Overview
- Deals with the SDMA-technique (Space Division Multiple Access) for cellular radio systems
- Defines the limits of SDMA in combination with other methods
- Studies stochastic models for multipath random radio channels
Part of the book series: Signals and Communication Technology (SCT)
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Table of contents (8 chapters)
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Front Matter
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Back Matter
Keywords
About this book
Space Division Multiple Access (SDMA) is one of the most promising methods in solving the capacity problem of wireless communication systems. In addition to creating more efficient SDMA algorithms it is vital to determine and understand the theoretical limit of performance improvement. The greatest challenge is extending Shannon’s channel capacity equation to cover the wireless channels that use spatial signal processing. This book defines formulas which can be used to evaluate the limit capacity of multipath wireless channels in a particular receiving region with size limitation. It also contains charts with optimum numbers of space subchannels and limit capacities related to radio channel parameters. The book also investigates stochastic models for 2-D and 3-D multipath random radio channels. The non-ray method for building a stochastic model, based on spherical harmonics, is presented here for the first time.
Authors and Affiliations
Bibliographic Information
Book Title: SDMA for Multipath Wireless Channels
Book Subtitle: Limiting Characteristics and Stochastic Models
Authors: Igor P. Kovalyov
Series Title: Signals and Communication Technology
DOI: https://doi.org/10.1007/978-3-642-18863-3
Publisher: Springer Berlin, Heidelberg
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 2004
Hardcover ISBN: 978-3-540-40225-1Published: 05 March 2004
Softcover ISBN: 978-3-642-62330-1Published: 05 October 2012
eBook ISBN: 978-3-642-18863-3Published: 06 December 2012
Series ISSN: 1860-4862
Series E-ISSN: 1860-4870
Edition Number: 1
Number of Pages: XI, 160
Topics: Communications Engineering, Networks, Coding and Information Theory, Classical Electrodynamics, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences, Microwaves, RF and Optical Engineering, Signal, Image and Speech Processing