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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:IEEE journal on selected areas in communications 2007-09, Vol.25 (7), p.1390-1401
Hauptverfasser: Payaro, M., Pascual-Iserte, A., Lagunas, M.A.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 1401
container_issue 7
container_start_page 1390
container_title IEEE journal on selected areas in communications
container_volume 25
creator Payaro, M.
Pascual-Iserte, A.
Lagunas, M.A.
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
format Article
fullrecord <record><control><sourceid>proquest_RIE</sourceid><recordid>TN_cdi_crossref_primary_10_1109_JSAC_2007_070912</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>4299609</ieee_id><sourcerecordid>880665178</sourcerecordid><originalsourceid>FETCH-LOGICAL-c353t-3c37753523cfce935d37e8c5ab086bf634c9ab2c9826f9dcadf6a75a01da8b323</originalsourceid><addsrcrecordid>eNp90U1v1DAQBmALgcRSuCNxsTjAKdtxHH8dV1sKVK2KKJwtx3Fal8RebId2--vJkooDB07WyM870uhF6DWBNSGgjs-uNtt1DSDWIECR-glaEcZkBQDyKVqBoLSSgvDn6EXOtwCkaWS9QvuvsZ1ywV_inUt4MwzRmuJjwCcu--uQcR8TvpiG4qc8AxO6ZTKhuBAMPol3YfDhB97GcZyCf0xf7XNxY8blJsXp-mb-Db_cPb7cFT_6hz_mJXrWmyG7V4_vEfp--uHb9lN1fvnx83ZzXlnKaKmopUIwympqe-sUZR0VTlpmWpC87TltrDJtbZWsea86a7qeG8EMkM7Iltb0CL1f9u5S_Dm5XPTos3XDYIKLU9ZSAueMCDnLd_-VlFNGoOEzfPsPvI1TCvMVWvIGqKCymREsyKaYc3K93iU_mrTXBPShMn2oTB8q00tlc-TNEvHOub-8qZXioOhvl2WUrA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>864037384</pqid></control><display><type>article</type><title>Robust Power Allocation Designs for Multiuser and Multiantenna Downlink Communication Systems through Convex Optimization</title><source>IEEE Electronic Library (IEL)</source><creator>Payaro, M. ; Pascual-Iserte, A. ; Lagunas, M.A.</creator><creatorcontrib>Payaro, M. ; Pascual-Iserte, A. ; Lagunas, M.A.</creatorcontrib><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><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>315,782,786,798,27931,27932,54765</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 &amp; Communications Abstracts</collection><collection>Technology Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>ANTE: Abstracts in New Technology &amp; 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>
fulltext fulltext_linktorsrc
identifier ISSN: 0733-8716
ispartof IEEE journal on selected areas in communications, 2007-09, Vol.25 (7), p.1390-1401
issn 0733-8716
1558-0008
language eng
recordid cdi_crossref_primary_10_1109_JSAC_2007_070912
source IEEE Electronic Library (IEL)
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
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-05T23%3A13%3A13IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_RIE&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Robust%20Power%20Allocation%20Designs%20for%20Multiuser%20and%20Multiantenna%20Downlink%20Communication%20Systems%20through%20Convex%20Optimization&rft.jtitle=IEEE%20journal%20on%20selected%20areas%20in%20communications&rft.au=Payaro,%20M.&rft.date=2007-09-01&rft.volume=25&rft.issue=7&rft.spage=1390&rft.epage=1401&rft.pages=1390-1401&rft.issn=0733-8716&rft.eissn=1558-0008&rft.coden=ISACEM&rft_id=info:doi/10.1109/JSAC.2007.070912&rft_dat=%3Cproquest_RIE%3E880665178%3C/proquest_RIE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=864037384&rft_id=info:pmid/&rft_ieee_id=4299609&rfr_iscdi=true