Privacy Protection via Beamforming Optimization in MISO NOMA Networks

Yang Cao, Nan Zhao, Yunfei Chen, Minglu Jin, Lisheng Fan, Zhiguo Ding, F. Richard Yu

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

1 Scopus citations

Abstract

Non-orthogonal multiple access (NOMA) is a promising approach for 5G. However, the privacy between users may be compromised due to the superposition of all users' signals to successive interference cancellation (SIC) receivers. In this paper, we propose a scheme based on beamforming optimization for the downlink NOMA that can enhance the security of a specific private user while guaranteeing other users' quality of service (QoS). Specifically, we intend to maximize the secrecy rate of the private user, under the constraint that the other users' QoS is satisfied. Owing to the non-convexity, we first convert it into convex forms and then, an iterative algorithm based on the concave-convex procedure is proposed to attain their solutions. Extensive simulation results are presented to evaluate the effectiveness of the proposed scheme.

Original languageBritish English
Title of host publication2018 10th International Conference on Wireless Communications and Signal Processing, WCSP 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538661192
DOIs
StatePublished - 30 Nov 2018
Event10th International Conference on Wireless Communications and Signal Processing, WCSP 2018 - Hangzhou, China
Duration: 18 Oct 201820 Oct 2018

Publication series

Name2018 10th International Conference on Wireless Communications and Signal Processing, WCSP 2018

Conference

Conference10th International Conference on Wireless Communications and Signal Processing, WCSP 2018
Country/TerritoryChina
CityHangzhou
Period18/10/1820/10/18

Keywords

  • beamforming optimization
  • Non-orthogonal multiple access
  • physical layer security
  • privacy protection

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