The Journal of China Universities of Posts and Telecommunications ›› 2023, Vol. 30 ›› Issue (1): 39-46.doi: 10.19682/j.cnki.1005-8885.2023.2004

• Networks • Previous Articles     Next Articles

Resource allocation optimization for SWIPT full-duplex relaying networks with practical energy harvester

Xu Siyang, Song Xin, Zhu Jiahui   

  1. School of Computer and Communication Engineering, Northeastern University at Qinhuangdao, Qinhuangdao 066004, China
  • Received:2021-07-05 Revised:2021-12-06 Accepted:2023-02-13 Online:2023-02-28 Published:2023-02-28
  • Contact: Song Xin, E-mail:
  • Supported by:
    This work was supported by the National Nature Science Foundation of China (61473066) and the Natural Science Foundation of Hebei Province (F2021501020).

Abstract: In this paper, the resource allocation optimization for the simultaneous wireless information and power transfer (SWIPT) full-duplex (FD) relaying networks is investigated, in which the power-constrained relay scavenges energy from the source signal and assists information transmission by FD operation. Taking into account non-linear energy harvesting (EH) hardware circuit characteristics of the relay, the information rate maximization problem is developed by jointly optimizing the time-switching (TS) factor and transmission powers of the source in two different phases. However, the formulated optimization is highly non-convex and difficult to solve. To cope with this problem, the primary problem is decomposed into two sub-problems with respect to the TS factor and transmission powers. After solving these two sub-problems, the final sub-optimal solutions can be obtained by alternating search. Simulation results prove that the optimization of both TS factor and transmission powers can effectively enhance the information rate for the considered networks.

Key words: resource allocation optimization, full-duplex relaying networks, energy harvesting, information rate

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