Joint Optimization of Source and Relay for MIMO Two-Way Relay Networks Using MSE Duality
In this letter, the joint optimization of a source-relay pair is proposed for multiple-input multiple-output (MIMO) two-way relay networks. In these networks, since the joint beamformer design problem based on the minimum mean square error (MMSE) is known to be non-convex, it cannot be solved analyt...
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| Veröffentlicht in: | IEEE communications letters 2014-07, Vol.18 (7), p.1246-1249 |
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| container_title | IEEE communications letters |
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| creator | CHOI, Won-Chul SEUNGWON CHOI AYOUNG HEO PARK, Dong-Jo |
| description | In this letter, the joint optimization of a source-relay pair is proposed for multiple-input multiple-output (MIMO) two-way relay networks. In these networks, since the joint beamformer design problem based on the minimum mean square error (MMSE) is known to be non-convex, it cannot be solved analytically. In order to solve the problem, a novel iterative algorithm is proposed that uses duality relationships. First, the MSE duality for MIMO two-way relay networks is presented; then, this duality is applied to the proposed optimization method, which provides closed-form solutions for all subproblems. Because the proposed algorithm does not involve convex optimization software packages, it efficiently reduces the computational complexity. The numerical results demonstrate that the proposed method improves the MSE performance compared with the conventional method. |
| doi_str_mv | 10.1109/LCOMM.2014.2327624 |
| format | Article |
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In these networks, since the joint beamformer design problem based on the minimum mean square error (MMSE) is known to be non-convex, it cannot be solved analytically. In order to solve the problem, a novel iterative algorithm is proposed that uses duality relationships. First, the MSE duality for MIMO two-way relay networks is presented; then, this duality is applied to the proposed optimization method, which provides closed-form solutions for all subproblems. Because the proposed algorithm does not involve convex optimization software packages, it efficiently reduces the computational complexity. The numerical results demonstrate that the proposed method improves the MSE performance compared with the conventional method.</description><identifier>ISSN: 1089-7798</identifier><identifier>EISSN: 1558-2558</identifier><identifier>DOI: 10.1109/LCOMM.2014.2327624</identifier><identifier>CODEN: ICLEF6</identifier><language>eng</language><publisher>New York, NY: IEEE</publisher><subject>Access methods and protocols, osi model ; Applied sciences ; Detection, estimation, filtering, equalization, prediction ; Exact sciences and technology ; Information, signal and communications theory ; Joints ; MIMO ; Optimization ; Signal and communications theory ; Signal, noise ; Silicon ; Systems, networks and services of telecommunications ; Telecommunications ; Telecommunications and information theory ; Teleprocessing networks. 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In these networks, since the joint beamformer design problem based on the minimum mean square error (MMSE) is known to be non-convex, it cannot be solved analytically. In order to solve the problem, a novel iterative algorithm is proposed that uses duality relationships. First, the MSE duality for MIMO two-way relay networks is presented; then, this duality is applied to the proposed optimization method, which provides closed-form solutions for all subproblems. Because the proposed algorithm does not involve convex optimization software packages, it efficiently reduces the computational complexity. The numerical results demonstrate that the proposed method improves the MSE performance compared with the conventional method.</description><subject>Access methods and protocols, osi model</subject><subject>Applied sciences</subject><subject>Detection, estimation, filtering, equalization, prediction</subject><subject>Exact sciences and technology</subject><subject>Information, signal and communications theory</subject><subject>Joints</subject><subject>MIMO</subject><subject>Optimization</subject><subject>Signal and communications theory</subject><subject>Signal, noise</subject><subject>Silicon</subject><subject>Systems, networks and services of telecommunications</subject><subject>Telecommunications</subject><subject>Telecommunications and information theory</subject><subject>Teleprocessing networks. Isdn</subject><subject>Transceivers</subject><subject>Transmission and modulation (techniques and equipments)</subject><issn>1089-7798</issn><issn>1558-2558</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9UE1PAjEQ3RhNRPQP6KWJ8bjYj223PRpExbBuIhC9bUqZNcVli-0Sgr_eRQiXmcmb995MXhRdE9wjBKv7UT_Psh7FJOlRRlNBk5OoQziXMW3LaTtjqeI0VfI8ughhgTGWlJNO9PnqbN2gfNXYpf3VjXU1ciUau7U3gHQ9R-9Q6S0qnUfZMMvRZOPijxbYw2_QbJz_DmgabP2FsvEAPa51ZZvtZXRW6irA1aF3o-nTYNJ_iUf587D_MIoNo7yJDQEgwCkAFQSDYVIqTaQ0ms9moqTMSCkJ1lQxgUEQoTkIlqo5ZzA3lLBudLv3XXn3s4bQFIv297o9WRCeKJ4wjncsumcZ70LwUBYrb5fabwuCi12CxX-CxS7B4pBgK7o7WOtgdFV6XRsbjkoqhSJKyZZ3s-dZADiuhaRMMMb-AFx5eBY</recordid><startdate>20140701</startdate><enddate>20140701</enddate><creator>CHOI, Won-Chul</creator><creator>SEUNGWON CHOI</creator><creator>AYOUNG HEO</creator><creator>PARK, Dong-Jo</creator><general>IEEE</general><general>Institute of Electrical and Electronics Engineers</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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Isdn</topic><topic>Transceivers</topic><topic>Transmission and modulation (techniques and equipments)</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>CHOI, Won-Chul</creatorcontrib><creatorcontrib>SEUNGWON CHOI</creatorcontrib><creatorcontrib>AYOUNG HEO</creatorcontrib><creatorcontrib>PARK, Dong-Jo</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Xplore</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>IEEE communications letters</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>CHOI, Won-Chul</au><au>SEUNGWON CHOI</au><au>AYOUNG HEO</au><au>PARK, Dong-Jo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Joint Optimization of Source and Relay for MIMO Two-Way Relay Networks Using MSE Duality</atitle><jtitle>IEEE communications letters</jtitle><stitle>COML</stitle><date>2014-07-01</date><risdate>2014</risdate><volume>18</volume><issue>7</issue><spage>1246</spage><epage>1249</epage><pages>1246-1249</pages><issn>1089-7798</issn><eissn>1558-2558</eissn><coden>ICLEF6</coden><abstract>In this letter, the joint optimization of a source-relay pair is proposed for multiple-input multiple-output (MIMO) two-way relay networks. In these networks, since the joint beamformer design problem based on the minimum mean square error (MMSE) is known to be non-convex, it cannot be solved analytically. In order to solve the problem, a novel iterative algorithm is proposed that uses duality relationships. First, the MSE duality for MIMO two-way relay networks is presented; then, this duality is applied to the proposed optimization method, which provides closed-form solutions for all subproblems. Because the proposed algorithm does not involve convex optimization software packages, it efficiently reduces the computational complexity. The numerical results demonstrate that the proposed method improves the MSE performance compared with the conventional method.</abstract><cop>New York, NY</cop><pub>IEEE</pub><doi>10.1109/LCOMM.2014.2327624</doi><tpages>4</tpages></addata></record> |
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| ispartof | IEEE communications letters, 2014-07, Vol.18 (7), p.1246-1249 |
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| subjects | Access methods and protocols, osi model Applied sciences Detection, estimation, filtering, equalization, prediction Exact sciences and technology Information, signal and communications theory Joints MIMO Optimization Signal and communications theory Signal, noise Silicon Systems, networks and services of telecommunications Telecommunications Telecommunications and information theory Teleprocessing networks. Isdn Transceivers Transmission and modulation (techniques and equipments) |
| title | Joint Optimization of Source and Relay for MIMO Two-Way Relay Networks Using MSE Duality |
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