In this paper, we study the simultaneous wireless information and power transfer (SWIPT) cooperative system, where one source forwards information to one destination with the assistance of multiple relays. Each relay is equipped with a finite data butter and a finite energy butter storing the harvested energy by radio-frequency (RF). An optimization problem is formulated for throughput maximization of the SWIPT cooperative system, taking into consideration the strict delay constraint, dynamic channel conditions, time-varying discrete data butter states and time-varying continuous energy butter states. A discrete-time Markov decision process (MDP) is adopted to model the relay selection process referring to data butter states and energy butter states. Two deep Q-network (DQN)based methods named invalid action penalty (IAP) and invalid action mask (IAM) are proposed. The simulation results show that the proposed IAM method can achieve better convergence and throughput performance than the IAP method.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Deep Reinforcement Learning based Relay Selection for SWIPT Systems with Data Buffer and Energy Storage


    Contributors:
    Quan, Jianping (author) / Xu, Peng (author) / Luo, Chenghong (author) / Huang, Chong (author) / Chen, Gaojie (author)


    Publication date :

    2022-09-01


    Size :

    531126 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Secure Transmission Scheme Design for SWIPT in Buffer-aided Relay Networks

    Ren, Juanjuan / Lei, Xianfu / Diamantoulakis, Panagiotis D. et al. | IEEE | 2020


    SWIPT in MIMO AF Relay Systems with Direct Link

    Wang, Jinlong / Wang, Gang / Lin, Zihuai et al. | IEEE | 2019



    Performance Analysis of Massive MIMO Two-Way Relay Systems with SWIPT

    Wang, Jinlong / Zheng, Liming / Ding, Ming et al. | IEEE | 2019