论文标题
超越无细胞的MIMO:能源有效的可重构智能表面辅助辅助无细胞的MIMO通信
Beyond Cell-free MIMO: Energy Efficient Reconfigurable Intelligent Surface Aided Cell-free MIMO Communications
论文作者
论文摘要
无细胞的系统可以通过启用多个基站(BSS)来有效地消除间断的干扰,因为由于BSS的大规模部署,以高成本的硬件和电源为代价,以牺牲高成本和电源为代价为用户提供服务。为了解决此问题,低成本可重构的智能表面(RIS)可以作为提高无细胞系统能源效率的有前途的技术。在本文中,我们考虑了RIS辅助无单元的MIMO系统,其中在BS和用户周围部署了多个RIS,以低成本的方式通过可重构反射创建有利的传播条件,从而增强了无单元的MIMO通信。为了最大程度地提高能效,提出了由BSS的数字波束形成和基于RIS基于RIS的模拟波束形成的杂交边界成形(HBF)方案。提出了能源效率最大化问题,并设计了迭代算法来解决此问题。研究了发射功率,RI的数量和RIS大小对能源效率的影响。理论分析和仿真结果都表明,最佳能效取决于RIS和RIS大小的数量。数值评估还表明,所提出的系统可以实现比传统的系统更高的能源效率。
Cell-free systems can effectively eliminate the inter-cell interference by enabling multiple base stations (BSs) to cooperatively serve users without cell boundaries at the expense of high costs of hardware and power sources due to the large-scale deployment of BSs. To tackle this issue, the low-cost reconfigurable intelligent surface (RIS) can serve as a promising technique to improve the energy efficiency of cell-free systems. In this paper, we consider an RIS aided cell-free MIMO system where multiple RISs are deployed around BSs and users to create favorable propagation conditions via reconfigurable reflections in a low-cost way, thereby enhancing cell-free MIMO communications. To maximize the energy efficiency, a hybrid beamforming (HBF) scheme consisting of the digital beamforming at BSs and the RIS-based analog beamforming is proposed. The energy efficiency maximization problem is formulated and an iterative algorithm is designed to solve this problem. The impact of the transmit power, the number of RIS, and the RIS size on energy efficiency are investigated. Both theoretical analysis and simulation results reveal that the optimal energy efficiency depends on the numbers of RISs and the RIS size. Numerical evaluations also show that the proposed system can achieve a higher energy efficiency than conventional ones.