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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Wireless networks 2017-10, Vol.23 (7), p.2281-2288
Hauptverfasser: Mesleh, Raed, Badarneh, Osamah S., Younis, Abdelhamid, Almehmadi, Fares S.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 2288
container_issue 7
container_start_page 2281
container_title Wireless networks
container_volume 23
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
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_1939198423</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1939198423</sourcerecordid><originalsourceid>FETCH-LOGICAL-c316t-9c2b22a8bc4ba6a22d66ae13b6845501d5e175d7140b5843f2c8d98d37e9b9973</originalsourceid><addsrcrecordid>eNp1kE1LxDAQhosoqKs_wFvAczWTtGlyEhG_wGUveg5pm-5G2rRmUnS9-sftWg9ePM0wPO878CTJGdALoLS4RABWiJSCSIFJkX7uJUeQFyyVoMT-tFPGUkq5PEyOEV8ppZIrdZR8PfTvBN3au8ZVxkfikMSNJQZx7Iboek_65ucyTkgfOlJtjPe2JcPGoCW1wxhcOc6k_yEHG3ak8ZXdhXEw0ZmWdGMb3dDaD-fXZPm4XBHcYrTd1Uly0JgW7envXCQvd7fPNw_p0-r-8eb6Ka04iJiqipWMGVlWWWmEYawWwljgpZBZnlOocwtFXheQ0TKXGW9YJWsla15YVSpV8EVyPvcOoX8bLUb92o_BTy81KK5AyYzxiYKZqkKPGGyjh-A6E7YaqN651rNrPbnWO9f6c8qwOYMT69c2_Gn-N_QNdHqERw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1939198423</pqid></control><display><type>article</type><title>How significant is the assumption of the uniform channel phase distribution on the performance of spatial multiplexing MIMO system?</title><source>Springer Nature - Complete Springer Journals</source><creator>Mesleh, Raed ; Badarneh, Osamah S. ; Younis, Abdelhamid ; Almehmadi, Fares S.</creator><creatorcontrib>Mesleh, Raed ; Badarneh, Osamah S. ; Younis, Abdelhamid ; Almehmadi, Fares S.</creatorcontrib><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.</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. Detailed performance analysis for more accurate channel models are provided and results are sustained through Monte-Carlo simulations.</description><subject>Communications Engineering</subject><subject>Computer Communication Networks</subject><subject>Computer simulation</subject><subject>Dispersion</subject><subject>Electrical Engineering</subject><subject>Engineering</subject><subject>Fading</subject><subject>IT in Business</subject><subject>MIMO (control systems)</subject><subject>Monte Carlo simulation</subject><subject>Multiplexing</subject><subject>Networks</subject><subject>Phase distribution</subject><subject>Poultry</subject><subject>Wireless networks</subject><issn>1022-0038</issn><issn>1572-8196</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp1kE1LxDAQhosoqKs_wFvAczWTtGlyEhG_wGUveg5pm-5G2rRmUnS9-sftWg9ePM0wPO878CTJGdALoLS4RABWiJSCSIFJkX7uJUeQFyyVoMT-tFPGUkq5PEyOEV8ppZIrdZR8PfTvBN3au8ZVxkfikMSNJQZx7Iboek_65ucyTkgfOlJtjPe2JcPGoCW1wxhcOc6k_yEHG3ak8ZXdhXEw0ZmWdGMb3dDaD-fXZPm4XBHcYrTd1Uly0JgW7envXCQvd7fPNw_p0-r-8eb6Ka04iJiqipWMGVlWWWmEYawWwljgpZBZnlOocwtFXheQ0TKXGW9YJWsla15YVSpV8EVyPvcOoX8bLUb92o_BTy81KK5AyYzxiYKZqkKPGGyjh-A6E7YaqN651rNrPbnWO9f6c8qwOYMT69c2_Gn-N_QNdHqERw</recordid><startdate>20171001</startdate><enddate>20171001</enddate><creator>Mesleh, Raed</creator><creator>Badarneh, Osamah S.</creator><creator>Younis, Abdelhamid</creator><creator>Almehmadi, Fares S.</creator><general>Springer US</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7SC</scope><scope>7SP</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>87Z</scope><scope>88I</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>8FL</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FRNLG</scope><scope>F~G</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K60</scope><scope>K6~</scope><scope>L.-</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>M0C</scope><scope>M2P</scope><scope>P5Z</scope><scope>P62</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope></search><sort><creationdate>20171001</creationdate><title>How significant is the assumption of the uniform channel phase distribution on the performance of spatial multiplexing MIMO system?</title><author>Mesleh, Raed ; 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 &amp; 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 &amp; 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 &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; 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>
fulltext fulltext
identifier ISSN: 1022-0038
ispartof Wireless networks, 2017-10, Vol.23 (7), p.2281-2288
issn 1022-0038
1572-8196
language eng
recordid cdi_proquest_journals_1939198423
source Springer Nature - Complete Springer Journals
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?
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-15T09%3A54%3A26IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=How%20significant%20is%20the%20assumption%20of%20the%20uniform%20channel%20phase%20distribution%20on%20the%20performance%20of%20spatial%20multiplexing%20MIMO%20system?&rft.jtitle=Wireless%20networks&rft.au=Mesleh,%20Raed&rft.date=2017-10-01&rft.volume=23&rft.issue=7&rft.spage=2281&rft.epage=2288&rft.pages=2281-2288&rft.issn=1022-0038&rft.eissn=1572-8196&rft_id=info:doi/10.1007/s11276-016-1286-z&rft_dat=%3Cproquest_cross%3E1939198423%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1939198423&rft_id=info:pmid/&rfr_iscdi=true