Resource Allocation in Reconfigurable Intelligent Surfaces with Imperfect Phase Compensation

Swaraj Srivastava, Yoghitha Ramamoorthi, Abhinav Kumar, T. Murakami, Tomoki Ogawa, Yasushi Takatori
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Abstract

Reconfigurable Intelligent Surfaces (RISs) are acknowledged as key technologies for the upcoming sixth generation (6G) of mobile communication networks. The performance of the RIS systems heavily relies on the accuracy of phase compensation, which is often imperfect in practical scenarios. In this poster, we analyze the performance of RIS systems by allocating the fraction of total elements within the RIS used for a particular user, taking into account this imperfect phase compensation (IPC). We then derive a lower bound on the element allocation factor required for a user to achieve higher data rates when compared to benchmark scenario (without RIS). Additionally, we establish an upper bound on the IPC to assess in advance whether this system can provide higher spectral efficiency in comparison to the benchmark system. Furthermore, we demonstrate a trade-off between the IPC and the fraction of elements of RIS utilized by a user to obtain a specific data rate.
具有不完善相位补偿功能的可重构智能表面中的资源分配
可重构智能表面(RIS)被认为是即将到来的第六代(6G)移动通信网络的关键技术。RIS 系统的性能在很大程度上取决于相位补偿的准确性,而在实际应用中,相位补偿往往并不完美。在本海报中,我们分析了 RIS 系统的性能,在考虑到不完美相位补偿 (IPC) 的情况下,分配 RIS 中用于特定用户的总元素比例。与基准方案(无 RIS)相比,我们得出了用户为获得更高的数据传输率所需的元素分配系数下限。此外,我们还确定了 IPC 的上限,以提前评估与基准系统相比,该系统能否提供更高的频谱效率。此外,我们还证明了 IPC 与用户为获得特定数据传输速率而使用的 RIS 元素分数之间的权衡。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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