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arXiv 2007.10769cs.ITmath.IT
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智能反射面辅助无线通信中的中断约束鲁棒波束形成

Outage-Constrained Robust Beamforming for Intelligent Reflecting Surface Aided Wireless Communication

Ming-Min Zhao, An Liu, Rui Zhang

摘要:

在智能反射面(IRS)辅助的无线通信系统中,信道状态信息(CSI)是实现其有前途的无源波束形成增益的关键。然而,CSI误差在实践中是不可避免的,并且由于具有离散相移的有限训练而通常在IRS反射元件上相关,这降低了数据传输速率和可靠性。本文重点研究了IRS辅助多用户下行通信系统中CSI错误对中断性能的影响。具体来说,我们的目标是联合优化的接入点(AP)和被动离散相移在IRS的主动发送预编码向量,以尽量减少AP的发射功率,受约束的最大CSI错误引起的中断概率为用户。首先,我们考虑单用户的情况下,并推导出用户的中断概率的平均信号功率(MSP)和方差的接收信号在用户。由于有一个权衡调整这两个参数,以最大限度地减少中断概率,我们建议最大限度地提高他们的加权和与一维搜索找到的最佳权重。然后,针对一般多用户情况下,由于用户间干扰的存在,用户中断概率很难以封闭形式得到的问题,提出了一种新的约束随机连续凸近似(CSSCA)算法,该算法用适当设计的凸代理近似代替非凸中断概率约束。仿真结果验证了所提出的鲁棒波束形成算法的有效性,并显示其显着的性能改善各种基准计划。

英文摘要:

In intelligent reflecting surface (IRS) aided wireless communication systems, channel state information (CSI) is crucial to achieve its promising passive beamforming gains. However, CSI errors are inevitable in practice and generally correlated over the IRS reflecting elements due to the limited training with discrete phase shifts, which degrade the data transmission rate and reliability. In this paper, we focus on investigating the effect of CSI errors to the outage performance in an IRS-aided multiuser downlink communication system. Specifically, we aim to jointly optimize the active transmit precoding vectors at the access point (AP) and passive discrete phase shifts at the IRS to minimize the AP's transmit power, subject to the constraints on the maximum CSI-error induced outage probability for the users. First, we consider the single-user case and derive the user's outage probability in terms of the mean signal power (MSP) and variance of the received signal at the user. Since there is a trade-off in tuning these two parameters to minimize the outage probability, we propose to maximize their weighted sum with the optimal weight found by one-dimensional search. Then, for the general multiuser case, since the users' outage probabilities are difficult to obtain in closed-form due to the inter-user interference, we propose a novel constrained stochastic successive convex approximation (CSSCA) algorithm, which replaces the non-convex outage probability constraints with properly designed convex surrogate approximations. Simulation results verify the effectiveness of the proposed robust beamfoming algorithms and show their significant performance improvement over various benchmark schemes.

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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