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引用次数: 8

摘要

本文提出了一种设计多波束卫星系统的新方法。它基于这样的假设:终端有能力解码传统彩色多波束卫星系统中任何位置的正交传输链路。终端不仅要解码发送到其所在波束的传输,而且还要解码发送到其相邻波束的传输。关键的观察是,用于这种传输的正交频率和/或极化实际上可以被认为是可用的提供吞吐量,而不是只是浪费。这对于多播场景特别重要。本文对这种方法进行了研究,并推导了多链路接收的解析模型。具体地说,我们得到了每用户终端(UT)、每波束和系统聚合吞吐量的解析表达式。我们假设第二代卫星数字视频广播(DVB-S2)的自适应物理层接收进行了分析。我们表明,对于实际的天线和四色系统,传输到相邻正交波束的频谱效率可以在高达16APSK的宽范围内进行解码。特别是,我们表明,假设接收预期和最强的正交信号以及用户均匀分布,预期波束的频谱效率降低25%,由于多链路接收,频谱效率增加150%,因此可以实现125%的净增益。此外,这项服务将针对更多的用户,而最先进的设计将带来随之而来的收入效益。
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Multi-link reception multibeam satellite system model
In this paper a novel approach is presented for the design of a multibeam satellite system. It is based on the assumption that terminals have the capability to decode the links from the orthogonal transmissions that are present at any location of a conventional coloured multi-beam satellite system. Terminals would not only decode the transmission intended to the beam where it is located but also the transmissions intended to its adjacent beams. The key observation is that orthogonal frequencies and/or polarizations used for such transmissions can actually be considered as available offered throughput instead of being just wasted. This is of particular interest for multicast scenarios. This paper investigates this approach and an analytical model of a multilink reception is derived. Specifically, we obtain analytical expressions for the per user terminal (UT), per beam and system aggregated throughput. We apply the analysis assuming the adaptive physical layer reception of the Digital Video Broadcasting over Satellite 2nd generation (DVB-S2). We show that for a realistic antenna and a four colour system, transmissions intended to the adjacent orthogonal beams can be decoded as spectral efficiencies spread over a wide range up to 16APSK. In particular, we show that assuming reception of both the intended and the strongest orthogonal signal and a uniform distribution of users a spectral efficiency reduction in 25% for the intended beam results in a spectral efficiency increase of 150% due to multi-link reception and so a net gain of 125% can be achieved. Furthermore, the service would target a larger number of users that a state-of-the-art design would do with the consequent revenue benefit.
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