − 6 . 3 − 5 . 2 − . 7 . 3 −

9.6

[%]

73.4 50.2 50.2 66.8 50.6 73.8

PCT

7.4 81.3

NLOS indoor-outdoor

Channel parameters (4)

4. Relative power of diffuse paths / extracted power by 100 waves

diffuse strong P

P /

LOS room OLOS room-corridor NLOS room-corridor NLOS inter-room NLOS inter-floor OLOS indoor-outdoor

39.6

[dB] [%]

73.4 34.1 50.2 33.9 50.2 39.1 66.8 29.4 50.6 35.6 73.8

PCT

81.3 37.6

NLOS indoor-outdoor

Summary

• Representative channel characterization by

several parameters

– Most of the representative (strongest) paths in each cluster are specular reflection / diffraction

• Extension of the analyses to consider the DODs
• For the stochastic analyses (Final Report)

– Channel data interpolation using the ray-tracing – Searching for literatures of residential channel parameters

• Double directional
• Full-polarimetric

Acknowledgement

• The authors would like to thank the

members of UWB Technology Institute, NICT, Japan.

– Prof. Dr. Kiyomichi Araki – Mr. Iwao Nishiyama – Dr. Honggang Zhang – Dr. Yuko Rikuta – Dr. Makoto Yoshikawa – Dr. Akira Akeyama – Dr. Osamu Sasaki – Mr. Fumio Ohkubo – Mr. Takahiro Miyamoto

Physical interpretation (3)

• Indoor-outdoor scenarios

– The strongest cluster carries most of the propagating power – Large and

• LOS scenario

– Contribution of power from scattered paths is large due to effective illumination of scattering objects by the Tx and Rx – Large (but small )

• NLOS (OLOS) scenarios

– The environment are often more diffuse in which huge number of weak paths aggregate – Small and

cluster

K PCT

cluster

K PCT

cluster

K PCT