Fading and Interference Mitigation in Wireless Communications

256 Pages·2013·15.632 MB·English

by  Stefan Panic, Mihajlo Stefanovic, Jelena Anastasov, Petar Spalevic

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The rapid advancement of various wireless communication system services has
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Mitigation in Wireless Communications will help you stay up to date with
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over fading channels in the presence of cochannel interference. i
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Stefan R. Panić
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The book presents a unified method for computing the performance of digital a
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communication systems characterized by a variety of modulation and detection d
types and channel models. Explaining the necessary concepts of digital I
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multichannel reception in various fading environments, influence of cochannel

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affected by various types of fading and shadowing. It also includes many t
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The book presents a large collection of system performance curves to help n

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presented collection of system performances will help you perform trade-off
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The concepts covered in this book can be useful across a range of applications, s

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K14694 a
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Fading and Interference
Mitigation in Wireless
Communications
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Fading and Interference
Mitigation in Wireless
Communications
Stefan R. Panić
Mihajlo Stefanović • Jelena Anastasov • Petar Spalević
CRC Press
Taylor & Francis Group
6000 Broken Sound Parkway NW, Suite 300
Boca Raton, FL 33487-2742
© 2014 by Taylor & Francis Group, LLC
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Version Date: 20131023
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Contents
Preface ix
NomeNclature xi
author xv
chaPter 1 INtroductIoN 1
chaPter 2 modelINg of fadINg chaNNels 3
2.1 Multipath Fading 4
2.1.1 Rayleigh Fading Model 4
2.1.2 Rician Fading Model 6
2.1.3 Hoyt Fading Model 7
2.1.4 Nakagami-m Fading Model 8
2.1.5 Weibull Fading Model 10
2.1.6 α-μ (Generalized Gamma) Fading Model 11
2.1.7 κ-μ Fading Model 13
2.1.8 η-μ Fading Model 15
2.2 Shadowing (Long Time Fading) 17
2.2.1 Log-Normal Shadowing Model 17
2.2.2 Gamma Shadowing Model 18
2.3 Composite Fading Models 19
2.3.1 Suzuki Fading Model 19
2.3.2 Generalized K Fading Model 20
2.3.3 Rician Shadowing Model 21
References 23
v
vi Contents
chaPter 3 correlatIve fadINg models 27
3.1 Novel Representations of Multivariate
Correlative α-μ Fading Model 27
3.1.1 Exponential Correlation Model 28
3.1.2 Constant Correlation Model 30
3.1.3 General Correlation Model 32
3.2 Bivariate Rician Distribution 33
3.3 Bivariate Hoyt Distribution 34
3.4 Bivariate Generalized K Distribution 35
References 35
chaPter 4 PerformaNces of dIgItal receIvers 39
4.1 System Performance Measures 39
4.1.1 Average Signal-to-Noise Ratio 39
4.1.2 Outage Probability 40
4.1.3 Average Symbol Error Probability 41
4.1.4 Amount of Fading 45
4.1.5 Level Crossing Rate 45
4.1.6 Average Fade Duration 46
4.2 Space Diversity Combining 46
4.2.1 Maximal Ratio Combining 48
4.2.2 Equal Gain Combining 50
4.2.3 Selection Combining 51
4.2.4 Switch-and-Stay Combining 53
4.3 Macrodiversity Reception 55
References 56
chaPter 5 sINgle-chaNNel receIver over fadINg
chaNNels IN the PreseNce of ccI 59
5.1 Performance Analysis of Reception over α-μ Fading
Channels in the Presence of CCI 59
5.2 Performance Analysis of the Reception over κ-μ
Fading Channels in the Presence of CCI 63
5.3 Performance Analysis of the Reception over Hoyt
Fading Channels in the Presence of CCI 66
5.4 Performance Analysis of the Reception over η-μ
Fading Channels in the Presence of CCI 70
5.5 Performance Analysis of the Reception over α-η-μ
Fading Channels in the Presence of CCI 72
5.6 Performance Analysis of the Reception over
Generalized K Fading Channels in the Presence of CCI 75
References 78
chaPter 6 multIchaNNel receIver over fadINg
chaNNels IN the PreseNce of ccI 81
6.1 Diversity Reception over α-μ Fading Channels
in the Presence of CCI 81
6.1.1 SSC Diversity Reception
with Uncorrelated Branches 81
Contents vii
6.1.2 SSC Diversity Reception
with Correlated Branches 84
6.1.3 SC Diversity Reception
with Uncorrelated Branches 92
6.1.4 SC Diversity Reception over Constantly
Correlated α-μ Fading Channels 98
6.1.5 SC Diversity Reception over Exponentially
Correlated α-μ Fading Channels 108
6.1.6 SC Diversity Reception over Generally
Correlated α-μ Fading Channels 120
6.2 Diversity Reception over Rician Fading
Channels in the Presence of CCI 122
6.2.1 SSC Diversity Reception
with Uncorrelated Branches 122
6.2.2 SSC Diversity Reception
with Correlated Branches 125
6.2.3 SC Diversity Reception
with Uncorrelated Branches 131
6.2.4 SC Diversity Reception
with Correlated Branches 132
6.3 Diversity Reception over Generalized K Fading
Channels in the Presence of CCI 137
6.3.1 SSC Diversity Reception
with Uncorrelated Branches 137
6.3.2 SSC Diversity Reception
with Correlated Branches 139
6.3.3 SC Diversity Reception
with Uncorrelated Branches 144
6.3.4 SC Diversity Reception
with Correlated Branches 146
6.4 Diversity Reception over Rayleigh
Fading Channels in Experiencing an
Arbitrary Number of Multiple CCI 150
6.4.1 SSC Diversity Reception
with Uncorrelated Branches 154
6.4.2 SSC Diversity Reception
with Correlated Branches 155
6.4.3 SC Diversity Reception
with Uncorrelated Branches 159
6.4.4 SC Diversity Reception
with Correlated Branches 161
References 167
chaPter 7 macrodIversIty recePtIoN over fadINg
chaNNels IN the PreseNce of shadowINg 171
7.1 SC Macrodiversity System Operating over Gamma-
Shadowed Nakagami-m Fading Channels 172
viii Contents
7.1.1 Uncorrelated Shadowing 173
7.1.2 Correlated Shadowing 181
7.2 SC Macrodiversity System Operating over Gamma-
Shadowed κ-μ Fading Channels 183
References 190
chaPter 8 evaluatIoNs of chaNNel caPacIty
uNder varIous adaPtatIoN PolIcIes aNd
dIversIty techNIques 193
8.1 Channel and System Model 193
8.1.1 κ-μ Fading Channel and System Model 196
8.1.2 Weibull Fading Channel and System Model 198
8.2 Optimal Power and Rate Adaptation Policy 199
8.2.1 κ-μ Fading Channels 200
8.2.2 Weibull Fading Channels 202
8.3 Constant Power with Optimal Rate Adaptation Policy 203
8.3.1 κ-μ Fading Channels 203
8.3.2 Weibull Fading Channels 204
8.4 Channel Inversion with Fixed Rate Adaptation Policy 205
8.4.1 κ-μ Fading Channels 206
8.4.2 Weibull Fading Channels 207
8.5 Truncated Channel Inversion with Fixed Rate 208
8.5.1 κ-μ Fading Channels 208
8.5.2 Weibull Fading Channels 209
8.6 Numerical Results 209
References 218
aPPeNdIx a 221
Preface
Professional bodies of note for electrical engineers, such as IET and
IEEE, have more than 500,000 members worldwide and hold more than
3,000 conferences annually. Many of the members of these bodies are
interested in advanced digital telecommunications and signal processing.
According to latest statistical figures, the United States produces 50,000
electrical engineers in a year as against 70,000 by India and 100,000
by China. Digital telecommunications and signal processing are man-
datory subjects at most of the faculties and colleges in these countries.
Considering these facts, this book could present itself as a useful literature
for introducing some basic principles of digital communications and its
mathematical formalization and also for staying updated with the recent
developments in the performance analysis of space diversity reception
over fading channels in the presence of cochannel interference (CCI).
Researchers have been studying problems associated with these
domains for more than 40 years, and system engineers have used
the theoretical and numerical results reported in the literature to
guide the design of their systems. In recent years, applications have
become increasingly sophisticated, thereby requiring more complex
models and improved diversity techniques along with the need to pro-
vide performance analyses of the scenarios studied.
The primary goal of this book is to present a unified method to
provide a set of tools that will allow the system designer to compute
ix