论文标题
由智能反射表面提供动力的无单元的MIMO系统
Cell-Free MIMO Systems Powered by Intelligent Reflecting Surfaces
论文作者
论文摘要
无细胞的大规模多输入多输出（MIMO）和智能反射表面（IRS）被认为是超越第五代（5G）网络的前瞻性多个天线技术。由IRSS提供动力并结合两种技术的无细胞的MIMO系统可以进一步以低成本和能源消耗进一步提高无单元的MIMO系统的性能。先前的工作着重于瞬时性能指标，并依赖于交替的优化算法，该算法施加了巨大的计算复杂性和信号开销。为了应对这些挑战，我们提出了一种新颖的两步算法，该算法使用统计通道状态信息（S-CSI）和短期主动编码和接入点（APS）的长期主动编码和长期功率分配提供了IRS的长期无源束缚器（APS），以最大程度地提高最低可实现的速度。仿真结果验证了所提出的方案的表现优于基准方案，并为由IRS提供动力的无细胞MIMO系统带来了显着的性能增长。
Cell-free massive multiple-input multiple-output (MIMO) and intelligent reflecting surface (IRS) are considered as the prospective multiple antenna technologies for beyond the fifth-generation (5G) networks. Cell-free MIMO systems powered by IRSs, combining both technologies, can further improve the performance of cell-free MIMO systems at low cost and energy consumption. Prior works focused on instantaneous performance metrics and relied on alternating optimization algorithms, which impose huge computational complexity and signaling overhead. To address these challenges, we propose a novel two-step algorithm that provides the long-term passive beamformers at the IRSs using statistical channel state information (S-CSI) and short-term active precoders and long-term power allocation at the access points (APs) to maximize the minimum achievable rate. Simulation results verify that the proposed scheme outperforms benchmark schemes and brings a significant performance gain to the cell-free MIMO systems powered by IRSs.
