Optimal Transceiver Design for Interference Alignment Based Cognitive Radio Networks
Interference alignment (IA) can effectively eliminate the interference among users in cognitive radio (CR) networks. Nevertheless, to further increase the transmission rate of the primary user (PU) and guarantee its priority, we propose an optimal transceiver design (OTD) scheme for IA-based CR netw...
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| Veröffentlicht in: | IEEE communications letters 2015-08, Vol.19 (8), p.1442-1445 |
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| container_title | IEEE communications letters |
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| creator | Men, Hongzhi Zhao, Nan Jin, Minglu Kim, Jae Moung |
| description | Interference alignment (IA) can effectively eliminate the interference among users in cognitive radio (CR) networks. Nevertheless, to further increase the transmission rate of the primary user (PU) and guarantee its priority, we propose an optimal transceiver design (OTD) scheme for IA-based CR networks in this letter. In the OTD scheme, two partial-IA based algorithms are proposed to design the precoding matrices of SUs, in which the interference is aligned at the primary receiver with much lower overhead and complexity. Then the PU's precoding matrix is designed to maximize its throughput accordingly. To further improve the performance of SUs, their decoding matrices are re-designed. Simulation results are presented to show the effectiveness of the proposed scheme. |
| doi_str_mv | 10.1109/LCOMM.2015.2442243 |
| format | Article |
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Nevertheless, to further increase the transmission rate of the primary user (PU) and guarantee its priority, we propose an optimal transceiver design (OTD) scheme for IA-based CR networks in this letter. In the OTD scheme, two partial-IA based algorithms are proposed to design the precoding matrices of SUs, in which the interference is aligned at the primary receiver with much lower overhead and complexity. Then the PU's precoding matrix is designed to maximize its throughput accordingly. To further improve the performance of SUs, their decoding matrices are re-designed. Simulation results are presented to show the effectiveness of the proposed scheme.</description><identifier>ISSN: 1089-7798</identifier><identifier>EISSN: 1558-2558</identifier><identifier>DOI: 10.1109/LCOMM.2015.2442243</identifier><identifier>CODEN: ICLEF6</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Algorithm design and analysis ; Cognitive radio ; Covariance matrices ; Decoding ; Interference ; interference alignment ; quality of service ; Rayleigh quotient ; Receivers ; Signal to noise ratio ; spectrum sharing</subject><ispartof>IEEE communications letters, 2015-08, Vol.19 (8), p.1442-1445</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2015</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c295t-8d0a3af8b94d11eebe394bbdf6a89b09d12c7e68c6bbef321335e265ec26fb413</citedby><cites>FETCH-LOGICAL-c295t-8d0a3af8b94d11eebe394bbdf6a89b09d12c7e68c6bbef321335e265ec26fb413</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/7118669$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>315,781,785,797,27928,27929,54762</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/7118669$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Men, Hongzhi</creatorcontrib><creatorcontrib>Zhao, Nan</creatorcontrib><creatorcontrib>Jin, Minglu</creatorcontrib><creatorcontrib>Kim, Jae Moung</creatorcontrib><title>Optimal Transceiver Design for Interference Alignment Based Cognitive Radio Networks</title><title>IEEE communications letters</title><addtitle>COML</addtitle><description>Interference alignment (IA) can effectively eliminate the interference among users in cognitive radio (CR) networks. Nevertheless, to further increase the transmission rate of the primary user (PU) and guarantee its priority, we propose an optimal transceiver design (OTD) scheme for IA-based CR networks in this letter. In the OTD scheme, two partial-IA based algorithms are proposed to design the precoding matrices of SUs, in which the interference is aligned at the primary receiver with much lower overhead and complexity. Then the PU's precoding matrix is designed to maximize its throughput accordingly. To further improve the performance of SUs, their decoding matrices are re-designed. Simulation results are presented to show the effectiveness of the proposed scheme.</description><subject>Algorithm design and analysis</subject><subject>Cognitive radio</subject><subject>Covariance matrices</subject><subject>Decoding</subject><subject>Interference</subject><subject>interference alignment</subject><subject>quality of service</subject><subject>Rayleigh quotient</subject><subject>Receivers</subject><subject>Signal to noise ratio</subject><subject>spectrum sharing</subject><issn>1089-7798</issn><issn>1558-2558</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kE1PwzAMQCsEEmPwB-ASiXNHnKRtchzla9LGJDTOUdI6U8fWjqQD8e_J2MTFtiw_W35Jcg10BEDV3bScz2YjRiEbMSEYE_wkGUCWyZTFcBprKlVaFEqeJxchrCilkmUwSBbzbd9szJosvGlDhc0XevKAoVm2xHWeTNoevUOPbYVkvI7tDbY9uTcBa1J2y7bpI0LeTN105BX7785_hMvkzJl1wKtjHibvT4-L8iWdzp8n5XiaVkxlfSprarhx0ipRAyBa5EpYW7vcSGWpqoFVBeayyq1FxxlwniHLM6xY7qwAPkxuD3u3vvvcYej1qtv5Np7UUFDBqAIu4hQ7TFW-C8Gj01sfX_Y_Gqje29N_9vTenj7ai9DNAWoQ8R8oAGSeK_4Lr-1sew</recordid><startdate>201508</startdate><enddate>201508</enddate><creator>Men, Hongzhi</creator><creator>Zhao, Nan</creator><creator>Jin, Minglu</creator><creator>Kim, Jae Moung</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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| subjects | Algorithm design and analysis Cognitive radio Covariance matrices Decoding Interference interference alignment quality of service Rayleigh quotient Receivers Signal to noise ratio spectrum sharing |
| title | Optimal Transceiver Design for Interference Alignment Based Cognitive Radio Networks |
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