How significant is the assumption of the uniform channel phase distribution on the performance of spatial multiplexing MIMO system?
Spatial multiplexing (SMX) multiple-input multiple-output (MIMO) systems are promising candidates to enhance the achievable throughput and the overall spectral efficiency in future wireless systems. Performance studies of these systems over different channel conditions assume simplified models for t...
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Veröffentlicht in: | Wireless networks 2017-10, Vol.23 (7), p.2281-2288 |
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creator | Mesleh, Raed Badarneh, Osamah S. Younis, Abdelhamid Almehmadi, Fares S. |
description | Spatial multiplexing (SMX) multiple-input multiple-output (MIMO) systems are promising candidates to enhance the achievable throughput and the overall spectral efficiency in future wireless systems. Performance studies of these systems over different channel conditions assume simplified models for the channel phase distribution. This paper highlights the impact of the channel phase distribution assumption on the performance of SMX MIMO systems. The Nakagami-
m
and the
η
-
μ
fading channels are considered in this study. In existing literature, performance studies of SMX MIMO systems over Nakagami-
m
fading channel assume uniform phase distribution. Though, it has been reported recently that the Nakagami-
m
channel phase distribution is not uniform. In this article, we show that the assumption of the channel phase distribution has a major impact on the performance of SMX MIMO systems. The obtained results demonstrate that the performance of SMX MIMO systems significantly varies with different channel phase distributions. Furthermore, it is shown that uniform assumption of channel phase distribution is incorrect and leads to erroneous conclusions. Detailed performance analysis for more accurate channel models are provided and results are sustained through Monte-Carlo simulations. |
doi_str_mv | 10.1007/s11276-016-1286-z |
format | Article |
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m
and the
η
-
μ
fading channels are considered in this study. In existing literature, performance studies of SMX MIMO systems over Nakagami-
m
fading channel assume uniform phase distribution. Though, it has been reported recently that the Nakagami-
m
channel phase distribution is not uniform. In this article, we show that the assumption of the channel phase distribution has a major impact on the performance of SMX MIMO systems. The obtained results demonstrate that the performance of SMX MIMO systems significantly varies with different channel phase distributions. Furthermore, it is shown that uniform assumption of channel phase distribution is incorrect and leads to erroneous conclusions. Detailed performance analysis for more accurate channel models are provided and results are sustained through Monte-Carlo simulations.</description><identifier>ISSN: 1022-0038</identifier><identifier>EISSN: 1572-8196</identifier><identifier>DOI: 10.1007/s11276-016-1286-z</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Communications Engineering ; Computer Communication Networks ; Computer simulation ; Dispersion ; Electrical Engineering ; Engineering ; Fading ; IT in Business ; MIMO (control systems) ; Monte Carlo simulation ; Multiplexing ; Networks ; Phase distribution ; Poultry ; Wireless networks</subject><ispartof>Wireless networks, 2017-10, Vol.23 (7), p.2281-2288</ispartof><rights>Springer Science+Business Media New York 2016</rights><rights>Wireless Networks is a copyright of Springer, 2017.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c316t-9c2b22a8bc4ba6a22d66ae13b6845501d5e175d7140b5843f2c8d98d37e9b9973</citedby><cites>FETCH-LOGICAL-c316t-9c2b22a8bc4ba6a22d66ae13b6845501d5e175d7140b5843f2c8d98d37e9b9973</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11276-016-1286-z$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11276-016-1286-z$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,778,782,27913,27914,41477,42546,51308</link.rule.ids></links><search><creatorcontrib>Mesleh, Raed</creatorcontrib><creatorcontrib>Badarneh, Osamah S.</creatorcontrib><creatorcontrib>Younis, Abdelhamid</creatorcontrib><creatorcontrib>Almehmadi, Fares S.</creatorcontrib><title>How significant is the assumption of the uniform channel phase distribution on the performance of spatial multiplexing MIMO system?</title><title>Wireless networks</title><addtitle>Wireless Netw</addtitle><description>Spatial multiplexing (SMX) multiple-input multiple-output (MIMO) systems are promising candidates to enhance the achievable throughput and the overall spectral efficiency in future wireless systems. Performance studies of these systems over different channel conditions assume simplified models for the channel phase distribution. This paper highlights the impact of the channel phase distribution assumption on the performance of SMX MIMO systems. The Nakagami-
m
and the
η
-
μ
fading channels are considered in this study. In existing literature, performance studies of SMX MIMO systems over Nakagami-
m
fading channel assume uniform phase distribution. Though, it has been reported recently that the Nakagami-
m
channel phase distribution is not uniform. In this article, we show that the assumption of the channel phase distribution has a major impact on the performance of SMX MIMO systems. The obtained results demonstrate that the performance of SMX MIMO systems significantly varies with different channel phase distributions. Furthermore, it is shown that uniform assumption of channel phase distribution is incorrect and leads to erroneous conclusions. 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Badarneh, Osamah S. ; Younis, Abdelhamid ; Almehmadi, Fares S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c316t-9c2b22a8bc4ba6a22d66ae13b6845501d5e175d7140b5843f2c8d98d37e9b9973</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Communications Engineering</topic><topic>Computer Communication Networks</topic><topic>Computer simulation</topic><topic>Dispersion</topic><topic>Electrical Engineering</topic><topic>Engineering</topic><topic>Fading</topic><topic>IT in Business</topic><topic>MIMO (control systems)</topic><topic>Monte Carlo simulation</topic><topic>Multiplexing</topic><topic>Networks</topic><topic>Phase distribution</topic><topic>Poultry</topic><topic>Wireless networks</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mesleh, Raed</creatorcontrib><creatorcontrib>Badarneh, Osamah S.</creatorcontrib><creatorcontrib>Younis, Abdelhamid</creatorcontrib><creatorcontrib>Almehmadi, Fares S.</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Business Premium Collection (Alumni)</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>ABI/INFORM Professional Advanced</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>ABI/INFORM Global</collection><collection>Science Database</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>ProQuest One Business</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><jtitle>Wireless networks</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mesleh, Raed</au><au>Badarneh, Osamah S.</au><au>Younis, Abdelhamid</au><au>Almehmadi, Fares S.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>How significant is the assumption of the uniform channel phase distribution on the performance of spatial multiplexing MIMO system?</atitle><jtitle>Wireless networks</jtitle><stitle>Wireless Netw</stitle><date>2017-10-01</date><risdate>2017</risdate><volume>23</volume><issue>7</issue><spage>2281</spage><epage>2288</epage><pages>2281-2288</pages><issn>1022-0038</issn><eissn>1572-8196</eissn><abstract>Spatial multiplexing (SMX) multiple-input multiple-output (MIMO) systems are promising candidates to enhance the achievable throughput and the overall spectral efficiency in future wireless systems. Performance studies of these systems over different channel conditions assume simplified models for the channel phase distribution. This paper highlights the impact of the channel phase distribution assumption on the performance of SMX MIMO systems. The Nakagami-
m
and the
η
-
μ
fading channels are considered in this study. In existing literature, performance studies of SMX MIMO systems over Nakagami-
m
fading channel assume uniform phase distribution. Though, it has been reported recently that the Nakagami-
m
channel phase distribution is not uniform. In this article, we show that the assumption of the channel phase distribution has a major impact on the performance of SMX MIMO systems. The obtained results demonstrate that the performance of SMX MIMO systems significantly varies with different channel phase distributions. Furthermore, it is shown that uniform assumption of channel phase distribution is incorrect and leads to erroneous conclusions. Detailed performance analysis for more accurate channel models are provided and results are sustained through Monte-Carlo simulations.</abstract><cop>New York</cop><pub>Springer US</pub><doi>10.1007/s11276-016-1286-z</doi><tpages>8</tpages></addata></record> |
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subjects | Communications Engineering Computer Communication Networks Computer simulation Dispersion Electrical Engineering Engineering Fading IT in Business MIMO (control systems) Monte Carlo simulation Multiplexing Networks Phase distribution Poultry Wireless networks |
title | How significant is the assumption of the uniform channel phase distribution on the performance of spatial multiplexing MIMO system? |
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