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Introduction to Space-Time Wireless Communications [Pehme köide]

(Stanford University, California), (Stanford University, California), (ETH Zürich, Switzerland)
  • Formaat: Paperback / softback, 308 pages, kõrgus x laius x paksus: 229x152x16 mm, kaal: 550 g, 6 Tables, unspecified
  • Ilmumisaeg: 19-Jun-2008
  • Kirjastus: Cambridge University Press
  • ISBN-10: 0521065933
  • ISBN-13: 9780521065931
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  • Formaat: Paperback / softback, 308 pages, kõrgus x laius x paksus: 229x152x16 mm, kaal: 550 g, 6 Tables, unspecified
  • Ilmumisaeg: 19-Jun-2008
  • Kirjastus: Cambridge University Press
  • ISBN-10: 0521065933
  • ISBN-13: 9780521065931
Teised raamatud teemal:
Wireless networks are under constant pressure to provide ever higher data rates to increasing numbers of users with greater reliability. Space-time processing technology, which uses multiple antennas and sophisticated signal processing techniques, is a powerful new tool for improving system performance. The technology already features in the UMTS and CDMA2000 mobile standards. This book is an accessible introduction to the theory of space-time wireless communications. The authors discuss the basics of space-time propagation, space-time channels, channel capacity, spatial diversity and space-time coding. They highlight important trade-offs in the design of practical systems and cover advanced topics such as space-time OFDM and spread-spectrum modulation, co-channel interference cancellation, and multiuser MIMO. The book is an ideal introduction to this rapidly growing field for graduate students taking courses on wireless communications and for practitioners in the wireless industry. Homework problems and other supporting material are available on a companion website.

Muu info

An accessible introduction to the theory of space-time wireless communications.
List of figures
xiv
List of tables
xxii
Preface xxiii
List of abbreviations
xxvi
List of symbols
xxix
Introduction
1(10)
History of radio, antennas and array signal processing
1(5)
Exploiting multiple antennas in wireless
6(3)
Array gain
7(1)
Diversity gain
7(1)
Spatial multiplexing (SM)
8(1)
Interference reduction
8(1)
ST wireless communication systems
9(2)
ST propagation
11(21)
Introduction
11(1)
The wireless channel
11(7)
Path loss
12(1)
Fading
12(6)
Scattering model in macrocells
18(2)
Channel as a ST random field
20(4)
Wide sense stationarity (WSS)
22(1)
Uncorrelated scattering (US)
22(1)
Homogeneous channels (HO)
23(1)
Scattering functions
24(3)
Polarization and field diverse channels
27(1)
Antenna array topology
28(1)
Degenerate channels
29(2)
Reciprocity and its implications
31(1)
ST channel and signal models
32(31)
Introduction
32(1)
Definitions
32(2)
SISO channel
32(1)
SIMO channel
33(1)
MISO channel
33(1)
MIMO channel
34(1)
Physical scattering model for ST channels
34(6)
SIMO channel
37(1)
MISO channel
37(1)
MIMO channel
38(2)
Extended channel models
40(3)
Spatial fading correlation
40(1)
LOS component
41(1)
Cross-polarized antennas
41(2)
Degenerate channels
43(1)
Statistical properties of H
43(2)
Singular values of H
43(1)
Squared Frobenius norm of H
44(1)
Channel measurements and test channels
45(3)
Sampled signal model
48(6)
Normalization
48(1)
SISO sampled signal model
49(2)
SIMO sampled signal model
51(1)
MISO sampled signal model
52(1)
MIMO sampled signal model
53(1)
ST multiuser and ST interference channels
54(2)
ST multiuser channel
54(1)
ST interference channel
55(1)
ST channel estimation
56(7)
Estimating the ST channel at the receiver
56(2)
Estimating the ST channel at the transmitter
58(5)
Capacity of ST channels
63(23)
Introduction
63(1)
Capacity of the frequency flat deterministic MIMO channel
63(2)
Channel unknown to the transmitter
65(1)
Channel known to the transmitter
66(5)
Capacities of SIMO and MISO channels
70(1)
Capacity of random MIMO channels
71(6)
Capacity of Hw, channels for large M
71(1)
Statistical characterization of the information rate
72(5)
Influence of Ricean fading, fading correlation, XPD and degeneracy on MIMO capacity
77(4)
Influence of the spatial fading correlation
77(1)
Influence of the LOS component
78(2)
Influence of XPD in a non-fading channel
80(1)
Influence of degeneracy
80(1)
Capacity of frequency selective MIMO channels
81(5)
Spatial diversity
86(26)
Introduction
86(1)
Diversity gain
86(4)
Coding gain vs diversity gain
89(1)
Spatial diversity vs time/frequency diversity
90(1)
Receive antenna diversity
90(2)
Transmit antenna diversity
92(8)
Channel unknown to the transmitter: MISO
93(2)
Channel known to the transmitter: MISO
95(2)
Channel unknown to the transmitter: MIMO
97(1)
Channel known to the transmitter: MIMO
98(2)
Diversity order and channel variability
100(2)
Diversity performance in extended channels
102(4)
Influence of signal correlation and gain imbalance
102(2)
Influence of Ricean fading
104(1)
Degenerate MIMO channels
105(1)
Combined space and path diversity
106(2)
Indirect transmit diversity
108(1)
Delay diversity
108(1)
Phase-roll diversity
108(1)
Diversity of a space-time-frequency selective fading channel
109(3)
ST coding without channel knowledge at transmitter
112(25)
Introduction
112(1)
Coding and interleaving architecture
113(1)
ST coding for frequency flat channels
114(15)
Signal model
114(1)
ST codeword design criteria
115(2)
ST diversity coding (rs ≤ 1)
117(6)
Performance issues
123(1)
Spatial multiplexing as a ST code (rs = Mτ)
123(3)
ST coding for intermediate rates (1 < rs < Mτ)
126(3)
ST coding for frequency selective channels
129(8)
Signal model
129(2)
ST codeword design criteria
131(6)
ST receivers
137(26)
Introduction
137(1)
Receivers: SISO
137(6)
Frequency flat channel
137(1)
Frequency selective channel
138(5)
Receivers: SIMO
143(5)
Frequency flat channel
143(1)
Frequency selective channels
144(4)
Receivers: MIMO
148(11)
ST diversity schemes
148(1)
SM schemes
149(9)
SM with horizontal and diagonal encoding
158(1)
Frequency selective channel
159(1)
Iterative MIMO receives
159(4)
Exploiting channel knowledge at the transmitter
163(15)
Introduction
163(1)
Linear pre-filtering
163(2)
Optimal pre-filtering for maximum rate
165(3)
Full channel knowledge
165(1)
Partial channel knowledge
166(2)
Optimal pre-filtering for error rate minimization
168(3)
Full channel knowledge
168(1)
Partial channel knowledge
168(3)
Selection at the transmitter
171(4)
Selection between SM and diversity coding
171(1)
Antenna selection
172(3)
Exploiting imperfect channel knowledge
175(3)
ST OFDM and spread spectrum modulation
178(21)
Introduction
178(1)
SISO-OFDM modulation
178(4)
MIMO-OFDM modulation
182(2)
Signaling and receivers for MIMO-OFDM
184(4)
Spatial diversity coding for MIMO-OFDM
184(2)
SM for MIMO-OFDM
186(1)
Space-frequency coded MIMO-OFDM
186(2)
SISO-SS modulation
188(5)
Frequency flat channel
188(3)
Frequency selective channel
191(2)
MIMO-SS modulation
193(1)
Signaling and receivers for MIMO-SS
194(5)
Spatial diversity coding for MIMO-SS
194(3)
SM for MIMO-SS
197(2)
MIMO-multiuser
199(19)
Introduction
199(2)
MIMO-MAC
201(7)
Signal model
201(1)
Capacity region
202(5)
Signaling and receiver design
207(1)
MIMO-BC
208(5)
Signal model
208(1)
Forward link capacity
208(1)
Signaling and receiver design
209(4)
Outage performance of MIMO-MU
213(3)
MU vs SU - single cell
214(1)
MU single cell vs SU multicell
215(1)
MIMO-MU with OFDM
216(1)
CDMA and multiple antennas
216(2)
ST co-channel interference mitigation
218(22)
Introduction
218(1)
CCI characteristics
219(1)
Signal models
219(5)
SIMO interference model (reverse link)
220(2)
MIMO interference channel (any link)
222(1)
MISO interference channel (forward link)
223(1)
CCI mitigation on receive for SIMO
224(4)
Frequency flat channel
224(2)
Frequency selective channel
226(2)
CCI mitigating receivers for MIMO
228(2)
Alamouti coded signal and interference (Mτ = 2)
229(1)
CCI mitigation on transmit for MISO
230(3)
Transmit-MRC or matched beamforming
230(1)
Transmit ZF or nulling beamformer
231(1)
Max SINR beamforming with coordination
232(1)
Joint encoding and decoding
233(1)
SS modulation
233(4)
ST-RAKE
234(1)
ST pre-RAKE
235(2)
OFDM modulation
237(1)
Interference diversity and multiple antennas
237(3)
Performance limits and tradeoffs in MIMO channels
240(14)
Introduction
240(1)
Error performance in fading channels
240(1)
Signaling rate vs PER vs SNR
241(3)
Spectral efficiency of ST coding/receiver techniques
244(6)
D-BLAST
244(1)
OSTBC
245(1)
ST receivers for SM
246(3)
Receiver comparison: Varying MT/MR
249(1)
System design
250(1)
Comments on capacity
251(3)
References 254(17)
Index of common variables 271(1)
Subject index 272
Arogyaswami Paulraj received his PhD from the Indian Institute of Technology and is a Professor of Electrical Engineering at Stanford University. He is the author of over 250 research papers and holds eight patents. He has held several positions in industry, including Chief Technology Officer of Iospan Wireless Inc, and he is a Fellow of the IEEE and a member of the Indian National Academy of Engineering. He is also the recipient of the 2014 Marconi Prize. Rohit Nabar is a Research Assistant in the Smart Antennas Research Group in the Electrical Engineering Department at Stanford University. Dhananjay Gore is a Research Assistant in the Smart Antennas Research Group in the Electrical Engineering Department at Stanford University.