SDMA for Multipath Wireless Channels: Limiting Characteristics and Stochastic Models
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...
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Berlin, Heidelberg
Springer Berlin Heidelberg
2004
|
| Schriftenreihe: | Signals and Communication Technology
|
| Schlagworte: | |
| Online-Zugang: | FHI01 BTU01 Volltext |
| Zusammenfassung: | 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 |
| Beschreibung: | 1 Online-Ressource (XI, 160 p) |
| ISBN: | 9783642188633 |
| DOI: | 10.1007/978-3-642-18863-3 |
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Datensatz im Suchindex
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| format | Electronic eBook |
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| id | DE-604.BV045149293 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T08:10:03Z |
| institution | BVB |
| isbn | 9783642188633 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030538992 |
| oclc_num | 1050947888 |
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| physical | 1 Online-Ressource (XI, 160 p) |
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| publisher | Springer Berlin Heidelberg |
| record_format | marc |
| series2 | Signals and Communication Technology |
| spelling | Kovalyov, Igor P. Verfasser aut SDMA for Multipath Wireless Channels Limiting Characteristics and Stochastic Models by Igor P. Kovalyov Berlin, Heidelberg Springer Berlin Heidelberg 2004 1 Online-Ressource (XI, 160 p) txt rdacontent c rdamedia cr rdacarrier Signals and Communication Technology 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 Engineering Communications Engineering, Networks Coding and Information Theory Optics and Electrodynamics Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Microwaves, RF and Optical Engineering Signal, Image and Speech Processing Coding theory Optics Electrodynamics Statistics Microwaves Optical engineering Electrical engineering Erscheint auch als Druck-Ausgabe 9783642623301 https://doi.org/10.1007/978-3-642-18863-3 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Kovalyov, Igor P. SDMA for Multipath Wireless Channels Limiting Characteristics and Stochastic Models Engineering Communications Engineering, Networks Coding and Information Theory Optics and Electrodynamics Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Microwaves, RF and Optical Engineering Signal, Image and Speech Processing Coding theory Optics Electrodynamics Statistics Microwaves Optical engineering Electrical engineering |
| title | SDMA for Multipath Wireless Channels Limiting Characteristics and Stochastic Models |
| title_auth | SDMA for Multipath Wireless Channels Limiting Characteristics and Stochastic Models |
| title_exact_search | SDMA for Multipath Wireless Channels Limiting Characteristics and Stochastic Models |
| title_full | SDMA for Multipath Wireless Channels Limiting Characteristics and Stochastic Models by Igor P. Kovalyov |
| title_fullStr | SDMA for Multipath Wireless Channels Limiting Characteristics and Stochastic Models by Igor P. Kovalyov |
| title_full_unstemmed | SDMA for Multipath Wireless Channels Limiting Characteristics and Stochastic Models by Igor P. Kovalyov |
| title_short | SDMA for Multipath Wireless Channels |
| title_sort | sdma for multipath wireless channels limiting characteristics and stochastic models |
| title_sub | Limiting Characteristics and Stochastic Models |
| topic | Engineering Communications Engineering, Networks Coding and Information Theory Optics and Electrodynamics Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Microwaves, RF and Optical Engineering Signal, Image and Speech Processing Coding theory Optics Electrodynamics Statistics Microwaves Optical engineering Electrical engineering |
| topic_facet | Engineering Communications Engineering, Networks Coding and Information Theory Optics and Electrodynamics Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Microwaves, RF and Optical Engineering Signal, Image and Speech Processing Coding theory Optics Electrodynamics Statistics Microwaves Optical engineering Electrical engineering |
| url | https://doi.org/10.1007/978-3-642-18863-3 |
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