In the intelligent reflecting surface (IRS)-aided wireless communication system, prior works showed that mutual coupling caused by the IRS elements is negative for signal transmission and cannot be ignored on performance. This paper studies the selection of elements on IRS from the perspective on mutual coupling, and aims to improve receiver's signal by obtaining an irregular IRS element topology with lower mutual coupling. On the basis of genetic algorithm (GA), we encoded an IRS element topology into a chromosome. GA's operations such as crossover and mutation are proposed to find the better element topology under a limitation in the number of selected elements. Simulation results show that the proposed GA-based approach converges quickly and the achievable rate of user equipment is improved compared to other heuristic selection strategies.


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    Titel :

    Irregular Element Selection for Intelligent Reflecting Surface with Mutual Coupling


    Beteiligte:
    Tseng, Fan-Hsun (Autor:in) / Liu, Chin-Hung (Autor:in) / Cho, Hsin-Hung (Autor:in) / Chen, Chi-Yuan (Autor:in)


    Erscheinungsdatum :

    24.06.2024


    Format / Umfang :

    453389 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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