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arXiv 2109.14964cs.ITeess.SPmath.IT
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可重构智能表面辅助无线网络的容量提升:从规则阵列到不规则阵列

Capacity Enhancement for Reconfigurable Intelligent Surface-Aided Wireless Network: from Regular Array to Irregular Array

Ruochen Su, Linglong Dai, Jingbo Tan, Mo Hao, Richard MacKenzie

摘要:

可重构智能表面(RIS)是未来6G无线通信的一个发展方向。然而,RIS元件数量的增加导致信道获取的高开销和不可忽略的功耗。因此,如何在RIS要素有限的情况下提高系统容量至关重要。与传统的规则RIS的元素被安排在一个规则的网格,在本文中,我们提出了一个不规则的RIS结构,以提高系统的容量。其关键思想是在一个扩大的表面上不规则地配置给定数量的RIS单元,与常规RIS相比,这提供了额外的空间自由度。这样,可以提高接收信号功率,从而可以提高系统容量。然后,我们制定了一个联合的拓扑结构和预编码优化问题,以最大限度地提高不规则的RIS辅助通信系统的容量。在此基础上,提出了一种低复杂度的RIS拓扑和预编码交替优化算法。特别地,使用基于禁忌搜索的方法来设计不规则RIS拓扑,并引入基于邻居提取的交叉熵方法来优化预编码设计。仿真结果表明,在受限于RIS单元数的情况下,所提出的非规则RIS能显著提高系统容量。

英文摘要:

Reconfigurable intelligent surface (RIS) is promising for future 6G wireless communications. However, the increased number of RIS elements results in the high overhead for channel acquisition and the non-negligible power consumption. Therefore, how to improve the system capacity with limited RIS elements is essential. Unlike the classical regular RIS whose elements are arranged on a regular grid, in this paper, we propose an irregular RIS structure to improve the system capacity. The key idea is to irregularly configure a given number of RIS elements on an enlarged surface, which provides extra spatial degrees of freedom compared with the regular RIS. In this way, the received signal power can be enhanced, and thus the system capacity can be improved. Then, we formulate a joint topology and precoding optimization problem to maximize the capacity for irregular RIS-aided communication systems. Accordingly, a joint optimization algorithm with low complexity is proposed to alternately optimize the RIS topology and the precoding design. Particularly, a tabu search-based method is used to design the irregular RIS topology, and a neighbor extraction-based cross-entropy method is introduced to optimize the precoding design. Simulation results demonstrate that, subject to the constraint of limited RIS elements, the proposed irregular RIS can significantly enhance the system capacity.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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