Robust SINR-constrained MISO downlink beamforming: When is semidefinite programming relaxation tight?

Enbin Song, Qingjiang Shi, Maziar Sanjabi, Ruoyu Sun, Zhi-Quan Luo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

27 Scopus citations

Abstract

We consider the robust beamforming problem under imperfect channel state information (CSI) subject to SINR constraints in a downlink multiuser MISO system. One popular approach to solve this nonconvex optimization problem is via semidefinite relaxation (SDR). In this paper, we prove that the SDR method is tight when the channel uncertainty bound is small or when the base station is equipped with two antennas.

Original languageEnglish (US)
Title of host publication2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Proceedings
Pages3096-3099
Number of pages4
DOIs
StatePublished - Aug 18 2011
Event36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Prague, Czech Republic
Duration: May 22 2011May 27 2011

Other

Other36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011
CountryCzech Republic
CityPrague
Period5/22/115/27/11

Keywords

  • channel uncertainty
  • Robust beamforming
  • SDR
  • SINR

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    Song, E., Shi, Q., Sanjabi, M., Sun, R., & Luo, Z-Q. (2011). Robust SINR-constrained MISO downlink beamforming: When is semidefinite programming relaxation tight? In 2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Proceedings (pp. 3096-3099). [5946350] https://doi.org/10.1109/ICASSP.2011.5946350