The Journal of China Universities of Posts and Telecommunications ›› 2022, Vol. 29 ›› Issue (1): 93-101.doi: 10.19682/j.cnki.1005-8885.2022.2010

• Networks • Previous Articles     Next Articles

Maximum throughput design for IRS aided WPCN system based on NOMA

Guo Hui, Zhao Xuehui   

  1. School of Physics and Electronic Information Engineering, Henan Polytechnic University, Jiaozuo 454003, China
  • Received:2021-06-07 Revised:2021-08-05 Accepted:2021-11-06 Online:2022-02-26 Published:2022-02-28
  • Contact: Corresponding author: Guo Hui
  • Supported by:
    This work was supported by the Key Scientific and Technological Projects in Henan Province (202102310560), the Basic Scientific Research Operating Expenses of Henan Polytechnic University (NSFRF180309).

Abstract: This paper considers a wireless powered communication network (WPC network, WPCN) based on non-orthogonal multiple access (NOMA) technology aided by intelligent reflective surfaces (IRS). WPCN mainly focuses on downlink energy transfer (ET) and uplink information transmission (IT). At the ET phase, a dedicated multi-antenna power station (PS) is equipped to supply power to users with the assistance of IRS, and at the IT phase, the IRS adjusts the phase to assist the user in applying NOMA technology to transmit information to the base station (BS), thus minimizing the impact of dynamic IRS on the system. Based on the above settings, the maximization of sum-throughput of the system under this working mode is studied. Due to the non-convexity of maximization problem of the sum-throughput of this system, block coordinate descent (BCD) technology is applied for alternative optimization of each system block by semidefinite relaxation (SDR) and particle swarm optimization (PSO) respectively. The numerical results show that compared with baseline scheme, the proposed optimization scheme can provide greater sum-throughput of the system.

Key words: wireless powered communication network, intelligent reflecting surface, non-orthogonal multiple access

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