Maximizing SINR for non-orthogonal multiple access with bounded channel uncertainties

Suhaib M. Al-Basit, Jingjing Cui, Yuanwei Liu, Zhiguo Ding, Pingzhi Fan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

This letter examines the robust beamforming design multiple-input single-output (MISO) non-orthogonal multiple access (NOMA) downlink systems with imperfect channel state information (ICSI). Sparked by the worst-case performance optimization framework, we consider to maximize the minimum of received signal-to-interference-plus-noise ratios (SINRs) of users, which is not convex with regards of beamforming vectors. The formulated optimization problem is not convex so, to solve the challengeable problem, we first formulate a equivalent optimization problem based on semidefinite programming (SDP). By applying a rank one relaxation and a linear matrix inequality (LMI) the S-Procedure can be used, which leads to exploiting bisection algorithm in order to obtaining the robust optimal beamforming solution. Finally, simulation results demonstrate the proposed design.

Original languageBritish English
Title of host publication2017 IEEE/CIC International Conference on Communications in China, ICCC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
ISBN (Electronic)9781538645024
DOIs
StatePublished - 2 Apr 2018
Event2017 IEEE/CIC International Conference on Communications in China, ICCC 2017 - Qingdao, China
Duration: 22 Oct 201724 Oct 2017

Publication series

Name2017 IEEE/CIC International Conference on Communications in China, ICCC 2017
Volume2018-January

Conference

Conference2017 IEEE/CIC International Conference on Communications in China, ICCC 2017
Country/TerritoryChina
CityQingdao
Period22/10/1724/10/17

Keywords

  • bisection algorithm
  • imperfect channel state information (ICSI)
  • non-orthogonal multiple access (NOMA)
  • S-Procedure
  • semidefinite programming (SDP)

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