论文标题
IRS辅助通信系统具有用户位置不确定性的强大设计
Robust Design for IRS-Aided Communication Systems with User Location Uncertainty
论文作者
论文摘要
在本文中，我们在存在用户位置不确定性的情况下为IRS辅助通信系统提出了一个强大的设计框架。通过在BS处共同设计发射光束成型向量并在IRS处设计相位移位，我们的目标是最大程度地减少发射功率，但要受到较差的服务质量（QOS）约束，即确保用户速率超过所有可能的用户位置误差实现的阈值。对于单位模式，此问题不是凸。 QoS约束的位置不确定性进一步增加了解决此问题的困难。通过利用泰勒膨胀，S生产和半芬矿弛豫（SDP）的技术，我们将此问题转化为一系列半决赛编程（SDP）子问题。仿真结果表明，所提出的鲁棒算法基本上优于文献中提出的非持bust算法，就达到所需的QoS目标的概率而言。
In this paper, 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.
