Channel Bi-Diagonalization for MIMO Communications
This letter proposes a multi-input multi-output (MIMO) transceiver design termed channel bi-diagonalization (CBD), whose precoder and equalizer bi-diagonalize the channel matrix. By representing the bidiagonal MIMO channel with a trellis diagram, we can apply the Viterbi algorithm for the maximum li...
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| Veröffentlicht in: | IEEE wireless communications letters 2023-01, Vol.12 (1), p.163-167 |
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| container_title | IEEE wireless communications letters |
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| creator | Yang, Jie Hu, Wanchen Jiang, Yi |
| description | This letter proposes a multi-input multi-output (MIMO) transceiver design termed channel bi-diagonalization (CBD), whose precoder and equalizer bi-diagonalize the channel matrix. By representing the bidiagonal MIMO channel with a trellis diagram, we can apply the Viterbi algorithm for the maximum likelihood (ML) detection and decoding, or the BCJR algorithm for the maximum a posteriori (MAP) detection and decoding, which drastically simplifies the optimal MIMO communications. Simulation results verify the superior performance of the proposed CBD scheme. |
| doi_str_mv | 10.1109/LWC.2022.3219822 |
| format | Article |
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Simulation results verify the superior performance of the proposed CBD scheme.</description><identifier>ISSN: 2162-2337</identifier><identifier>EISSN: 2162-2345</identifier><identifier>DOI: 10.1109/LWC.2022.3219822</identifier><identifier>CODEN: IWCLAF</identifier><language>eng</language><publisher>Piscataway: IEEE</publisher><subject>Algorithms ; BCJR algorithm ; Massive MIMO ; Matrix decomposition ; Maximum likelihood decoding ; MIMO communication ; MIMO transceiver design ; Receivers ; Transceivers ; Transmitters ; Viterbi algorithm ; Viterbi algorithm detectors</subject><ispartof>IEEE wireless communications letters, 2023-01, Vol.12 (1), p.163-167</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2023</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c174t-a01f0123661de7578d8551fabd7f1bbe9a1606171f6a2fcb0c89f3674bec58a43</cites><orcidid>0000-0002-6490-0345 ; 0000-0002-6618-5437 ; 0000-0001-5446-8483</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/9940474$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>315,781,785,797,27929,27930,54763</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/9940474$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Yang, Jie</creatorcontrib><creatorcontrib>Hu, Wanchen</creatorcontrib><creatorcontrib>Jiang, Yi</creatorcontrib><title>Channel Bi-Diagonalization for MIMO Communications</title><title>IEEE wireless communications letters</title><addtitle>LWC</addtitle><description>This letter proposes a multi-input multi-output (MIMO) transceiver design termed channel bi-diagonalization (CBD), whose precoder and equalizer bi-diagonalize the channel matrix. 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Simulation results verify the superior performance of the proposed CBD scheme.</description><subject>Algorithms</subject><subject>BCJR algorithm</subject><subject>Massive MIMO</subject><subject>Matrix decomposition</subject><subject>Maximum likelihood decoding</subject><subject>MIMO communication</subject><subject>MIMO transceiver design</subject><subject>Receivers</subject><subject>Transceivers</subject><subject>Transmitters</subject><subject>Viterbi algorithm</subject><subject>Viterbi algorithm detectors</subject><issn>2162-2337</issn><issn>2162-2345</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kM1PwzAMxSMEEtPYHYlLJc4dsZMm7RHK16ROu4A4RmmXQKatGUl7gL-ejk7zxZb1np_1I-Qa6ByAFnfVRzlHijhnCEWOeEYmCAJTZDw7P81MXpJZjBs6lKCAkE8Ill-6bc02eXDpo9OfvtVb96s759vE-pAsF8tVUvrdrm9d87-OV-TC6m00s2Ofkvfnp7fyNa1WL4vyvkobkLxLNQU7hDAhYG1kJvN1nmVgdb2WFuraFBoEFSDBCo22qWmTF5YJyWvTZLnmbEpux7v74L97Ezu18X0Y_osKpQAmgUs2qOioaoKPMRir9sHtdPhRQNUBjhrgqAMcdYQzWG5GizPGnORFwSmXnP0BnD5d8Q</recordid><startdate>202301</startdate><enddate>202301</enddate><creator>Yang, Jie</creator><creator>Hu, Wanchen</creator><creator>Jiang, Yi</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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| issn | 2162-2337 2162-2345 |
| language | eng |
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| source | IEEE Electronic Library (IEL) |
| subjects | Algorithms BCJR algorithm Massive MIMO Matrix decomposition Maximum likelihood decoding MIMO communication MIMO transceiver design Receivers Transceivers Transmitters Viterbi algorithm Viterbi algorithm detectors |
| title | Channel Bi-Diagonalization for MIMO Communications |
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