随机几何学
多输入多输出
波束赋形
遍历理论
光谱效率
信噪比(成像)
拓扑(电路)
干扰(通信)
计算机科学
漫游
遍历性
频道(广播)
数学
数学优化
算法
电信
统计
数学分析
组合数学
作者
Tianwei Hou,Yuanwei Liu,Zhengyu Song,Xiaoying Sun,Yue Chen,Lajos Hanzo
出处
期刊:IEEE Transactions on Vehicular Technology
[Institute of Electrical and Electronics Engineers]
日期:2022-01-01
卷期号:71 (1): 571-582
被引量:16
标识
DOI:10.1109/tvt.2021.3129308
摘要
Intelligent reflective surfaces (IRSs) are invoked for improving both the spectral efficiency (SE) and energy efficiency (EE). Specifically, an IRS-aided multiple-input multiple-output network is considered, where the performance of randomly roaming users is analyzed by utilizing stochastic geometry tools. As such, to distinguish the superposed signals at each user, the passive beamforming weight at the IRSs and detection weight vectors at the users are jointly designed. As a benefit, by adopting a zero-forcing-based design, the intra-cell interference imposed by the IRS can be suppressed. In order to evaluate the performance of the proposed network, we first derive the approximated channel statistics in the high signal-to-noise-ratio (SNR) regime. Then, we derive the closed-form expressions both for the outage probability and for the ergodic rate of users. Both the high-SNR slopes of ergodic rate and the diversity orders of outage probability are derived for gleaning further insights. The network's SE and EE are also derived. Our numerical results are provided to confirm that: i) the high-SNR slope of the proposed network is one; ii) the SE and EE can be significantly enhanced by increasing the number of IRS elements.
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