Securing massive MIMO-NOMA networks with ZF beamforming and artificial noise

Nam Phong Nguyen, Ming Zeng, Octavia A. Dobre, H. Vincent Poor

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

9 Scopus citations

Abstract

In this paper, we propose using artificial noise (AN) and zero-forcing (ZF) beamforming to protect massive multiple-input multiple-output (MIMO) non- orthogonal multiple access (NOMA) networks. In particular, the ergodic legitimate, eavesdropping, and secrecy rates are derived while taking imperfect channel estimation into account. From the obtained ergodic rates, the effects of ZF precoder, AN, and the number of antennas at the base station are revealed. Results show that the ZF precoder can enhance secrecy performance when compared with maximum ratio transmission precoder. Furthermore, an optimization algorithm is proposed to maximize the sum secrecy rate of the proposed network, while guaranteeing a target secrecy rate at each user equipment. Numerical results verify the correctness of the analysis and the effectiveness of the proposed algorithm.

Original languageEnglish (US)
Title of host publication2019 IEEE Global Communications Conference, GLOBECOM 2019 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728109626
DOIs
StatePublished - Dec 2019
Event2019 IEEE Global Communications Conference, GLOBECOM 2019 - Waikoloa, United States
Duration: Dec 9 2019Dec 13 2019

Publication series

Name2019 IEEE Global Communications Conference, GLOBECOM 2019 - Proceedings

Conference

Conference2019 IEEE Global Communications Conference, GLOBECOM 2019
Country/TerritoryUnited States
CityWaikoloa
Period12/9/1912/13/19

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Hardware and Architecture
  • Information Systems
  • Signal Processing
  • Information Systems and Management
  • Safety, Risk, Reliability and Quality
  • Media Technology
  • Health Informatics

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