Joint beamforming and jamming optimization for secure transmission in MISO-NOMA Networks

Nan Zhao, Wei Wang, Jingjing Wang, Yunfei Chen, Yun Lin, Zhiguo Ding, Norman C. Beaulieu

Research output: Contribution to journalArticlepeer-review

81 Scopus citations

Abstract

Non-orthogonal multiple access (NOMA) has been developed as a key multi-access technique for 5G. However, secure transmission remains a challenge in NOMA. Especially, the user with weakest channel is most threatened by eavesdropping, due to its highest transmit power. Two schemes are proposed to generate artificial jamming at the NOMA base station (BS), aiming at disrupting the potential eavesdropping without affecting the legitimate transmission. In the first scheme, the transmit power of artificial jamming is maximized, with its received power at each receiver higher than that of other users. Thus, the jamming signal can be eliminated via successive interference cancellation before others. When the transmit power of the BS is inadequate, the transmit jamming power is maximized with the jamming signal zero-forced at each receiver. Thus, the legitimate transmission is not affected by the jamming, and the eavesdropping can be disrupted effectively. Due to the non-convexity of these two optimization problems, we first convert them to convex ones and, then, provide an iterative algorithm to solve them. Simulation results are presented to show the effectiveness of the proposed schemes in guaranteeing the security of NOMA networks.

Original languageBritish English
Article number8543655
Pages (from-to)2294-2305
Number of pages12
JournalIEEE Transactions on Communications
Volume67
Issue number3
DOIs
StatePublished - Mar 2019

Keywords

  • Artificial jamming
  • beamforming optimization
  • non-orthogonal multiple access
  • physical layer security
  • zero-forcing

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