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Nanosatellite-5G Integration in the Millimeter Wave Domain: A Full Top-Down Approach
IEEE Transactions on Mobile Computing ( IF 7.7 ) Pub Date : 2020-02-01 , DOI: 10.1109/tmc.2019.2897091
Fulvio Babich , Massimiliano Comisso , Alessandro Cuttin , Mario Marchese , Fabio Patrone

This paper presents a novel network architecture for an integrated nanosatellite (nSAT)-5G system operating in the millimeter-wave (mmWave) domain. The architecture is realized adopting a delay/disruption tolerant networking (DTN) approach allowing end users to adopt standard devices. A buffer aware contact graph routing algorithm is designed to account for the buffer occupancy of the nSATs and for the connection planning derived from their visibility periods. At the terrestrial uplink, a coded random access is employed to realize a high-capacity interface for the typically irregular traffic of 5G users, while, at the space uplink, the DTN architecture is combined with the contention resolution diversity slotted Aloha protocol to match the recent update of the DVB-RCS2 standard. To achieve a reliable testing of the introduced functionalities, an accurate analysis of the statistic of the signal to interference-plus-noise ratio and of the capture probability at each mmWave link is developed by including interference, shadowing, fading, and noise. The application of the designed architecture to data transfer services in conjunction with possible delay reduction strategies, and an extension to inter-satellite communication, are finally presented by estimating the resulting loss/delay performance through a discrete-time discrete-event platform based on the integration of Matlab with Network Simulator 3.

中文翻译:

毫米波领域中的纳米卫星 5G 集成:一种完全自上而下的方法

本文介绍了一种用于在毫米波 (mmWave) 域中运行的集成纳米卫星 (nSAT)-5G 系统的新型网络架构。该架构采用延迟/中断容忍网络 (DTN) 方法实现,允许最终用户采用标准设备。缓冲区感知接触图路由算法旨在考虑 nSAT 的缓冲区占用以及从它们的可见性期间得出的连接规划。地面上行采用编码随机接入,为5G用户典型的不规则流量实现大容量接口,而空间上行采用DTN架构结合竞争解决分集时隙Aloha协议,匹配5G用户的典型流量。 DVB-RCS2 标准的最新更新。为了实现对引入功能的可靠测试,通过将干扰、阴影、衰落和噪声包括在内,可以对每个毫米波链路上的信号与干扰加噪声比和捕获概率的统计数据进行准确分析。设计的架构在数据传输服务中的应用以及可能的延迟减少策略,以及对卫星间通信的扩展,最终通过基于离散时间离散事件平台估计由此产生的损失/延迟性能来呈现。 Matlab 与网络模拟器 3 的集成。
更新日期:2020-02-01
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