论文标题
5G LEO系统中的位置辅助预编码:体系结构和性能
Location-assisted precoding in 5G LEO systems: architectures and performances
论文作者
论文摘要
卫星通信系统是支持欧洲雄心勃勃的基本组成部分,以部署智能和可持续性的网络和服务,以取得数字经济的成功。为了应对5G并超出对更大的吞吐量,攻击性频率重复使用方案(即全频率重用)的需求,并通过实施预编码/波束形成以应对大规模的共同通道干扰,被认为是关键技术之一。虽然可以通过发射机的通道状态信息(CSI)获得最佳性能,但这也带来了一些与信号和同步有关的技术挑战。在本文中,我们专注于仅需要在发射器端的用户位置知识的预编码解决方案,即最近引入的可切换多光束(MB)和空间采样的MMSE(SS-MMSE)预编码。与文献中绝大多数研究相比,我们同时考虑了用户和卫星运动在低地球轨道(LEO)巨型构造中,也提出了两个系统体系结构。与最佳MMSE解决方案相比,广泛的数值评估对这两种预码方案的性能提供了宝贵的见解。
Satellite communication systems are a fundamental component in support of Europe's ambition to deploy smart and sustainable networks and services for the success of its digital economy. To cope with the 5G and beyond ever increasing demand for larger throughput, aggressive frequency reuse schemes (i.e., full frequency reuse), with the implementation of precoding/beamforming to cope with the massive co-channel interference, are recognised as one of the key technologies. While the best performance can be obtained with the knowledge of the Channel State Information (CSI) at the transmitter, this also poses some technical challenges related to signalling and synchronisation. In this paper, we focus on precoding solutions that only needs the knowledge of the users' positions at the transmitter side, namely the recently introduced Switchable Multi-Beam (MB) and Spatially Sampled MMSE (SS-MMSE) precoding. Compared to the vast majority of the studies in the literature, we take into account both the users' and the satellite movement in a Low Earth Orbit (LEO) mega-constellation, also proposing two system architectures. The extensive numerical assessment provides a valuable insight on the performance of these two precoding schemes compared to the optimal MMSE solution.