论文标题
CSI不完美的RIS AID的最差案例设计
Worst-case Design for RIS-aided Over-the-air Computation with Imperfect CSI
论文作者
论文摘要
直播计算（AIRCOMP）通过传感器在应用程序应用（IOT）中的并发传输（IOT）的同时传输来实现接收器的快速无线数据聚合。为了进一步提高在不利的繁殖通道条件下AIRCOMP的性能，我们考虑了可重构智能表面（RIS）辅助AIRCOMP系统中计算失真最小化的问题。特别是，我们考虑了通道状态信息（CSI）和总功率约束的加法不确定性，并从最大程度地减少计算的平均平方误差（MSE）的角度，共同优化收发器（TX-RX）和RIS相位设计。为了解决这个棘手的非凸问题，我们开发了一种有效的交替算法，其中均以封闭形式获得了可靠的子问题的解决方案和TX-RX和RIS的关节设计的解决方案。仿真结果证明了该方法的有效性。
Over-the-air computation (AirComp) enables fast wireless data aggregation at the receiver through concurrent transmission by sensors in the application of Internet-of-Things (IoT). To further improve the performance of AirComp under unfavorable propagation channel conditions, we consider the problem of computation distortion minimization in a reconfigurable intelligent surface (RIS)-aided AirComp system. In particular, we take into account an additive bounded uncertainty of the channel state information (CSI) and the total power constraint, and jointly optimize the transceiver (Tx-Rx) and the RIS phase design from the perspective of worst-case robustness by minimizing the mean squared error (MSE) of the computation. To solve this intractable nonconvex problem, we develop an efficient alternating algorithm where both solutions to the robust sub-problem and to the joint design of Tx-Rx and RIS are obtained in closed forms. Simulation results demonstrate the effectiveness of the proposed method.
