海报:用于irs辅助的超5G无线网络的低复杂性模型

2023 IEEE 24th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM) Pub Date : 2023-06-01 DOI:10.1109/WoWMoM57956.2023.00052

Gyana Ranjan Mati, Susmita Das, Annapurna Pradhan

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引用次数: 0

摘要

智能反射面是第五代(5G)及以后通信的关键反射镜，通过在IRS产生相移来确保增强覆盖。求解IRS相移优化问题具有挑战性和非凸性。为此，针对多输入单输出(MISO)系统提出了一种低复杂度模型(LCM)来优化无源和有源波束形成。基于初步结果，该方法可以准确地估计IRS相移，同时计算复杂度较低，这将使其能够在未来用于多用户和多输入多输出(MIMO)系统的研究。

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POSTER: A low-complexity model for IRS-aided beyond 5G wireless networks

The intelligent reflecting surface is a key reflecting mirror in fifth-generation (5G) and beyond 5G communication which ensures enhanced coverage by generating phase shift at the IRS. Solving IRS’s phase shift optimization problem is challenging and non-convex. In this regard, a low complexity model (LCM) is proposed for a multiple-input single-output (MISO) system to optimize passive and active beamforming. Based on initial results, the proposed method estimates IRS phase shifts accurately while being computationally less complex, which will allow it to be studied for multiple users and multiple-input multiple-output (MIMO) systems in the future.

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2023 IEEE 24th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)

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