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Alternating Beamforming With Intelligent Reflecting Surface Element Allocation
IEEE Wireless Communications Letters ( IF 4.6 ) Pub Date : 2021-03-02 , DOI: 10.1109/lwc.2021.3062992
Hyesang Cho , Junil Choi

Intelligent reflecting surface (IRS) has become a promising technology to aid next generation wireless communication systems. In this letter, we develop an alternating beamforming technique with a novel concept of IRS element allocation for multiple-input multiple-output systems when a base station supports multiple single antenna users aided with a single IRS. Specifically, we allocate each IRS element separately to each user, thus, in the beamforming stage allowing the IRS element only consider a single user at a time. In result to this separation, the complexity is vastly decreased. The proposed beamforming technique tries to maximize the minimum rate of all users with minimal complexity. In the numerical results, we show that the proposed technique is comparable to the convex optimization-based benchmark with sufficiently less complexity.

中文翻译:

具有智能反射表面元素分配的交替波束成形

智能反射面 (IRS) 已成为辅助下一代无线通信系统的有前途的技术。在这封信中,我们开发了一种交替波束成形技术,当基站支持单个 IRS 辅助的多个单天线用户时,我们为多输入多输出系统开发了一种具有 IRS 元素分配的新颖概念。具体来说,我们将每个 IRS 元素分别分配给每个用户,因此,在波束成形阶段,允许 IRS 元素一次只考虑一个用户。由于这种分离,复杂性大大降低。所提出的波束成形技术试图以最小的复杂性最大化所有用户的最小速率。在数值结果中,我们表明所提出的技术可与基于凸优化的基准相媲美,但复杂性足够低。
更新日期:2021-03-02
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