On the diversity enhancement and power balancing of per-subcarrier transmit antenna selection in OFDM systems

Handle URI:
http://hdl.handle.net/10754/561654
Title:
On the diversity enhancement and power balancing of per-subcarrier transmit antenna selection in OFDM systems
Authors:
Park, Kihong ( 0000-0002-6867-4277 ) ; Ko, Youngchai; Alouini, Mohamed-Slim ( 0000-0003-4827-1793 )
Abstract:
In this paper, we consider multicarrier systems with multiple transmit antennas under a power-balancing constraint. Applying transmit antenna selection and discrete rate-adaptive modulation using M-ary quadrature-amplitude modulation (QAM) according to the channel variation per subcarrier, we develop an optimal transmit antenna selection scheme in terms of the maximum spectral efficiency, where all the possible groupings for sending the same information-bearing signals in a group of subcarriers are searched, and the groups of subcarriers for providing the frequency diversity gain are formed. In addition, we propose a suboptimal method for reducing the computational complexity of the optimal method. The suboptimal scheme considers only the subcarriers under outage, and these subcarriers are sequentially combined until the required signal-to-noise ratio (SNR) is met. Numerical results show that the proposed suboptimal method with diversity combining outperforms the optimal antenna selection without diversity combining, as introduced in the work of Sandell and Coon, particularly for low-SNR regions, and offers the spectral efficiency close to the optimal method with diversity combining while maintaining lower complexity. © 2011 IEEE.
KAUST Department:
Electrical Engineering Program; Physical Sciences and Engineering (PSE) Division; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; Communication Theory Lab
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
IEEE Transactions on Vehicular Technology
Issue Date:
2011
DOI:
10.1109/TVT.2011.2146798
Type:
Article
ISSN:
00189545
Sponsors:
Manuscript received July 19, 2010; revised December 29, 2010 and March 22, 2011; accepted April 16, 2011. Date of publication April 25, 2011; date of current version June 20, 2011. This work was supported in part by the Ministry of Knowledge Economy, Korea, through the Information Technology Research Center Support Program supervised by the National Information Technology Industry Promotion Agency (NIPA) under Contract NIPA-2011-C1090-1011-0007 and by Qatar National Research Fund: a member of the Qatar Foundation for Education, Science, and Community Development. The review of this paper was coordinated by Dr. D. W. Matolak.
Appears in Collections:
Articles; Physical Sciences and Engineering (PSE) Division; Electrical Engineering Program; Communication Theory Lab; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorPark, Kihongen
dc.contributor.authorKo, Youngchaien
dc.contributor.authorAlouini, Mohamed-Slimen
dc.date.accessioned2015-08-03T09:01:29Zen
dc.date.available2015-08-03T09:01:29Zen
dc.date.issued2011en
dc.identifier.issn00189545en
dc.identifier.doi10.1109/TVT.2011.2146798en
dc.identifier.urihttp://hdl.handle.net/10754/561654en
dc.description.abstractIn this paper, we consider multicarrier systems with multiple transmit antennas under a power-balancing constraint. Applying transmit antenna selection and discrete rate-adaptive modulation using M-ary quadrature-amplitude modulation (QAM) according to the channel variation per subcarrier, we develop an optimal transmit antenna selection scheme in terms of the maximum spectral efficiency, where all the possible groupings for sending the same information-bearing signals in a group of subcarriers are searched, and the groups of subcarriers for providing the frequency diversity gain are formed. In addition, we propose a suboptimal method for reducing the computational complexity of the optimal method. The suboptimal scheme considers only the subcarriers under outage, and these subcarriers are sequentially combined until the required signal-to-noise ratio (SNR) is met. Numerical results show that the proposed suboptimal method with diversity combining outperforms the optimal antenna selection without diversity combining, as introduced in the work of Sandell and Coon, particularly for low-SNR regions, and offers the spectral efficiency close to the optimal method with diversity combining while maintaining lower complexity. © 2011 IEEE.en
dc.description.sponsorshipManuscript received July 19, 2010; revised December 29, 2010 and March 22, 2011; accepted April 16, 2011. Date of publication April 25, 2011; date of current version June 20, 2011. This work was supported in part by the Ministry of Knowledge Economy, Korea, through the Information Technology Research Center Support Program supervised by the National Information Technology Industry Promotion Agency (NIPA) under Contract NIPA-2011-C1090-1011-0007 and by Qatar National Research Fund: a member of the Qatar Foundation for Education, Science, and Community Development. The review of this paper was coordinated by Dr. D. W. Matolak.en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.subjectDiversity enhancement and adaptive modulationen
dc.subjectorthogonal frequency-division multiplexing (OFDM)en
dc.subjectpower-balancing constrainten
dc.subjecttransmit antenna selection (TAS)en
dc.titleOn the diversity enhancement and power balancing of per-subcarrier transmit antenna selection in OFDM systemsen
dc.typeArticleen
dc.contributor.departmentElectrical Engineering Programen
dc.contributor.departmentPhysical Sciences and Engineering (PSE) Divisionen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.contributor.departmentCommunication Theory Laben
dc.identifier.journalIEEE Transactions on Vehicular Technologyen
dc.contributor.institutionSchool of Electrical Engineering, Korea University, Seoul 136-701, South Koreaen
kaust.authorPark, Kihongen
kaust.authorAlouini, Mohamed-Slimen
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