论文标题
狮子座卫星网络的分布式大型辅助
Distributed Massive MIMO for LEO Satellite Networks
论文作者
论文摘要
相互连接的卫星的超密集部署将表征未来的低地轨道(LEO)巨型构造。本文将其用于更有效的卫星网络(SATNET),提出了一种基于分布式大量多输入多输出(DM-MIMO)技术的新型LEO SATNET体系结构,允许将地面用户终端连接到一群卫星。为此,我们研究了基于DM-MIMO的卫星网络设计的各个方面,使用此体系结构的好处,相关的挑战和潜在的解决方案。此外,我们提出了一种分布式的关节分配和切换管理(D-JPAHM)技术,该技术以跨层方式共同优化了功率分配和切换管理过程。该框架旨在最大化网络吞吐量并最大程度地降低切换率,同时考虑用户终端的服务质量(QoS)需求和卫星的功率能力。此外,我们设计了一种基于人工智能的解决方案(AI)解决方案,以适合实时操作和动态卫星环境的方式有效地实现所提出的D-JPAHM框架。据我们所知,这是在Leo Satnets中介绍和研究DM-MIMO技术的第一项工作。与文献中的常规方法相比,广泛的仿真结果揭示了所提出的结构和解决方案的优越性。
The ultra-dense deployment of interconnected satellites will characterize future low Earth orbit (LEO) mega-constellations. Exploiting this towards a more efficient satellite network (SatNet), this paper proposes a novel LEO SatNet architecture based on distributed massive multiple-input multiple-output (DM-MIMO) technology allowing ground user terminals to be connected to a cluster of satellites. To this end, we investigate various aspects of DM-MIMO-based satellite network design, the benefits of using this architecture, the associated challenges, and the potential solutions. In addition, we propose a distributed joint power allocation and handover management (D-JPAHM) technique that jointly optimizes the power allocation and handover management processes in a cross-layer manner. This framework aims to maximize the network throughput and minimize the handover rate while considering the quality-of-service (QoS) demands of user terminals and the power capabilities of the satellites. Moreover, we devise an artificial intelligence (AI)-based solution to efficiently implement the proposed D-JPAHM framework in a manner suitable for real-time operation and the dynamic SatNet environment. To the best of our knowledge, this is the first work to introduce and study DM-MIMO technology in LEO SatNets. Extensive simulation results reveal the superiority of the proposed architecture and solutions compared to conventional approaches in the literature.