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Conference Paper: Optimization of resource allocation for the downlink of multiuser MISO-OFDM systems

TitleOptimization of resource allocation for the downlink of multiuser MISO-OFDM systems
Authors
KeywordsAllocation algorithm
Antenna selection
Bit and power allocation
Lower complexity
Miso-ofdm systems
Issue Date2010
PublisherIEEE.
Citation
Ict 2010: 2010 17Th International Conference On Telecommunications, 2010, p. 266-271 How to Cite?
AbstractIn this paper, we investigate the optimization problem of resource allocation in downlink of multiuser MISO-OFDM system. Multiple users with different BER and minimum transmission rate requirements are considered. We propose a novel heuristic allocation algorithm (HAA) of radio resource, which minimizes the total transmit power of the base station while meeting individual users'QoS requirements. The proposed algorithm combines antenna selection, subcarrier, bit and power allocation together, pre-estimating number of subcarriers assigned to each user and number of bits loaded for each subcarrier to reduce search number, reducing about 8 dB average bit SNR comparing with fixed allocation algorithm (FAA), and acquiring asymptotic average bit SNR of optimal allocation algorithm (OAA) with much lower complexity. © 2009 IEEE.
DescriptionProceedings of the IEEE International Conference on Telecommunications, 2010, p. 266-271
Persistent Identifierhttp://hdl.handle.net/10722/126126
References

 

DC FieldValueLanguage
dc.contributor.authorZhu, Len_HK
dc.contributor.authorYeung, KLen_HK
dc.date.accessioned2010-10-31T12:11:12Z-
dc.date.available2010-10-31T12:11:12Z-
dc.date.issued2010en_HK
dc.identifier.citationIct 2010: 2010 17Th International Conference On Telecommunications, 2010, p. 266-271en_HK
dc.identifier.urihttp://hdl.handle.net/10722/126126-
dc.descriptionProceedings of the IEEE International Conference on Telecommunications, 2010, p. 266-271-
dc.description.abstractIn this paper, we investigate the optimization problem of resource allocation in downlink of multiuser MISO-OFDM system. Multiple users with different BER and minimum transmission rate requirements are considered. We propose a novel heuristic allocation algorithm (HAA) of radio resource, which minimizes the total transmit power of the base station while meeting individual users'QoS requirements. The proposed algorithm combines antenna selection, subcarrier, bit and power allocation together, pre-estimating number of subcarriers assigned to each user and number of bits loaded for each subcarrier to reduce search number, reducing about 8 dB average bit SNR comparing with fixed allocation algorithm (FAA), and acquiring asymptotic average bit SNR of optimal allocation algorithm (OAA) with much lower complexity. © 2009 IEEE.en_HK
dc.languageengen_HK
dc.publisherIEEE.en_HK
dc.relation.ispartofICT 2010: 2010 17th International Conference on Telecommunicationsen_HK
dc.rights©2010 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.-
dc.subjectAllocation algorithm-
dc.subjectAntenna selection-
dc.subjectBit and power allocation-
dc.subjectLower complexity-
dc.subjectMiso-ofdm systems-
dc.titleOptimization of resource allocation for the downlink of multiuser MISO-OFDM systemsen_HK
dc.typeConference_Paperen_HK
dc.identifier.emailYeung, KL:kyeung@eee.hku.hken_HK
dc.identifier.authorityYeung, KL=rp00204en_HK
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1109/ICTEL.2010.5478862en_HK
dc.identifier.scopuseid_2-s2.0-77954551146en_HK
dc.identifier.hkuros171473en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-77954551146&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.spage266en_HK
dc.identifier.epage271en_HK
dc.identifier.scopusauthoridZhu, L=7404201072en_HK
dc.identifier.scopusauthoridYeung, KL=7202424908en_HK

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