Adaptive wireless communications : MIMO channels and networks / Daniel W. Bliss, Arizona State University ; Siddhartan Govindasamy, Franklin W. Olin College of Engineering, Massachusetts.
Adopting a balanced mix of theory, algorithms and practical design issues, this comprehensive volume explores cutting-edge applications in adaptive wireless communications and the implications these techniques have for future wireless network performance. Presenting practical concerns in the context...
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| Language: | English |
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| 100 | 1 | |a Bliss, Daniel W., |d 1966- |e author. |1 https://id.oclc.org/worldcat/entity/E39PCjyYrckqRKM86YCvyWPjfm | |
| 245 | 1 | 0 | |a Adaptive wireless communications : |b MIMO channels and networks / |c Daniel W. Bliss, Arizona State University ; Siddhartan Govindasamy, Franklin W. Olin College of Engineering, Massachusetts. |
| 264 | 1 | |a Cambridge : |b Cambridge University Press, |c 2013. | |
| 264 | 4 | |c ©2013 | |
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| 520 | |a Adopting a balanced mix of theory, algorithms and practical design issues, this comprehensive volume explores cutting-edge applications in adaptive wireless communications and the implications these techniques have for future wireless network performance. Presenting practical concerns in the context of different strands from information theory, parameter estimation theory, array processing and wireless communication, the authors present a complete picture of the field. Topics covered include advanced multiple-antenna adaptive processing, ad hoc networking, MIMO, MAC protocols, space-time coding, cellular networks and cognitive radio, with the significance and effects of both internal and external interference a recurrent theme throughout. A broad, self-contained technical introduction to all the necessary mathematics, statistics, estimation theory and information theory is included, and topics are accompanied by a range of engaging end-of-chapter problems. with solutions available online, this is the perfect self-study resource for students of advanced wireless systems and wireless industry professionals. | ||
| 504 | |a Includes bibliographical references (pages 569-588) and index. | ||
| 505 | 0 | |a History -- Notational and mathematical preliminaries -- Probability and statistics -- Wireless communications fundamentals -- Simple channels -- Antenna arrays -- Angle-of-arrival estimation -- MIMO channel -- Spatially adaptive receivers -- Dispersive and doubly dispersive channels -- Space-time coding -- 2 x 2 network -- Cellular networks -- Ad hoc networks -- Medium-access-control protocols -- Cognitive radios -- Multiple-antenna acquisition and synchronization -- Practical issues. | |
| 588 | 0 | |a Print version record. | |
| 650 | 0 | |a MIMO systems. | |
| 650 | 0 | |a Wireless communication systems. | |
| 650 | 0 | |a Adaptive signal processing. | |
| 650 | 7 | |a Adaptive signal processing |2 fast | |
| 650 | 7 | |a MIMO systems |2 fast | |
| 650 | 7 | |a Wireless communication systems |2 fast | |
| 700 | 1 | |a Govindasamy, Siddhartan, |e author. | |
| 758 | |i has work: |a Adaptive wireless communications (Text) |1 https://id.oclc.org/worldcat/entity/E39PCGtD6YPbKHPkY6qbDxxybb |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 776 | 0 | 8 | |i Print version: |a Bliss, Daniel W., 1966- |t Adaptive wireless communications. |d Cambridge : Cambridge University Press, 2013 |z 9781107033207 |w (DLC) 2012049257 |w (OCoLC)813938871 |
| 856 | 4 | 0 | |u https://colorado.idm.oclc.org/login?url=https://doi.org/10.1017/CBO9781139519465 |z Full Text (via Cambridge) |
| 880 | 8 | |6 505-00/(S |a 2.14.4 Lambert W function -- 2.14.5 Bessel functions -- 2.14.6 Error function -- 2.14.7 Gaussian Q-function -- 2.14.8 Marcum Q-function -- Problems -- 3 Probability and statistics -- 3.1 Probability -- 3.1.1 Bayes' theorem -- 3.1.2 Change of variables -- 3.1.3 Central moments of a distribution -- 3.1.4 Noncentral moments of a distribution -- 3.1.5 Characteristic function -- 3.1.6 Cumulants of distributions -- 3.1.7 Multivariate probability distributions -- 3.1.8 Gaussian distribution -- 3.1.9 Rayleigh distribution -- 3.1.10 Exponential distribution -- 3.1.11 Central χ2 distribution -- 3.1.12 Noncentral χ2 distribution -- 3.1.13 F distribution -- 3.1.14 Rician distribution -- 3.1.15 Nakagami distribution -- 3.1.16 Poisson distribution -- 3.1.17 Beta distribution -- 3.1.18 Logarithmically normal distribution -- 3.1.19 Sum of random variables -- 3.1.20 Product of Gaussians -- 3.2 Convergence of random variables -- 3.2.1 Convergence modes of random variables -- 3.2.2 Relationship between modes of convergence -- 3.3 Random processes -- 3.3.1 Wide-sense stationary random processes -- 3.3.2 Action of linear-time-invariant systems on wide-sense stationary random processes -- 3.3.3 White-noise processes -- 3.4 Poisson processes -- 3.5 Eigenvalue distributions of finite Wishart matrices -- 3.6 Asymptotic eigenvalue distributions of Wishart matrices -- 3.6.1 Marcenko-Pastur theorem -- 3.7 Estimation and detection in additive Gaussian noise -- 3.7.1 Estimation in additive Gaussian noise -- 3.7.2 Detection in additive Gaussian noise -- 3.7.3 Receiver operating characteristics -- 3.8 Cramer-Rao parameter estimation bound -- 3.8.1 Real parameter formulation -- 3.8.2 Real multivariate Cramer-Rao bound -- 3.8.3 Cramer-Rao bound for complex parameters -- Problems -- 4 Wireless communications fundamentals -- 4.1 Communication stack -- 4.2 Reference digital radio link. | |
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