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Distributed Spatial Multiplexing Systems With Hardware Impairments and Imperfect Channel Estimation Under Rank-1 Rician Fading Channels
The performance of a multiuser communication system with single-antenna transmitting terminals and a multiantenna base-station receiver is analytically investigated. The system operates under independent and nonidentically distributed rank-1 Rician fading channels with imperfect channel estimation a...
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Published in: | IEEE transactions on vehicular technology 2017-06, Vol.66 (6), p.5122-5133 |
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container_title | IEEE transactions on vehicular technology |
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creator | Miridakis, Nikolaos I. Tsiftsis, Theodoros A. Rowell, Corbett |
description | The performance of a multiuser communication system with single-antenna transmitting terminals and a multiantenna base-station receiver is analytically investigated. The system operates under independent and nonidentically distributed rank-1 Rician fading channels with imperfect channel estimation and residual hardware impairments (compensation algorithms are assumed, which mitigate the main impairments) at the transceiver. The spatial multiplexing mode of operation is considered where all the users are simultaneously transmitting their streams to the receiver. Zero forcing is applied along with successive interference cancellation as a means for efficient detection of the received streams. New analytical closed-form expressions are derived for some important performance metrics, namely, the outage probability and ergodic capacity of the entire system. Both the analytical expressions and simulation results show the impact of imperfect channel estimation and hardware impairments to the overall system performance in the usage scenarios of massive multiple-input-multiple-output and millimeter-wave communication systems. |
doi_str_mv | 10.1109/TVT.2016.2624801 |
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The system operates under independent and nonidentically distributed rank-1 Rician fading channels with imperfect channel estimation and residual hardware impairments (compensation algorithms are assumed, which mitigate the main impairments) at the transceiver. The spatial multiplexing mode of operation is considered where all the users are simultaneously transmitting their streams to the receiver. Zero forcing is applied along with successive interference cancellation as a means for efficient detection of the received streams. New analytical closed-form expressions are derived for some important performance metrics, namely, the outage probability and ergodic capacity of the entire system. Both the analytical expressions and simulation results show the impact of imperfect channel estimation and hardware impairments to the overall system performance in the usage scenarios of massive multiple-input-multiple-output and millimeter-wave communication systems.</description><identifier>ISSN: 0018-9545</identifier><identifier>EISSN: 1939-9359</identifier><identifier>DOI: 10.1109/TVT.2016.2624801</identifier><identifier>CODEN: ITVTAB</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Channel estimation ; Channels ; Codes ; Communications systems ; Computer simulation ; Exact solutions ; Fading ; Hardware ; Hardware impairments ; imperfect channel estimation ; massive multiple-input–multiple-output (MIMO) ; Mathematical analysis ; Millimeter waves ; millimeter-wave (mmWave) communications ; Multiplexing ; Performance measurement ; Receivers ; Rician channels ; Rician fading ; spatial multiplexing ; Streams ; successive interference cancellation (SIC) ; Transceivers ; Transmission ; zero forcing (ZF)</subject><ispartof>IEEE transactions on vehicular technology, 2017-06, Vol.66 (6), p.5122-5133</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2017</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c291t-55acb516d9b0ab85cf3caeb6b104206637d9e264e44f04c4d2bfc2c6b21d184d3</citedby><cites>FETCH-LOGICAL-c291t-55acb516d9b0ab85cf3caeb6b104206637d9e264e44f04c4d2bfc2c6b21d184d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/7733140$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,27922,27923,54794</link.rule.ids></links><search><creatorcontrib>Miridakis, Nikolaos I.</creatorcontrib><creatorcontrib>Tsiftsis, Theodoros A.</creatorcontrib><creatorcontrib>Rowell, Corbett</creatorcontrib><title>Distributed Spatial Multiplexing Systems With Hardware Impairments and Imperfect Channel Estimation Under Rank-1 Rician Fading Channels</title><title>IEEE transactions on vehicular technology</title><addtitle>TVT</addtitle><description>The performance of a multiuser communication system with single-antenna transmitting terminals and a multiantenna base-station receiver is analytically investigated. The system operates under independent and nonidentically distributed rank-1 Rician fading channels with imperfect channel estimation and residual hardware impairments (compensation algorithms are assumed, which mitigate the main impairments) at the transceiver. The spatial multiplexing mode of operation is considered where all the users are simultaneously transmitting their streams to the receiver. Zero forcing is applied along with successive interference cancellation as a means for efficient detection of the received streams. New analytical closed-form expressions are derived for some important performance metrics, namely, the outage probability and ergodic capacity of the entire system. Both the analytical expressions and simulation results show the impact of imperfect channel estimation and hardware impairments to the overall system performance in the usage scenarios of massive multiple-input-multiple-output and millimeter-wave communication systems.</description><subject>Channel estimation</subject><subject>Channels</subject><subject>Codes</subject><subject>Communications systems</subject><subject>Computer simulation</subject><subject>Exact solutions</subject><subject>Fading</subject><subject>Hardware</subject><subject>Hardware impairments</subject><subject>imperfect channel estimation</subject><subject>massive multiple-input–multiple-output (MIMO)</subject><subject>Mathematical analysis</subject><subject>Millimeter waves</subject><subject>millimeter-wave (mmWave) communications</subject><subject>Multiplexing</subject><subject>Performance measurement</subject><subject>Receivers</subject><subject>Rician channels</subject><subject>Rician fading</subject><subject>spatial multiplexing</subject><subject>Streams</subject><subject>successive interference cancellation (SIC)</subject><subject>Transceivers</subject><subject>Transmission</subject><subject>zero forcing (ZF)</subject><issn>0018-9545</issn><issn>1939-9359</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><recordid>eNo9kE1LAzEQhoMoWKt3wUvA89ZMkt1ujlI_QRFq1eOSTWZtdJuuSYr2F_i33dLiaRh43neYh5BTYCMApi5mr7MRZ1CMeMFlyWCPDEAJlSmRq30yYAzKTOUyPyRHMX70q5QKBuT3ysUUXL1KaOlzp5PTLX1ctcl1Lf44_06f1zHhItI3l-b0Tgf7rQPS-0WnXVigT5Fqbzc7hgZNopO59h5beh2TW_R9S09fvMVAp9p_ZkCnzjjt6Y22m_YdHY_JQaPbiCe7OSQvN9ezyV328HR7P7l8yAxXkLI816bOobCqZrouc9MIo7EuamCSs6IQY6uQFxKlbJg00vK6MdwUNQcLpbRiSM63vV1Yfq0wpupjuQq-P1lxGEvJSiZUT7EtZcIyxoBN1YX-mbCugFUb3VWvu9rorna6-8jZNuIQ8R8fj4UAycQf2R19pA</recordid><startdate>20170601</startdate><enddate>20170601</enddate><creator>Miridakis, Nikolaos I.</creator><creator>Tsiftsis, Theodoros A.</creator><creator>Rowell, Corbett</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>8FD</scope><scope>FR3</scope><scope>KR7</scope><scope>L7M</scope></search><sort><creationdate>20170601</creationdate><title>Distributed Spatial Multiplexing Systems With Hardware Impairments and Imperfect Channel Estimation Under Rank-1 Rician Fading Channels</title><author>Miridakis, Nikolaos I. ; Tsiftsis, Theodoros A. ; Rowell, Corbett</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c291t-55acb516d9b0ab85cf3caeb6b104206637d9e264e44f04c4d2bfc2c6b21d184d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Channel estimation</topic><topic>Channels</topic><topic>Codes</topic><topic>Communications systems</topic><topic>Computer simulation</topic><topic>Exact solutions</topic><topic>Fading</topic><topic>Hardware</topic><topic>Hardware impairments</topic><topic>imperfect channel estimation</topic><topic>massive multiple-input–multiple-output (MIMO)</topic><topic>Mathematical analysis</topic><topic>Millimeter waves</topic><topic>millimeter-wave (mmWave) communications</topic><topic>Multiplexing</topic><topic>Performance measurement</topic><topic>Receivers</topic><topic>Rician channels</topic><topic>Rician fading</topic><topic>spatial multiplexing</topic><topic>Streams</topic><topic>successive interference cancellation (SIC)</topic><topic>Transceivers</topic><topic>Transmission</topic><topic>zero forcing (ZF)</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Miridakis, Nikolaos I.</creatorcontrib><creatorcontrib>Tsiftsis, Theodoros A.</creatorcontrib><creatorcontrib>Rowell, Corbett</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Explore</collection><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>IEEE transactions on vehicular technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Miridakis, Nikolaos I.</au><au>Tsiftsis, Theodoros A.</au><au>Rowell, Corbett</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Distributed Spatial Multiplexing Systems With Hardware Impairments and Imperfect Channel Estimation Under Rank-1 Rician Fading Channels</atitle><jtitle>IEEE transactions on vehicular technology</jtitle><stitle>TVT</stitle><date>2017-06-01</date><risdate>2017</risdate><volume>66</volume><issue>6</issue><spage>5122</spage><epage>5133</epage><pages>5122-5133</pages><issn>0018-9545</issn><eissn>1939-9359</eissn><coden>ITVTAB</coden><abstract>The performance of a multiuser communication system with single-antenna transmitting terminals and a multiantenna base-station receiver is analytically investigated. The system operates under independent and nonidentically distributed rank-1 Rician fading channels with imperfect channel estimation and residual hardware impairments (compensation algorithms are assumed, which mitigate the main impairments) at the transceiver. The spatial multiplexing mode of operation is considered where all the users are simultaneously transmitting their streams to the receiver. Zero forcing is applied along with successive interference cancellation as a means for efficient detection of the received streams. New analytical closed-form expressions are derived for some important performance metrics, namely, the outage probability and ergodic capacity of the entire system. Both the analytical expressions and simulation results show the impact of imperfect channel estimation and hardware impairments to the overall system performance in the usage scenarios of massive multiple-input-multiple-output and millimeter-wave communication systems.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TVT.2016.2624801</doi><tpages>12</tpages></addata></record> |
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subjects | Channel estimation Channels Codes Communications systems Computer simulation Exact solutions Fading Hardware Hardware impairments imperfect channel estimation massive multiple-input–multiple-output (MIMO) Mathematical analysis Millimeter waves millimeter-wave (mmWave) communications Multiplexing Performance measurement Receivers Rician channels Rician fading spatial multiplexing Streams successive interference cancellation (SIC) Transceivers Transmission zero forcing (ZF) |
title | Distributed Spatial Multiplexing Systems With Hardware Impairments and Imperfect Channel Estimation Under Rank-1 Rician Fading Channels |
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