In this paper, we maximize the sum-throughput of a multi-user MIMO full-duplex wireless powered communication network (FD-WPCN) by jointly optimizing the precoding matrices and time allocation vector. In particular, we consider a more practical scenario with energy causality and finite alphabet inputs. The original optimization problem is non-convex and intractable. We prove that the time allocation problem is convex with the precoding matrices fixed. We also simplify the optimal precoder design to a convex power allocation problem for a given time allocation vector. By optimizing the precoding matrices and the time allocation vector alternately, we propose a two-step iterative algorithm to find the optimal solution. The simulation results show that our scheme outperforms other benchmark schemes significantly.


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    Titel :

    Sum-Throughput Maximization for MIMO Full-Duplex Wireless Powered Communication Network with Finite Alphabet Inputs


    Beteiligte:
    Peng, Yingru (Autor:in) / Ke, Feng (Autor:in)


    Erscheinungsdatum :

    2018-08-01


    Format / Umfang :

    257137 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch