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020 _a9781402040757
_99781402040757
024 7 _a10.1007/140204075-X
_2doi
035 _avtls000334613
039 9 _a201509030247
_bVLOAD
_c201404120819
_dVLOAD
_c201404090558
_dVLOAD
_y201402041153
_zstaff
040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
050 4 _aTK1-9971
100 1 _aSchlegel, Christian.
_eautor
_9306648
245 1 0 _aCoordinated Multiuser Communications /
_cby Christian Schlegel, Alex Grant.
264 1 _aDordrecht :
_bSpringer Netherlands,
_c2006.
300 _axx, 270 páginas
_brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
500 _aSpringer eBooks
505 0 _aIntroduction. The Dawn of Digital Communications. Multiple Terminal Networks. Multiple-Access Channel. Degrees of Coordination. Network vs. Signal Processing Complexity. Future Directions -- Linear Multiple-Access. Continuous Time Model. Discrete Time Model. Matrix-Algebraic Representation. Symbol Synchronous Model. Principles of Detection. Access Strategies. Sequence Design -- Multiuser Information Theory. Introduction. The Multiple-Access Channel. Binary-Input Channels. Gaussian Multiple-Access Channels. Multiple-Access Codes. Superposition and Layering. Feedback. Asynchronous Channels -- Multiuser Detection. Introduction. Optimal Detection. Sub-Exponential Complexity Signature Sequences. Signal Layering. Different Received Power Levels -- Implementation of Multiuser Detectors. Iterative Filter Implementation. Approximate Maximum Likelihood. Approximate APP Computation. List Sphere Detector -- Joint Multiuser Decoding. Introduction. Single-User Decoding. Iterative Decoding. Filters in the Loop. Asymmetric Operating Conditions. Proof of Lemma -- Estimation and Detection. Bayesian Estimation and Detection. Sufficiency. Linear Cost. Quadratic Cost. Minimum Mean Squared Error. Cramér-Rao Inequality. Jointly Gaussian Model. Linear MMSE Estimation. Hamming Cost. Minimum probability of Error. Relation to the MMSE Estimator. Maximum Likelihood Estimation -- References -- Author Index -- Subject Index.
520 _aCoordinated Multiuser Communications provides for the first time a unified treatment of multiuser detection and multiuser decoding in a single volume. Many communications systems, such as cellular mobile radio and wireless local area networks, are subject to multiple-access interference, caused by a multitude of users sharing a common transmission medium. The performance of receiver systems in such cases can be greatly improved by the application of joint detection and decoding methods. Multiuser detection and decoding not only improve system reliability and capacity, they also simplify the problem of resource allocation. Coordinated Multiuser Communications provides the reader with tools for the design and analysis of joint detection and joint decoding methods. These methods are developed within a unified framework of linear multiple-access channels, which includes code-division multiple-access, multiple antenna channels and orthogonal frequency division multiple access. Emphasis is placed on practical implementation aspects and modern iterative processing techniques for systems both with, and without integrated error control coding. Focusing on the theory and practice of unifying accessing and transmission aspects of communications, this book is a valuable reference for students, researchers and practicing engineers.
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700 1 _aGrant, Alex.
_eautor
_9306649
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9781402040740
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/1-4020-4075-X
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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999 _c281183
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