This paper studies the worst-case robust beamforming design for a reconfigurable intelligent surface (RIS) aided non-orthogonal multiple access (NOMA) network with imperfect channels. We aim to minimize the transmission power while satisfying the requirement of the worst-case quality of service (QoS). With the worst-case QoS constraints, unit-modulus constraints and imperfect channel state information (CSI), this problem is a non-convex optimization problem. To solve this problem, we propose a two-procedure algorithm by applying penalty function and semidefinite relaxation (SDR). Finally, simulation results illustrate that the RIS-aided NOMA system has better performance than the traditional NOMA system.


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    Title :

    Robust Beamforming Design for RIS-Aided NOMA Networks With Imperfect Channels


    Contributors:
    Yang, Fengming (author) / Dai, Jianxin (author) / Pan, Cunhua (author) / Hong, Sheng (author) / Ren, Hong (author) / Wang, Kezhi (author)


    Publication date :

    2022-06-01


    Size :

    394945 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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