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SDMA for Multipath Wireless Channels: Limiting Characteristics and Stochastic Models (Signals and Communication Technology) - Softcover
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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.
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From the Back Cover
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.
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SDMA for Multipath Wireless Channels (eng)
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SDMA for Multipath Wireless Channels: Limiting Characteristics and Stochastic Models (Signals and Communication Technology)
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SDMA for Multipath Wireless Channels
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Space Division Multiple Access (SDMA) is one of the most promising methods in solving the capacity problem of wireless communication systems.In addition tocreating 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 aparticular 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 alsoinvestigates 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. 176 pp. Englisch. Seller Inventory # 9783642623301
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SDMA for Multipath Wireless Channels
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Deals with the SDMA-technique (Space Division Multiple Access) for cellular radio systemsDefines the limits of SDMA in combination with other methodsStudies stochastic models for multipath random radio channelsSpace Division . Seller Inventory # 5064724
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SDMA for Multipath Wireless Channels
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SDMA for Multipath Wireless Channels
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SDMA for Multipath Wireless Channels
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 176 pp. Englisch. Seller Inventory # 9783642623301
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SDMA for Multipath Wireless Channels : Limiting Characteristics and Stochastic Models
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Space Division Multiple Access (SDMA) is one of the most promising methods in solving the capacity problem of wireless communication systems.In addition tocreating 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 aparticular 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 alsoinvestigates 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. Seller Inventory # 9783642623301
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SDMA for Multipath Wireless Channels: Limiting Characteristics and Stochastic Models (Signals and Communication Technology)
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