Low complexity transmit antenna selection with power balancing in OFDM systems

Ki Hong Park, Young Chai Ko, Mohamed Slim Alouini

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)


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.

Original languageEnglish
Article number5595098
Pages (from-to)3018-3023
Number of pages6
JournalIEEE Transactions on Wireless Communications
Issue number10
Publication statusPublished - 2010 Oct

Bibliographical note

Funding Information:
This research was supported in part by the MKE (The Ministry of Knowledge Economy), Korea, under the ITRC (Information Technology Research Center) support program, supervised by the NIPA (National IT Industry Promotion Agency) (NIPA-2010-(C1090-1011-0011)), and funded in part by QNRF (The Qatar National Research Fund; a member of QF). Digital Object Identifier 10.1109/TWC.2010.09.100736


  • Transmit antenna selection
  • adaptive modulation
  • orthogonal frequency division multiplexing
  • power balancing constraint

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics


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