论文标题
当RIS遇到GEO卫星通信时:6G中的新的可持续优化框架
When RIS Meets GEO Satellite Communications: A New Sustainable Optimization Framework in 6G
论文作者
论文摘要
反映智能表面(RIS)是一种低成本和节能的解决方案,可在第六代(6G)网络中实现高光谱效率。 RI的基本思想是通过使用被动反射元素巧妙地重新配置信号传播。另一方面,高吞吐量地静止(GEO)卫星通信(SATCOM)的需求正在迅速增长,以在无法访问/不足的地面网络领域提供宽带服务。本文提出了一个GEO SATCOM网络,其中卫星使用多载波通信将信号传输到地面移动终端。为了增强有效增益,RIS还可以巧妙地将信号的相位转移到地面端子上,从卫星到地面移动终端的信号传递。我们认为RIS安装在高建筑物上,并配备了多个可重新配置的被动元素以及智能控制器。我们共同优化功率分配和相移设计,以最大程度地提高系统的通道容量。由于耦合变量,很难通过传统的凸优化方法来解决联合优化问题为非凸。因此,我们提出了一种新的$ε-$最佳算法,该算法基于网格自适应直接搜索以获得有效的解决方案。模拟结果揭示了RIS辅助SATCOM在系统渠道容量方面的好处。
Reflecting intelligent surfaces (RIS) is a low-cost and energy-efficient solution to achieve high spectral efficiency in sixth-generation (6G) networks. The basic idea of RIS is to smartly reconfigure the signal propagation by using passive reflecting elements. On the other side, the demand of high throughput geostationary (GEO) satellite communications (SatCom) is rapidly growing to deliver broadband services in inaccessible/insufficient covered areas of terrestrial networks. This paper proposes a GEO SatCom network, where a satellite transmits the signal to a ground mobile terminal using multicarrier communications. To enhance the effective gain, the signal delivery from satellite to the ground mobile terminal is also assisted by RIS which smartly shift the phase of the signal towards ground terminal. We consider that RIS is mounted on a high building and equipped with multiple re-configurable passive elements along with smart controller. We jointly optimize the power allocation and phase shift design to maximize the channel capacity of the system. The joint optimization problem is formulated as nonconvex due to coupled variables which is hard to solve through traditional convex optimization methods. Thus, we propose a new $ε-$optimal algorithm which is based on Mesh Adaptive Direct Search to obtain an efficient solution. Simulation results unveil the benefits of RIS-assisted SatCom in terms of system channel capacity.