LTE-ADVANCED AND
NEXT GENERATION
WIRELESS NETWORKS
LTE-ADVANCED AND
NEXT GENERATION
WIRELESS NETWORKS
CHANNEL MODELLING AND
PROPAGATION
Editors
Guillaume de la Roche
Mindspeed Technologies, France
Andr´es Alay´on Glazunov
KTH Royal Institute of Technology, Sweden
Ben Allen
University of Bedfordshire, UK
A John Wiley & Sons, Ltd., Publication
This edition first published 2013
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Library of Congress Cataloging-in-Publication Data
LTE – advanced and next generation wireless networks : channel modelling and propagation / editors,
Guillaume de la Roche, Andr´es Alay´on Glazunov, Ben Allen.
p. cm.
Includes bibliographical references and index.
ISBN 978-1-119-97670-7 (cloth)
1. Long-Term Evolution (Telecommunications)
III. Allen, Ben (Benjamin Hugh)
Andr´es Alay´on.
I. De la Roche, Guillaume.
II. Glazunov,
TK5103.48325.L734 2012
621.39
81–dc23
A catalogue record for this book is available from the British Library.
ISBN: 9781119976707
Set in 10/12pt Times by Laserwords Private Limited, Chennai, India
2012015856
Contents
About the Editors
List of Contributors
Preface
Acknowledgements
List of Acronyms
Part I BACKGROUND
1
1.1
1.2
1.3
1.4
1.5
Enabling Technologies for 3GPP LTE-Advanced Networks
Narcis Cardona, Jose F. Monserrat and Jorge Cabrejas
Services
Spectrum
Technical Performance
Introduction
General IMT-Advanced Features and Requirements
1.2.1
1.2.2
1.2.3
Long Term Evolution Advanced Requirements
Requirements Related with Capacity
1.3.1
System Performance
1.3.2
1.3.3
Deployment
Long Term Evolution Advanced Enabling Technologies
1.4.1
1.4.2
1.4.3
1.4.4
1.4.5
1.4.6
1.4.7
1.4.8
Summary
References
Carrier Aggregation
Advanced MIMO Techniques
Coordinated Multipoint Transmission or Reception
Relaying
Enhancements for Home eNodeBs
Machine-Type Communications
Self-Optimizing Networks (SON)
Improvements to Latency in the Control and User Plane
xv
xvii
xix
xxiii
xxv
3
4
5
5
5
6
11
13
13
14
15
15
19
21
23
26
28
29
30
33
33
Time Variant Impulse Response
Directional Description and MIMO Matrix
Polarization
Ultrawideband Description
Free-Space Propagation and Antenna Gain
Reflection and Transmission
Diffraction
Scattering
Waveguiding
Multipath Propagation
Propagation and Channel Modeling Principles
Andreas F. Molisch
Propagation Principles
2.1.1
2.1.2
2.1.3
2.1.4
2.1.5
2.1.6
Deterministic Channel Descriptions
2.2.1
2.2.2
2.2.3
2.2.4
Stochastic Channel Description
Pathloss and Shadowing
2.3.1
Small-Scale Fading
2.3.2
WSSUS
2.3.3
2.3.4
Extended WSSUS
Channel Modeling Methods
2.4.1
2.4.2
2.4.3
2.4.4
2.4.5
2.4.6
2.4.7
References
Deterministic Modeling
Modeling Hierarchies
Clustering
Stochastic Modeling
Geometry-Based Stochastic Models
Diffuse Multipath Components
Multi-Link Stochastic Models
Part II RADIO CHANNELS
vi
2
2.1
2.2
2.3
2.4
3
3.1
3.2
3.3
Indoor Channels
Jianhua Zhang and Guangyi Liu
Introduction
Indoor Large Scale Fading
3.2.1
3.2.2
3.2.3
Indoor Small Scale Fading
3.3.1
3.3.2
3.3.3
3.3.4
Indoor Large Scale Models
Summary of Indoor Large Scale Characteristics
Important Factors for Indoor Propagation
Geometry-Based Stochastic Channel Model
Statistical Characteristics in Delay Domain
Statistical Parameter in Angular Domain
Cross-Polarization Discrimination (XPD) for Indoor
Scenario
Contents
35
35
36
36
37
38
39
40
41
42
44
45
45
46
47
48
49
51
51
51
52
53
56
58
61
61
62
67
67
69
69
72
78
83
83
84
87
88
3.3.5
3.3.6
References
3-D Modeling for Indoor MIMO Channel
Impact of Elevation Angular Distribution
Outdoor Channels
Petros Karadimas
Introduction
Reference Channel Model
Small Scale Variations
4.3.1
4.3.2
Path Loss and Large Scale Variations
Summary
Acknowledgements
References
First Order Statistical Characterization
Second Order Statistical Characterization
Outdoor-Indoor Channel
Andr´es Alay´on Glazunov, Zhihua Lai and Jie Zhang
Introduction
5.1
5.2 Modelling Principles
5.3
Empirical Propagation Models
5.3.1
5.3.2
Contents
4
4.1
4.2
4.3
4.4
4.5
5
5.4
5.5
5.3.3
5.3.4
5.3.5
5.3.6
5.3.7
Path Loss Exponent Model
Path Loss Exponent Model with Mean Building
Penetration Loss
Partition-Based Outdoor-to-Indoor Model
Path Loss Exponent Model with Building
Penetration Loss
COST 231 Building Penetration Loss Model
Excess Path Loss Building Penetration Models
Extended COST 231 WI Building Penetration
at the LOS Condition
WINNER II Outdoor-to-Indoor Path Loss Models
FDTD
Ray-Based Methods
Intelligent Ray Launching Algorithm (IRLA)
5.3.8
Deterministic Models
5.4.1
5.4.2
5.4.3
Hybrid Models
5.5.1
5.5.2
5.5.3
5.5.4
Acknowledgements
References
Antenna Radiation Pattern
Calibration
IRLA Case Study: INSA
IRLA Case Study: Xinghai
vii
90
92
93
97
97
98
103
103
106
117
119
120
120
123
123
124
127
128
128
130
130
131
133
134
135
137
138
138
141
142
142
143
144
149
149
149
viii
6
6.1
6.2
6.3
6.4
6.5
7
Channel Sounders
Vehicular Antennas
Vehicular Measurement Campaigns
Vehicular Channels
Laura Bernad´o, Nicolai Czink, Thomas Zemen, Alexander Paier,
Fredrik Tufvesson, Christoph Mecklenbr¨auker and Andreas F. Molisch
Introduction
Radio Channel Measurements
6.2.1
6.2.2
6.2.3
Vehicular Channel Characterization
6.3.1
6.3.2
6.3.3
Channel Models for Vehicular Communications
6.4.1
6.4.2
6.4.3
Channel Modeling Techniques
Geometry-Based Stochastic Channel Modeling
Low-Complexity Geometry-Based Stochastic Channel
Model Simulation
Time-Variability of the Channel
Time-Varying Vehicular Channel Parameters
Empirical Results
New Vehicular Communication Techniques
6.5.1
6.5.2
6.5.3
6.5.4
References
OFDM Physical (PHY) and Medium Access
Relaying Techniques
Cooperative Coding and Distributed Sensing
Outlook
Multi-User MIMO Channels
Fredrik Tufvesson, Katsuyuki Haneda and Veli-Matti Kolmonen
Introduction
7.1
7.2 Multi-User MIMO Measurements
7.2.1
7.2.2
7.2.3
7.2.4
7.2.5
General Information About Measurements
Measurement Techniques
Phase Noise
Measurement Antennas
Measurement Campaigns
7.3 Multi-User Channel Characterization
7.4 Multi-User Channel Models
Analytical Model
General Cluster Model
Particular Implementation of Cluster Models
7.4.1
7.4.2
7.4.3
References
8
8.1
Wideband Channels
Vit Sipal, David Edward and Ben Allen
Large Scale Channel Properties
8.1.1
8.1.2
Path Gain – Range Dependency
Path Gain – Frequency Dependency
Contents
153
153
154
155
157
158
160
160
166
169
171
171
173
177
180
180
181
182
182
182
187
187
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