Performance Analysis of Large Intelligent Surfaces (LISs): Asymptotic Data Rate and Channel Hardening Effects
Performance Analysis of Large Intelligent Surfaces (LISs): Asymptotic Data Rate and Channel Hardening Effects
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DOI：
10.1109/twc.2019.2961990
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发表时间：
2020-03-01
影响因子：
10.4
通讯作者：
Choi, Sooyong
中科院分区：
文献类型：
--
作者：
Jung, Minchae;Saad, Walid;Choi, Sooyong
大型智能表面（LIS）的概念最近作为一种有前景的无线通信范例出现，可以利用人造结构的整个表面来传输和接收信息。 LIS 预计将超越大规模多输入多输出 (MIMO) 系统，因为所需的通道可以建模为完美的视线。要了解基本性能优势，必须分析实际 LIS 环境和限制下可实现的数据速率。本文提出了基于 LIS 的大型天线阵列系统中上行链路数据速率的渐近分析。特别地，渐进LIS速率是在实际无线环境中导出的，其中LIS上的估计信道受到估计误差的影响，干扰信道是空间相关的莱斯衰落信道，并且LIS经历硬件损伤。此外，还分析了通道硬化效应的发生，并渐近推导出所考虑的 LIS 系统的性能界限。随着天线和设备数量的无限增加，分析渐近结果与精确的互信息非常一致。此外，得出的遍历率表明，随着天线数量的增加，硬件损伤、噪声以及估计误差和非视距路径的干扰变得可以忽略不计。仿真结果表明，LIS 可以实现与传统大规模 MIMO 相当的性能，同时提高可靠性并显着减少天线部署面积。
The concept of a large intelligent surface (LIS) has recently emerged as a promising wireless communication paradigm that can exploit the entire surface of man-made structures for transmitting and receiving information. An LIS is expected to go beyond massive multiple-input multiple-output (MIMO) system, insofar as the desired channel can be modeled as a perfect line-of-sight. To understand the fundamental performance benefits, it is imperative to analyze its achievable data rate, under practical LIS environments and limitations. In this paper, an asymptotic analysis of the uplink data rate in an LIS-based large antenna-array system is presented. In particular, the asymptotic LIS rate is derived in a practical wireless environment where the estimated channel on LIS is subject to estimation errors, interference channels are spatially correlated Rician fading channels, and the LIS experiences hardware impairments. Moreover, the occurrence of the channel hardening effect is analyzed and the performance bound is asymptotically derived for the considered LIS system. The analytical asymptotic results are then shown to be in close agreement with the exact mutual information as the number of antennas and devices increase without bounds. Moreover, the derived ergodic rates show that hardware impairments, noise, and interference from estimation errors and the non-line-of-sight path become negligible as the number of antennas increases. Simulation results show that an LIS can achieve a performance that is comparable to conventional massive MIMO with improved reliability and a significantly reduced area for antenna deployment.