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E-grāmata: MIMO Wireless Communications over Generalized Fading Channels

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(IIT Ropar, India),
  • Formāts: 290 pages
  • Izdošanas datums: 12-Jul-2017
  • Izdevniecība: CRC Press
  • Valoda: eng
  • ISBN-13: 9781351642859
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MIMO Wireless Communications over Generalized Fading ChannelsPalielināt
  • Formāts: 290 pages
  • Izdošanas datums: 12-Jul-2017
  • Izdevniecība: CRC Press
  • Valoda: eng
  • ISBN-13: 9781351642859
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MIMO systems have been known to better the quality of service for wireless communication systems. This book discusses emerging techniques in MIMO systems to reduce complexities and keep benefits unaffected, at the same time. It discusses about benefits and shortcomings of various MIMO technologies like spatial multiplexing, space time coding, spatial modulation, transmit antenna selection and various power allocation schemes to optimize the performance. Crux of the book is focus on MIMO communication over generalized fading channels as they can model the propagation of signals in a non-homogeneous environment. Relevant MATLAB codes are also included in the appendices. Book is aimed at graduate students and researchers in electronics and wireless engineering specifically interested in electromagnetic theory, antennas and propagation, future wireless systems, signal processing.

List of Figures
xiii
List of Tables
xvii
Preface xix
Acknowledgments xxi
1 Introduction to MIMO Systems
1(28)
1.1 Evolution of MIMO systems
2(6)
1.1.1 Higher order modulation schemes
3(2)
1.1.2 Diversity techniques
5(1)
1.1.2.1 Selection diversity
6(1)
1.1.2.2 Equal gain combining
6(1)
1.1.2.3 Maximal ratio combining
7(1)
1.2 MIMO system and channel models
8(2)
1.3 Open loop MIMO systems
10(10)
1.3.1 Spatial multiplexing
11(2)
1.3.2 Space time block codes
13(3)
1.3.3 Spatial modulation
16(4)
1.4 Closed loop MIMO systems
20(9)
1.4.1 Power allocation
20(3)
1.4.2 Transmit antenna selection
23(3)
1.4.2.1 Selection combining at the receiver
26(1)
1.4.2.2 MRC at the receiver
26(1)
1.4.3 Transmit antenna selection based spatial modulation
27(2)
2 Generalized Fading Channels
29(34)
2.1 Introduction
30(1)
2.2 Introduction to fading channels
31(1)
2.2.1 Fast and slow fading
31(1)
2.2.2 Frequency flat and frequency selective fading
31(1)
2.3 Commonly used fading distributions
32(2)
2.3.1 Rayleigh fading
33(1)
2.3.2 Hoyt fading
33(1)
2.3.3 Rician fading
34(1)
2.4 Generalized fading distributions
34(20)
2.4.1 Nakagami-m fading
35(1)
2.4.1.1 Physical model
35(1)
2.4.1.2 CDF and MGF of Nakagami-m fading
36(1)
2.4.1.3 Special cases
37(1)
2.4.2 κ - μ fading
38(1)
2.4.2.1 Physical model
39(2)
2.4.2.2 η - μ fading: PDF of SNR
41(1)
2.4.2.3 CDF and MGF of η - η fading
41(1)
2.4.2.4 Special cases
42(2)
2.4.3 κ - μ fading
44(1)
2.4.3.1 Physical model
44(2)
2.4.3.2 CDF and MGF of κ - μ fading
46(1)
2.4.3.3 Special cases
46(2)
2.4.4 α - μ fading
48(1)
2.4.4.1 Physical model
48(2)
2.4.4.2 CDF and MGF of α - μ fading
50(1)
2.4.4.3 Special cases
51(3)
2.5 Generation of channel coefficients
54(9)
2.5.1 Channel coefficients for commonly used fading distributions
54(2)
2.5.2 Channel coefficients for generalized fading distributions
56(1)
2.5.2.1 Generating Nakagami-m faded channel coefficients
56(2)
2.5.2.2 Generating η - μ faded channel coefficients
58(1)
2.5.2.3 Generating κ - μ faded channel coefficients
59(1)
2.5.2.4 Generating α - μ faded channel coefficients
60(3)
3 Spatial Multiplexing
63(24)
3.1 Introduction
63(1)
3.2 Diversity multiplexing trade-off and the capacity of MIMO systems
64(2)
3.3 Spatial multiplexing
66(4)
3.3.1 Detection complexity of spatially multiplexed systems
69(1)
3.4 Nakagami-m fading channel model for spatially multiplexed systems
70(5)
3.5 Spatial multiplexing over η - μ fading channels
75(3)
3.6 Spatial multiplexing over η - μ fading channels
78(3)
3.7 Spatial multiplexing over α - μ fading channels
81(6)
4 Spatial Modulation
87(24)
4.1 Introduction
87(1)
4.2 SM transmission reception schemes
88(2)
4.3 Performance analysis of SM MIMO systems
90(4)
4.3.1 Outage probability
91(1)
4.3.2 Symbol error rate
91(2)
4.3.3 Channel capacity
93(1)
4.4 Performance of SM systems over Nakagami-m fading channels
94(5)
4.4.1 Outage probability
94(1)
4.4.2 Symbol error rate
95(4)
4.5 Error performance of SM systems over κ - μ fading channels
99(4)
4.6 Error performance of SM systems over η - μ fading channels
103(2)
4.7 Error performance of SM systems over α - μ fading channels
105(2)
4.8 Generalized spatial modulation
107(4)
5 Transmit Antenna Selection
111(42)
5.1 Introduction
112(1)
5.2 Antenna selection criteria
113(3)
5.2.1 Received power based antenna selection
113(1)
5.2.1.1 Norm based transmit antenna selection
114(1)
5.2.2 Capacity based antenna selection
115(1)
5.3 TAS system model
116(3)
5.4 TAS over Nakagami-m fading channels
119(10)
5.4.1 PDF of received SNR after antenna selection
119(2)
5.4.2 Outage probability
121(3)
5.4.3 Error performance analysis
124(1)
5.4.3.1 BPSK and MPSK modulation schemes
125(2)
5.4.3.2 MQAM and QPSK modulation schemes
127(2)
5.5 TAS over κ - μ fading channels
129(10)
5.5.1 PDF of received SNR after antenna selection
130(1)
5.5.2 Outage probability
131(1)
5.5.3 Error performance
132(2)
5.5.4 BPSK and MPSK modulation schemes
134(2)
5.5.5 MQAM and QPSK modulation schemes
136(1)
5.5.6 Channel capacity
136(3)
5.6 TAS over η - μ fading channels
139(10)
5.6.1 PDF and MGF of received SNR after antenna selection
140(2)
5.6.2 Probability of error
142(1)
5.6.2.1 Approximate probability of error
142(1)
5.6.2.2 Exact probability of error
143(2)
5.6.2.3 Asymptotic probability of error
145(1)
5.6.3 Channel capacity
146(3)
5.7 TAS over α - μ fading channels
149(4)
5.7.1 Outage probability
150(1)
5.7.2 Error performance
151(2)
6 Space Time Block Coded MIMO Systems
153(50)
6.1 Introduction
153(2)
6.2 STBC design criteria
155(7)
6.2.1 Rank determinant criteria
155(4)
6.2.2 Trace criteria
159(1)
6.2.3 Rank determinant criteria verification for Alamouti space time code
160(2)
6.3 Generator matrix for STBC design
162(5)
6.3.1 Generator matrix for real constellations
163(1)
6.3.2 Generator matrix for complex constellations
164(3)
6.4 STBC detection
167(7)
6.4.1 Detection for single receiver antenna
168(3)
6.4.2 Detection for multiple receiver antenna
171(3)
6.5 STBC systems over Nakagami-m fading channels
174(8)
6.5.1 PDF of SNR at receiver
175(1)
6.5.2 Outage probability
176(1)
6.5.3 Error performance analysis
176(4)
6.5.3.1 Approximate error performance
180(2)
6.6 STBC systems over κ - μ fading channels
182(8)
6.6.1 PDF of SNR at receiver
182(1)
6.6.2 Outage probability
183(1)
6.6.3 Error performance analysis
184(6)
6.7 STBC systems over η - μ fading channels
190(8)
6.7.1 PDF of SNR at receiver
191(1)
6.7.2 Outage probability
191(1)
6.7.3 Error performance analysis
192(6)
6.8 STBC systems over α - μ fading channels
198(5)
7 MIMO for 5G Mobile Communications
203(22)
7.1 Multiuser MIMO
204(3)
7.1.1 Uplink
205(1)
7.1.2 Downlink
206(1)
7.2 Massive MIMO
207(7)
7.2.1 Uplink capacity analysis
208(2)
7.2.2 Downlink capacity analysis
210(2)
7.2.3 Outage probabilty
212(2)
7.3 mm Wave massive MIMO
214(5)
7.3.1 Requirements for 5G mobile
214(1)
7.3.2 Three big pillars for 5G mobile
215(3)
7.3.3 Channel model for 60GHz mmWave WPAN
218(1)
7.4 Device-to-device communication for Internet of things
219(3)
7.4.1 V2V and V2I channel models
220(1)
7.4.2 Channel models for mobile D2D cooperative communications
220(2)
7.5 Large scale MIMO systems
222(3)
7.5.1 Low complexity MIMO detection
222(1)
7.5.2 Perfect space time codes
223(1)
7.5.3 Bounds on capacity
223(2)
A Appendix
225(12)
A.1 Parameters for various modulation schemes
225(1)
A.2 Approximation of Gaussian Q function
226(1)
A.3 Detailed solution for (5.95)
227(1)
A.4 CDF of Nakagami-m distributed SNR
228(1)
A.5 MGF of Nakagami-m distributed SNR
229(1)
A.6 CDF of κ - μ distributed SNR
229(2)
A.7 MGF of κ - μ distributed SNR
231(1)
A.8 CDF of η - μ distributed SNR
232(1)
A.9 MGF of η - μ distributed SNR
233(1)
A.10 CDF of α - μ distributed SNR
234(3)
B MATLAB™ Codes for Generating Results
237(16)
B.1 MATLAB scripts for plotting PDF of envelope and SNR of generalized fading channels and verification by generating channel coefficients
238(4)
B.1.1 Nakagami-m fading distribution
238(1)
B.1.2 κ - μ fading distribution
239(1)
B.1.3 η - μ fading distribution
240(1)
B.1.4 α - μ fading distribution
241(1)
B.2 MATLAB functions for generating channel coefficients of generalized fading channels
242(2)
B.2.1 Nakagami-m fading distribution
242(1)
B.2.2 κ - μ fading distribution
243(1)
B.2.3 η - μ fading distribution
243(1)
B.2.4 α - μ fading distribution
244(1)
B.3 MATLAB functions for evaluating MGF of received SNR after MRC
244(2)
B.3.1 Nakagami-m fading distribution
244(1)
B.3.2 κ - μ fading distribution
244(1)
B.3.3 η - μ fading distribution
245(1)
B.3.4 α - μ fading distribution
245(1)
B.4 MATLAB script for SER of spatially multiplexed MIMO system
246(1)
B.5 MATLAB script for SER of SM MIMO system
247(2)
B.5.1 Function for mapping the incoming bits to an SM symbol
248(1)
B.6 MATLAB script for SER of 2 x 2 Alamouti STBC MIMO system
249(1)
B.7 MATLAB script for SER of TAS MIMO system with MRC at the receiver
250(3)
References 253(12)
Index 265
Brijesh Kumbhani received the PhD degree from the Department of Electronics and Electrical Engineering (EEE), Indian Institute of Technology Guwahati in 2015. He completed his BE degree in Electronics and Communication Engineering (ECE) from Dharmsinh Desai University (DDU), Nadiad, India, in 2010. Since June 2016, he is working as an Assistant Professor at Indian Institute of Technology Ropar. He has worked as an Assistant Professor at Indian Institute of Information Technology Kota (July 2015 June 2016). His research interests are in the areas of MIMO wireless communication and UWB communication systems. He has been involved in organizing several workshops under IEEE student branch. He has delivered talks on recent advances in wireless communications at various national level workshops and symposia. He is a reviewer of KSII Transactions on Internet and Information Systems (TIIS), AEU International Journal of Electronics and Communications (Elsevier), and International Journal of Ultra Wideband Communications and Systems (Inderscience). Since 2016, he is a member of IEEE, USA and overseas member of IEICE, Japan.



Rakhesh Singh Kshetrimayum is a Professor in the department of EEE, IIT Guwahati. He received the Ph.D. degree from the School of EEE, NTU Singapore in 2005. Prior to joining IIT Guwahati in 2005 as a faculty member, he did Postdoctoral research from the department of EE, Pennsylvania State University USA (2005) and the department of ECE, IISc Bangalore (2004-2005). He has chaired several IEEE international conferences including NCC 2016, Guwahati (TPC chair), DSP 2015, Singapore (Session co-chair), AEMC 2015, Guwahati (TPC co-chair) and WOCN 2011, Paris (TPC co-chair), NCC 2011, Bangalore (Session chair), CMC 2010, Shenzhen (Publication co-chair) and NetCom 2009, Chennai (Program co-chair). He is an Editorial Board Member of International Journal of RF and Microwave Computer-Aided Engineering (Wiley), AEU International Journal of Electronics and Communications (Elsevier), Associate Editor of IET Journal of Engineering, Editor of Transactions on Internet and Information Systems (Korean Society for Internet Information) and Editor-in-Chief of International Journal of Ultra Wideband Communications and Systems (Inderscience). He is the recipient of Best Work-in-Progress, IEEE International Conference on Accessibility to Digital World (2016), IETE M. Rathore Memorial Award (2015), Senior Engineer's Forum of Greater Guwahati Young Engineer Award (2011), Dept. of Science & Technology India (SERC) Fast Track Scheme for Young Scientists (2007-2010) and NTU Research Scholarship from 2001-2004. His current areas of research interests are in microwave/millimeter wave antennas/circuits, UWB communications & MIMO wireless communications. He has guided several postgraduate students (5 PhD theses and 29 MTech theses), authored/co-authored 3 books and published over 110 research papers. He is a Life Fellow of the IETE, Optical Society of India, Antennas Test & Measurement Society of India, a Senior Member of IEEE, USA, a Life Member of Applied Computational Electromagnetics Society, USA and a Member of ACM, USA and SPIE, USA.
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