Precoder Design for Multiuser MIMO ISI Channels Based on Iterative LMMSE Detection
Precoding has been widely investigated for multiple-input multiple-output (MIMO) and inter-symbol interference (ISI) channels. Most related work so far has been on uncoded systems and the impact of forward-error-correction (FEC) codes has not been well studied. In this paper, we present an optimized...
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| Veröffentlicht in: | IEEE journal of selected topics in signal processing 2009-12, Vol.3 (6), p.1118-1128 |
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| creator | Yuan, Xiaojun Xu, Chongbin Ping, Li Lin, Xiaokang |
| description | Precoding has been widely investigated for multiple-input multiple-output (MIMO) and inter-symbol interference (ISI) channels. Most related work so far has been on uncoded systems and the impact of forward-error-correction (FEC) codes has not been well studied. In this paper, we present an optimized precoding technique that takes into account iterative joint LMMSE detection and FEC decoding. The proposed scheme has some interesting features. First, the design problem is convex. Second, the proposed scheme achieves water-filling gain when channel state information at the transmitter (CSIT) is available and diversity gain when CSIT is not available, as well as multi-user gain in multi-user environments. Third, the water-filling gain is achieved using a single code (instead of multiple codes as in conventional approaches), which greatly simplifies the design and implementation problems. Both simulation and evolution analyses are provided to show that significant performance improvement can be achieved with the proposed scheme. |
| doi_str_mv | 10.1109/JSTSP.2009.2035859 |
| format | Article |
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Most related work so far has been on uncoded systems and the impact of forward-error-correction (FEC) codes has not been well studied. In this paper, we present an optimized precoding technique that takes into account iterative joint LMMSE detection and FEC decoding. The proposed scheme has some interesting features. First, the design problem is convex. Second, the proposed scheme achieves water-filling gain when channel state information at the transmitter (CSIT) is available and diversity gain when CSIT is not available, as well as multi-user gain in multi-user environments. Third, the water-filling gain is achieved using a single code (instead of multiple codes as in conventional approaches), which greatly simplifies the design and implementation problems. Both simulation and evolution analyses are provided to show that significant performance improvement can be achieved with the proposed scheme.</description><identifier>ISSN: 1932-4553</identifier><identifier>EISSN: 1941-0484</identifier><identifier>DOI: 10.1109/JSTSP.2009.2035859</identifier><identifier>CODEN: IJSTGY</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Channel state information ; Channels ; Decoding ; Design engineering ; Diversity methods ; Evolution ; Feedback ; Gain ; Intersymbol interference ; Iterative decoding ; Iterative linear minimum-mean-square-error (LMMSE) detection ; MIMO ; multiple-input multiple-output (MIMO) inter-symbol interference (ISI) multiple-access channel ; OFDM ; precoder ; Signal design ; Signal processing ; Signal to noise ratio ; Simulation ; Transmitters</subject><ispartof>IEEE journal of selected topics in signal processing, 2009-12, Vol.3 (6), p.1118-1128</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Dec 2009</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c358t-9092aa49d65f21e98f81a480ebcd4ef87a8b7f4154a9de6e68ba2a55561a5e413</citedby><cites>FETCH-LOGICAL-c358t-9092aa49d65f21e98f81a480ebcd4ef87a8b7f4154a9de6e68ba2a55561a5e413</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/5370659$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,776,780,792,27901,27902,54733</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5370659$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Yuan, Xiaojun</creatorcontrib><creatorcontrib>Xu, Chongbin</creatorcontrib><creatorcontrib>Ping, Li</creatorcontrib><creatorcontrib>Lin, Xiaokang</creatorcontrib><title>Precoder Design for Multiuser MIMO ISI Channels Based on Iterative LMMSE Detection</title><title>IEEE journal of selected topics in signal processing</title><addtitle>JSTSP</addtitle><description>Precoding has been widely investigated for multiple-input multiple-output (MIMO) and inter-symbol interference (ISI) channels. Most related work so far has been on uncoded systems and the impact of forward-error-correction (FEC) codes has not been well studied. In this paper, we present an optimized precoding technique that takes into account iterative joint LMMSE detection and FEC decoding. The proposed scheme has some interesting features. First, the design problem is convex. Second, the proposed scheme achieves water-filling gain when channel state information at the transmitter (CSIT) is available and diversity gain when CSIT is not available, as well as multi-user gain in multi-user environments. Third, the water-filling gain is achieved using a single code (instead of multiple codes as in conventional approaches), which greatly simplifies the design and implementation problems. Both simulation and evolution analyses are provided to show that significant performance improvement can be achieved with the proposed scheme.</description><subject>Channel state information</subject><subject>Channels</subject><subject>Decoding</subject><subject>Design engineering</subject><subject>Diversity methods</subject><subject>Evolution</subject><subject>Feedback</subject><subject>Gain</subject><subject>Intersymbol interference</subject><subject>Iterative decoding</subject><subject>Iterative linear minimum-mean-square-error (LMMSE) detection</subject><subject>MIMO</subject><subject>multiple-input multiple-output (MIMO) inter-symbol interference (ISI) multiple-access channel</subject><subject>OFDM</subject><subject>precoder</subject><subject>Signal design</subject><subject>Signal processing</subject><subject>Signal to noise ratio</subject><subject>Simulation</subject><subject>Transmitters</subject><issn>1932-4553</issn><issn>1941-0484</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNqFkcFOwzAMhiMEEmPwAnCJuHDqSNokTY4wBhSt2sTGOcpaFzp1DSQtEm9PxiYOXLjYlv39lq0foXNKRpQSdf20WC7mo5gQFULCJVcHaEAVoxFhkh1u6ySOGOfJMTrxfk0ITwVlA_Q8d1DYEhy-A1-_triyDud909W9D808y2c4W2R4_GbaFhqPb42HEtsWZx0409WfgKd5vpgEfQdFV9v2FB1VpvFwts9D9HI_WY4fo-nsIRvfTKMiHNhFiqjYGKZKwauYgpKVpIZJAquiZFDJ1MhVWjHKmVElCBByZWLDORfUcGA0GaKr3d53Zz968J3e1L6ApjEt2N5rmXISU0Lk_ySVMuGciEBe_iHXtndteENLLhhNU0ECFO-gwlnvHVT63dUb4740JXprh_6xQ2_t0Hs7guhiJ6oB4FfAk5SIMP0GCxOEVQ</recordid><startdate>20091201</startdate><enddate>20091201</enddate><creator>Yuan, Xiaojun</creator><creator>Xu, Chongbin</creator><creator>Ping, Li</creator><creator>Lin, Xiaokang</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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Most related work so far has been on uncoded systems and the impact of forward-error-correction (FEC) codes has not been well studied. In this paper, we present an optimized precoding technique that takes into account iterative joint LMMSE detection and FEC decoding. The proposed scheme has some interesting features. First, the design problem is convex. Second, the proposed scheme achieves water-filling gain when channel state information at the transmitter (CSIT) is available and diversity gain when CSIT is not available, as well as multi-user gain in multi-user environments. Third, the water-filling gain is achieved using a single code (instead of multiple codes as in conventional approaches), which greatly simplifies the design and implementation problems. 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| subjects | Channel state information Channels Decoding Design engineering Diversity methods Evolution Feedback Gain Intersymbol interference Iterative decoding Iterative linear minimum-mean-square-error (LMMSE) detection MIMO multiple-input multiple-output (MIMO) inter-symbol interference (ISI) multiple-access channel OFDM precoder Signal design Signal processing Signal to noise ratio Simulation Transmitters |
| title | Precoder Design for Multiuser MIMO ISI Channels Based on Iterative LMMSE Detection |
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