论文标题
通过多个可空气配置的智能表面通过多种空中重新配置的沟通网络：DRL和优化方法
Energy-Efficient Communication Networks via Multiple Aerial Reconfigurable Intelligent Surfaces: DRL and Optimization Approach
论文作者
论文摘要
在5G，6G及以后的无线通信领域中，部署无人机（UAV）是一种创新的方法，可以扩展覆盖面积，因为其易于部署。此外，可重新配置的智能表面（RIS）也已成为一种新的范式，其目标是提高平均总和速率和能源效率。通过结合这些有吸引力的功能，研究了一种节能的RIS安装的多个无人机（空中RISS：ARISS）辅助下行链路通信系统。由于障碍物，用户设备（UES）可以与基站（BS）通信的视线差。为了解决这个问题，实施了多次损害以协助BS和UES之间的沟通。然后，制定了ARIS部署的联合优化问题，ARIS反射元素ON/OFF状态，相位移位以及多个损坏的通信系统的功率控制。由于它是混合企业，非凸和NP-HARD，因此问题具有挑战性。为了克服这一点，它被分解为三个子问题。之后，采用连续的凸近似（SCA），参与者 - 批评近端策略优化（AC-PPO）和鲸鱼优化算法（WOA），也可以另外解决这些子问题。最后，已经产生了广泛的仿真结果，以说明我们提出的算法的功效。
In the realm of wireless communications in 5G, 6G and beyond, deploying unmanned aerial vehicle (UAV) has been an innovative approach to extend the coverage area due to its easy deployment. Moreover, reconfigurable intelligent surface (RIS) has also emerged as a new paradigm with the goals of enhancing the average sum-rate as well as energy efficiency. By combining these attractive features, an energy-efficient RIS-mounted multiple UAVs (aerial RISs: ARISs) assisted downlink communication system is studied. Due to the obstruction, user equipments (UEs) can have a poor line of sight to communicate with the base station (BS). To solve this, multiple ARISs are implemented to assist the communication between the BS and UEs. Then, the joint optimization problem of deployment of ARIS, ARIS reflective elements on/off states, phase shift, and power control of the multiple ARISs-assisted communication system is formulated. The problem is challenging to solve since it is mixed-integer, non-convex, and NP-hard. To overcome this, it is decomposed into three sub-problems. Afterwards, successive convex approximation (SCA), actor-critic proximal policy optimization (AC-PPO), and whale optimization algorithm (WOA) are employed to solve these sub-problems alternatively. Finally, extensive simulation results have been generated to illustrate the efficacy of our proposed algorithms.
