论文标题
RIS AID的上行链路通信的最大数据速率优化具有绿色约束
Max-Min Data Rate Optimization for RIS-aided Uplink Communications with Green Constraints
论文作者
论文摘要
智能无线电环境通过可重新配置的智能反射表面（RIS）的帮助，最近引起了很多研究的关注。我们提出了一个联合优化策略，用于横向形成，RIS阶段和功率分配，以最大程度地提高上行链路RIS辅助通信系统的最低SINR。用户受到发射功率的限制。我们为梁形成向量的封闭形式表达式和基于几何编程的电源分配解决方案。我们还提出了两种解决方案，以优化RIS处的相移，一种基于矩阵提升方法，一种基于最小函数的近似值。我们还提出了一种启发式算法，以优化量化的相移值。对于最大允许电磁场暴露的系统，所提出的算法对于具有限制的系统具有实际利益。例如，考虑到$ 24 $ element RI，$ 12 $ -Antenna bs和6美元的用户，数值结果表明，与随机RIS相比，该算法在最低SINR方面达到了接近$ 300 \％$的收益。
Smart radio environments aided by reconfigurable intelligent reflecting surfaces (RIS) have attracted much research attention recently. We propose a joint optimization strategy for beamforming, RIS phases, and power allocation to maximize the minimum SINR of an uplink RIS-aided communication system. The users are subject to constraints on their transmit power. We derive a closed-form expression for the beam forming vectors and a geometric programming-based solution for power allocation. We also propose two solutions for optimizing the phase shifts at the RIS, one based on the matrix lifting method and one using an approximation for the minimum function. We also propose a heuristic algorithm for optimizing quantized phase shift values. The proposed algorithms are of practical interest for systems with constraints on the maximum allowable electromagnetic field exposure. For instance, considering $24$-element RIS, $12$-antenna BS, and $6$ users, numerical results show that the proposed algorithm achieves close to $300 \%$ gain in terms of minimum SINR compared to a scheme with random RIS phases.
