论文标题
具有比例率约束的味o系统的可重构智能表面
Reconfigurable Intelligent Surface for MISO Systems with Proportional Rate Constraints
论文作者
论文摘要
本文研究了可重新配置的智能表面（RIS）多源多输入单输出（MISO）系统中的系统光谱效率（SE），其中RIS可以通过大量可控且智能的相位变速器重新配置传播环境。为了探索系统的性能行为，用用户比例公平对这种系统进行了优化问题，以在非线性比例速率公平约束下共同考虑基站（BS）的功率分配（BS）和RIS的相移来提出优化问题。为了解决非convex优化问题，开发了有效的解决方案，该解决方案在具有封闭形式表达式的迭代算法上大写，即替代优化BS处的发射功率和RIS的反射相位变化。提供数值模拟来验证理论分析并评估所提出的替代算法的性能。
This paper investigates the system spectral efficiency (SE) in reconfigurable intelligent surface (RIS)-aided multiuser multiple-input single-output (MISO) systems, where RIS can reconfigure the propagation environment via a large number of controllable and intelligent phase shifters. In order to explore the system SE performance behavior with user proportional fairness for such a system, an optimization problem is formulated to maximize the SE by jointly considering the power allocation at the base station (BS) and phase shift at the RIS, under nonlinear proportional rate fairness constraints. To solve the nonconvex optimization problem, an effective solution is developed, which capitalizes on an iterative algorithm with closed-form expressions, i.e., alternatively optimizing the transmit power at the BS and the reflecting phase shift at the RIS. Numerical simulations are provided to validate the theoretical analysis and assess the performance of the proposed alternative algorithm.
