Low complexity transmit antenna selection with power balancing in OFDM systems

Handle URI:
http://hdl.handle.net/10754/561546
Title:
Low complexity transmit antenna selection with power balancing 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 multi-carrier systems with multiple transmit antennas under the power balancing constraint, which is defined as the constraint that the power on each antenna should be limited under a certain level due to the linearity of the power amplifier of the RF chain. Applying transmit antenna selection and fixed-power variable-rate transmission per subcarrier as a function of channel variations, we propose an implementation-friendly antenna selection method which offers a reduced complexity in comparison with the optimal antenna selection scheme. More specifically, in order to solve the subcarrier imbalance across the antennas, we operate a two-step reallocation procedure to minimize the loss of spectral efficiency. We also provide an analytic lower bound on the spectral efficiency for the proposed scheme. From selected numerical results, we show that our suboptimal scheme offers almost the same spectral efficiency as the optimal one. © 2010 IEEE.
KAUST Department:
Physical Sciences and Engineering (PSE) Division; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; Electrical Engineering Program; Communication Theory Lab
Publisher:
Institute of Electrical and Electronics Engineers
Journal:
IEEE Transactions on Wireless Communications
Issue Date:
Oct-2010
DOI:
10.1109/TWC.2010.09.100736
Type:
Article
ISSN:
15361276
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.accessioned2015-08-02T09:13:55Zen
dc.date.available2015-08-02T09:13:55Zen
dc.date.issued2010-10en
dc.identifier.issn15361276en
dc.identifier.doi10.1109/TWC.2010.09.100736en
dc.identifier.urihttp://hdl.handle.net/10754/561546en
dc.description.abstractIn this paper, we consider multi-carrier systems with multiple transmit antennas under the power balancing constraint, which is defined as the constraint that the power on each antenna should be limited under a certain level due to the linearity of the power amplifier of the RF chain. Applying transmit antenna selection and fixed-power variable-rate transmission per subcarrier as a function of channel variations, we propose an implementation-friendly antenna selection method which offers a reduced complexity in comparison with the optimal antenna selection scheme. More specifically, in order to solve the subcarrier imbalance across the antennas, we operate a two-step reallocation procedure to minimize the loss of spectral efficiency. We also provide an analytic lower bound on the spectral efficiency for the proposed scheme. From selected numerical results, we show that our suboptimal scheme offers almost the same spectral efficiency as the optimal one. © 2010 IEEE.en
dc.publisherInstitute of Electrical and Electronics Engineersen
dc.subjectadaptive modulationen
dc.subjectorthogonal frequency division multiplexingen
dc.subjectpower balancing constrainten
dc.subjectTransmit antenna selectionen
dc.titleLow complexity transmit antenna selection with power balancing in OFDM systemsen
dc.typeArticleen
dc.contributor.departmentPhysical Sciences and Engineering (PSE) Divisionen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.contributor.departmentElectrical Engineering Programen
dc.contributor.departmentCommunication Theory Laben
dc.identifier.journalIEEE Transactions on Wireless Communicationsen
dc.contributor.institutionDepartment of Electronics and Computer Engineering, Korea University, Seoul, South Koreaen
kaust.authorAlouini, Mohamed-Slimen
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