Efficient SINR fairness algorithm for large distributed multiple-antenna networks

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

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Author(s)

  • Yichao Huang
  • Chee Wei Tan
  • Bhaskar D. Rao

Related Research Unit(s)

Detail(s)

Original languageEnglish
Title of host publicationIEEE International Conference on Acoustics, Speech and Signal Processing
Subtitle of host publicationProceedings
PublisherInstitute of Electrical and Electronics Engineers, Inc.
Pages5026-5030
ISBN (electronic)9781479903566
Publication statusPublished - 18 Oct 2013

Publication series

Name
ISSN (Print)1520-6149
ISSN (electronic)2379-190X

Conference

Title38th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013)
LocationVancouver Convention Center
PlaceCanada
CityVancouver, BC
Period26 - 31 May 2013

Abstract

This paper studies the joint beamforming and power control in a multiuser distributed antenna uplink network, wherein the number of users and the number of separately located antennas grow large with ratio being bounded. We consider the SINR fairness problem under individual power constraint and present a distributed iterative algorithm. This algorithm, though converging to the instantaneous optimal solution, requires instantaneous power update. In order to design a low complexity algorithm that achieves optimality in the asymptotic sense, we leverage the large system structure to derive an asymptotic solution requiring only channel statistics. In this algorithm, the asymptotic power is slowly updated and the asymptotic beamformer can be obtained in a non-iterative manner. The convergence property of the proposed algorithm is also studied. © 2013 IEEE.

Research Area(s)

  • beamforming, large distributed multiple-antenna network, nonlinear Perron-Frobenius theory, Power control, random matrix theory

Citation Format(s)

Efficient SINR fairness algorithm for large distributed multiple-antenna networks. / Huang, Yichao; Tan, Chee Wei; Rao, Bhaskar D.
IEEE International Conference on Acoustics, Speech and Signal Processing: Proceedings. Institute of Electrical and Electronics Engineers, Inc., 2013. p. 5026-5030.

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review