Resource Allocation for Secure Wireless Powered Integrated Multicast and Unicast Services with Full Duplex Self-Energy Recycling

Zheng Chu, Fuhui Zhou, Pei Xiao, Zhengyu Zhu, De Mi, Naofal Al-Dhahir, Rahim Tafazolli

Research output: Journal PublicationArticlepeer-review

31 Citations (Scopus)


This paper investigates a secure wireless-powered integrated service system with full-duplex self-energy recycling. Specifically, an energy-constrained information transmitter (IT), powered by a power station (PS) in a wireless fashion, broadcasts two types of services to all users: a multicast service intended for all users and a confidential unicast service subscribed to by only one user while protecting it from any other unsubscribed users and an eavesdropper. Our goal is to jointly design the optimal input covariance matrices for the energy beamforming, the multicast service, the confidential unicast service, and the artificial noises from the PS and the IT, such that the secrecy-multicast rate region (SMRR) is maximized subject to the transmit power constraints. Due to the non-convexity of the SMRR maximization (SMRRM) problem, we employ a semidefinite programming-based two-level approach to solve this problem and find all of its Pareto optimal points. In addition, we extend the SMRRM problem to the imperfect channel-state information case, where a worst-case SMRRM formulation is investigated. Moreover, we exploit the optimized transmission strategies for the confidential service and energy transfer by analyzing their own rank-one profile. Finally, numerical results are provided to validate our proposed schemes.

Original languageEnglish
Article number8558715
Pages (from-to)620-636
Number of pages17
JournalIEEE Transactions on Wireless Communications
Issue number1
Publication statusPublished - Jan 2019
Externally publishedYes


  • Wireless powered communication network
  • full duplex
  • physical layer security
  • secrecy-multicast performance tradeoff
  • self-energy recycling

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics


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