电磁场暴露约束下可重构智能表面的能量效率Optimization
Energy Efficiency Optimization of Reconfigurable Intelligent Surfaces with Electromagnetic Field Exposure Constraints
摘要：
这项工作考虑的问题，能源效率最大化在基于RIS的通信链路，不仅受到传统的最大功率约束，但也有额外的限制，最大限度地暴露于电磁辐射的终端用户。RIS相移，发射波束形成，线性接收滤波器，和发射功率的联合优化，和两个可证明收敛和低复杂度的算法。一种算法可以应用于一般的系统设置，但不能保证全局最优。第二个算法是可证明的最优的一个显着的特殊情况下。数值结果表明，基于RIS的通信可以确保高能源效率，同时满足用户对射频辐射的暴露限制。
英文摘要：
This work considers the problem of energy efficiency maximization in a RIS-based communication link, subject to not only the conventional maximum power constraints, but also additional constraints on the maximum exposure to electromagnetic radiations of the end-users. The RIS phase shifts, the transmit beamforming, the linear receive filter, and the transmit power are jointly optimized, and two provably convergent and low-complexity algorithms are developed. One algorithm can be applied to the general system setups, but does not guarantee global optimality. The second algorithm is provably optimal in a notable special case. The numerical results show that RIS-based communications can ensure high energy efficiency while fulfilling users' exposure constraints to radio frequency emissions.
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