This paper investigates the problem of fairness in Dual-Function radar-communications system (DFRC) which exploits orthogonal frequency division multiplexing (OFDM) waveforms for performing radar and communication operations simultaneously. A novel iterative algorithm are proposed to maximize the fairness among different communication users (CUs) with the constraint on radar user’s (RU) perfermance. In our considered system, the optimization problem falls into a mixed integer nonlinear programming (MINLP) problem, which is generally NP-hard. In order to make this thorny problem easy to deal with, we propose an approximate algorithm based on BSUM theory to obtain the feasible solution of the original problem in polynomial time. It is shown, using simulation results, that the proposed optimization strategy outperform other strategies in term of fairness.


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    Titel :

    OFDM-based Dual-Function Radar-Communications: Optimal Resource Allocation for Fairness


    Beteiligte:
    Zhu, Jia (Autor:in) / Cui, Yuanhao (Autor:in) / Mu, Junsheng (Autor:in) / Jing, Xiaojun (Autor:in)


    Erscheinungsdatum :

    01.06.2022


    Format / Umfang :

    734949 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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