Robust Power Allocation Designs for Multiuser and Multiantenna Downlink Communication Systems through Convex Optimization
In this paper, we study the design of the transmitter in the downlink of a multiuser and multiantenna wireless communications system, considering the realistic scenario where only an imperfect estimate of the actual channel is available at both communication ends. Precisely, the actual channel is as...
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Veröffentlicht in: | IEEE journal on selected areas in communications 2007-09, Vol.25 (7), p.1390-1401 |
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description | In this paper, we study the design of the transmitter in the downlink of a multiuser and multiantenna wireless communications system, considering the realistic scenario where only an imperfect estimate of the actual channel is available at both communication ends. Precisely, the actual channel is assumed to be inside an uncertainty region around the channel estimate, which models the imperfections of the channel knowledge that may arise from, e.g., estimation Gaussian errors, quantization effects, or combinations of both sources of errors. In this context, our objective is to design a robust power allocation among the information symbols that are to be sent to the users such that the total transmitted power is minimized, while maintaining the necessary quality of service to obtain reliable communication links between the base station and the users for any possible realization of the actual channel inside the uncertainty region. This robust power allocation is obtained as the solution to a convex optimization problem, which, in general, can be numerically solved in a very efficient way, and even for a particular case of the uncertainty region, a quasi-closed form solution can be found. Finally, the goodness of the robust proposed transmission scheme is presented through numerical results. Robust designs, imperfect CSI, multiantenna systems, broadcast channel, convex optimization. |
doi_str_mv | 10.1109/JSAC.2007.070912 |
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Precisely, the actual channel is assumed to be inside an uncertainty region around the channel estimate, which models the imperfections of the channel knowledge that may arise from, e.g., estimation Gaussian errors, quantization effects, or combinations of both sources of errors. In this context, our objective is to design a robust power allocation among the information symbols that are to be sent to the users such that the total transmitted power is minimized, while maintaining the necessary quality of service to obtain reliable communication links between the base station and the users for any possible realization of the actual channel inside the uncertainty region. This robust power allocation is obtained as the solution to a convex optimization problem, which, in general, can be numerically solved in a very efficient way, and even for a particular case of the uncertainty region, a quasi-closed form solution can be found. Finally, the goodness of the robust proposed transmission scheme is presented through numerical results. Robust designs, imperfect CSI, multiantenna systems, broadcast channel, convex optimization.</description><identifier>ISSN: 0733-8716</identifier><identifier>EISSN: 1558-0008</identifier><identifier>DOI: 10.1109/JSAC.2007.070912</identifier><identifier>CODEN: ISACEM</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Allocations ; Channels ; Communication ; Communication systems ; Context-aware services ; Convex analysis ; Design engineering ; Design optimization ; Downlink ; Estimates ; Estimation error ; Mathematical models ; Optimization ; Power system modeling ; Quantization ; Robustness ; Studies ; Transmitters ; Uncertainty ; Wireless communication ; Wireless communications</subject><ispartof>IEEE journal on selected areas in communications, 2007-09, Vol.25 (7), p.1390-1401</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2007</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c353t-3c37753523cfce935d37e8c5ab086bf634c9ab2c9826f9dcadf6a75a01da8b323</citedby><cites>FETCH-LOGICAL-c353t-3c37753523cfce935d37e8c5ab086bf634c9ab2c9826f9dcadf6a75a01da8b323</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/4299609$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>315,781,785,797,27929,27930,54763</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/4299609$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Payaro, M.</creatorcontrib><creatorcontrib>Pascual-Iserte, A.</creatorcontrib><creatorcontrib>Lagunas, M.A.</creatorcontrib><title>Robust Power Allocation Designs for Multiuser and Multiantenna Downlink Communication Systems through Convex Optimization</title><title>IEEE journal on selected areas in communications</title><addtitle>J-SAC</addtitle><description>In this paper, we study the design of the transmitter in the downlink of a multiuser and multiantenna wireless communications system, considering the realistic scenario where only an imperfect estimate of the actual channel is available at both communication ends. Precisely, the actual channel is assumed to be inside an uncertainty region around the channel estimate, which models the imperfections of the channel knowledge that may arise from, e.g., estimation Gaussian errors, quantization effects, or combinations of both sources of errors. In this context, our objective is to design a robust power allocation among the information symbols that are to be sent to the users such that the total transmitted power is minimized, while maintaining the necessary quality of service to obtain reliable communication links between the base station and the users for any possible realization of the actual channel inside the uncertainty region. This robust power allocation is obtained as the solution to a convex optimization problem, which, in general, can be numerically solved in a very efficient way, and even for a particular case of the uncertainty region, a quasi-closed form solution can be found. Finally, the goodness of the robust proposed transmission scheme is presented through numerical results. Robust designs, imperfect CSI, multiantenna systems, broadcast channel, convex optimization.</description><subject>Allocations</subject><subject>Channels</subject><subject>Communication</subject><subject>Communication systems</subject><subject>Context-aware services</subject><subject>Convex analysis</subject><subject>Design engineering</subject><subject>Design optimization</subject><subject>Downlink</subject><subject>Estimates</subject><subject>Estimation error</subject><subject>Mathematical models</subject><subject>Optimization</subject><subject>Power system modeling</subject><subject>Quantization</subject><subject>Robustness</subject><subject>Studies</subject><subject>Transmitters</subject><subject>Uncertainty</subject><subject>Wireless communication</subject><subject>Wireless communications</subject><issn>0733-8716</issn><issn>1558-0008</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2007</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNp90U1v1DAQBmALgcRSuCNxsTjAKdtxHH8dV1sKVK2KKJwtx3Fal8RebId2--vJkooDB07WyM870uhF6DWBNSGgjs-uNtt1DSDWIECR-glaEcZkBQDyKVqBoLSSgvDn6EXOtwCkaWS9QvuvsZ1ywV_inUt4MwzRmuJjwCcu--uQcR8TvpiG4qc8AxO6ZTKhuBAMPol3YfDhB97GcZyCf0xf7XNxY8blJsXp-mb-Db_cPb7cFT_6hz_mJXrWmyG7V4_vEfp--uHb9lN1fvnx83ZzXlnKaKmopUIwympqe-sUZR0VTlpmWpC87TltrDJtbZWsea86a7qeG8EMkM7Iltb0CL1f9u5S_Dm5XPTos3XDYIKLU9ZSAueMCDnLd_-VlFNGoOEzfPsPvI1TCvMVWvIGqKCymREsyKaYc3K93iU_mrTXBPShMn2oTB8q00tlc-TNEvHOub-8qZXioOhvl2WUrA</recordid><startdate>20070901</startdate><enddate>20070901</enddate><creator>Payaro, M.</creator><creator>Pascual-Iserte, A.</creator><creator>Lagunas, M.A.</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>L7M</scope><scope>F28</scope><scope>FR3</scope></search><sort><creationdate>20070901</creationdate><title>Robust Power Allocation Designs for Multiuser and Multiantenna Downlink Communication Systems through Convex Optimization</title><author>Payaro, M. ; Pascual-Iserte, A. ; Lagunas, M.A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c353t-3c37753523cfce935d37e8c5ab086bf634c9ab2c9826f9dcadf6a75a01da8b323</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2007</creationdate><topic>Allocations</topic><topic>Channels</topic><topic>Communication</topic><topic>Communication systems</topic><topic>Context-aware services</topic><topic>Convex analysis</topic><topic>Design engineering</topic><topic>Design optimization</topic><topic>Downlink</topic><topic>Estimates</topic><topic>Estimation error</topic><topic>Mathematical models</topic><topic>Optimization</topic><topic>Power system modeling</topic><topic>Quantization</topic><topic>Robustness</topic><topic>Studies</topic><topic>Transmitters</topic><topic>Uncertainty</topic><topic>Wireless communication</topic><topic>Wireless communications</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Payaro, M.</creatorcontrib><creatorcontrib>Pascual-Iserte, A.</creatorcontrib><creatorcontrib>Lagunas, M.A.</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><jtitle>IEEE journal on selected areas in communications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Payaro, M.</au><au>Pascual-Iserte, A.</au><au>Lagunas, M.A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Robust Power Allocation Designs for Multiuser and Multiantenna Downlink Communication Systems through Convex Optimization</atitle><jtitle>IEEE journal on selected areas in communications</jtitle><stitle>J-SAC</stitle><date>2007-09-01</date><risdate>2007</risdate><volume>25</volume><issue>7</issue><spage>1390</spage><epage>1401</epage><pages>1390-1401</pages><issn>0733-8716</issn><eissn>1558-0008</eissn><coden>ISACEM</coden><abstract>In this paper, we study the design of the transmitter in the downlink of a multiuser and multiantenna wireless communications system, considering the realistic scenario where only an imperfect estimate of the actual channel is available at both communication ends. Precisely, the actual channel is assumed to be inside an uncertainty region around the channel estimate, which models the imperfections of the channel knowledge that may arise from, e.g., estimation Gaussian errors, quantization effects, or combinations of both sources of errors. In this context, our objective is to design a robust power allocation among the information symbols that are to be sent to the users such that the total transmitted power is minimized, while maintaining the necessary quality of service to obtain reliable communication links between the base station and the users for any possible realization of the actual channel inside the uncertainty region. This robust power allocation is obtained as the solution to a convex optimization problem, which, in general, can be numerically solved in a very efficient way, and even for a particular case of the uncertainty region, a quasi-closed form solution can be found. Finally, the goodness of the robust proposed transmission scheme is presented through numerical results. Robust designs, imperfect CSI, multiantenna systems, broadcast channel, convex optimization.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/JSAC.2007.070912</doi><tpages>12</tpages></addata></record> |
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subjects | Allocations Channels Communication Communication systems Context-aware services Convex analysis Design engineering Design optimization Downlink Estimates Estimation error Mathematical models Optimization Power system modeling Quantization Robustness Studies Transmitters Uncertainty Wireless communication Wireless communications |
title | Robust Power Allocation Designs for Multiuser and Multiantenna Downlink Communication Systems through Convex Optimization |
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