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Robust Design for IRS-Aided Communication Systems with User Location Uncertainty
IEEE Wireless Communications Letters ( IF 6.3 ) Pub Date : 2021-01-01 , DOI: 10.1109/lwc.2020.3020850
Xiaoling Hu , Caijun Zhong , Mohamed-Slim Alouini , Zhaoyang Zhang

In this letter, we propose a robust design framework for IRS-aided communication systems in the presence of user location uncertainty. By jointly designing the transmit beamforming vector at the BS and phase shifts at the IRS, we aim to minimize the transmit power subject to the worse-case quality of service (QoS) constraint, i.e., ensuring the user rate is above a threshold for all possible user location error realizations. With unit-modulus, this problem is not convex. The location uncertainty in the QoS constraint further increases the difficulty of solving this problem. By utilizing techniques of Taylor expansion, S-Procedure and semidefinite relaxation (SDP), we transform this problem into a sequence of semidefinite programming (SDP) sub-problems. Simulation results show that the proposed robust algorithm substantially outperforms the non-robust algorithm proposed in the literature, in terms of probability of reaching the required QoS target.

中文翻译:

具有用户位置不确定性的 IRS 辅助通信系统的稳健设计

在这封信中,我们为存在用户位置不确定性的 IRS 辅助通信系统提出了一个健壮的设计框架。通过联合设计 BS 处的发射波束成形矢量和 IRS 处的相移,我们的目标是最小化受最坏情况服务质量 (QoS) 约束的发射功率,即确保用户速率高于所有阈值可能的用户位置错误实现。对于单位模量,这个问题不是凸的。QoS约束中的位置不确定性进一步增加了解决这个问题的难度。通过利用泰勒展开、S 过程和半定松弛 (SDP) 技术,我们将这个问题转化为一系列半定规划 (SDP) 子问题。
更新日期:2021-01-01
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