Optimal phase control for equal-gain transmission in MIMO systems with scalar quantization : Complexity and algorithms

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

12 Scopus Citations
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Author(s)

  • Kin-Kwong Leung
  • Chi Wan Sung
  • Majid Khabbazian
  • Mohammad Ali Safari

Related Research Unit(s)

Detail(s)

Original languageEnglish
Article number5485003
Pages (from-to)3343-3355
Journal / PublicationIEEE Transactions on Information Theory
Volume56
Issue number7
Publication statusPublished - Jul 2010

Abstract

The complexity of the optimal phase control problem in wireless MIMO systems with scalar feedback quantization and equal-gain transmission is studied. The problem is shown to be NP-hard when the number of receive antennas grows linearly with the number of transmit antennas. For the case where the number of receive antennas is constant, the problem can be solved in polynomial time. An optimal algorithm is explicitly constructed. For practical purposes, a low-complexity algorithm based on local search is presented. Simulation results show that its performance is nearly optimal. © 2006 IEEE.

Research Area(s)

  • Beamforming, Closed-loop diversity, Equal-gain transmission, Limited feedback, MIMO systems, Phase control

Citation Format(s)

Optimal phase control for equal-gain transmission in MIMO systems with scalar quantization : Complexity and algorithms. / Leung, Kin-Kwong; Sung, Chi Wan; Khabbazian, Majid et al.

In: IEEE Transactions on Information Theory, Vol. 56, No. 7, 5485003, 07.2010, p. 3343-3355.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review