10th EAI International Conference on Mobile Multimedia Communications

Research Article

Optimal Design for Power Beacon Assisted Wireless Communication Networks With Integrated Services

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  • @INPROCEEDINGS{10.4108/eai.13-7-2017.2270076,
        author={Bin Li and Haiju Liu and Zesong Fei},
        title={Optimal Design for Power Beacon Assisted Wireless Communication Networks With Integrated Services},
        proceedings={10th EAI International Conference on Mobile Multimedia Communications},
        publisher={EAI},
        proceedings_a={MOBIMEDIA},
        year={2017},
        month={12},
        keywords={physical-layer service integration wireless energy transfer common message condential message secrecy capacity region},
        doi={10.4108/eai.13-7-2017.2270076}
    }
    
  • Bin Li
    Haiju Liu
    Zesong Fei
    Year: 2017
    Optimal Design for Power Beacon Assisted Wireless Communication Networks With Integrated Services
    MOBIMEDIA
    EAI
    DOI: 10.4108/eai.13-7-2017.2270076
Bin Li1,*, Haiju Liu2, Zesong Fei1
  • 1: Beijing Institute of Technology
  • 2: Wuzhou University
*Contact email: libin_sun@bit.edu.cn

Abstract

In this paper, we consider the optimal design for a wireless-powered communication system, where an energy constrained transmitter harvests energy from a dedicated power beacon (PB). From the service integration perspective, two sorts of service messages are combined and served simultaneously, i.e., a multicast message intended for both receivers and a condential message intended for receiver 1 but needing to be kept perfectly secret from receiver 2. Our design objective is to maximize the achievable secrecy rate region by jointly optimizing the transmit covariance matrices for the multicast message and condential message, as well as the transfer time ratio recorded at the transmitter, subject to the multicast service and the transmit power constraints. The formulated secrecy rate region maximization (SRRM) problem is a non-convex vector maximization problem. To address it, we reformulate the SRRM problem into a scalar optimization problem. Furthermore, we propose a two-layer optimal algorithm to nd all the Pareto optimal points. Numerical results are finally provided to demonstrate the eectiveness of our proposed scheme in improving the secrecy rate region.