Suppr超能文献

混合卫星-地面中继网络:功率分割多址的提出模型与应用。

Hybrid Satellite-Terrestrial Relay Network: Proposed Model and Application of Power Splitting Multiple Access.

机构信息

Department of Computer Science and Information Engineering, College of Information and Electrical Engineering, Asia University, Taichung City 41354, Taiwan.

Faculty of Electronics Technology, Industrial University of Ho Chi Minh City (IUH), Ho Chi Minh City 700000, Vietnam.

出版信息

Sensors (Basel). 2020 Aug 1;20(15):4296. doi: 10.3390/s20154296.

Abstract

The development of hybrid satellite-terrestrial relay networks (HSTRNs) is one of the driving forces for revolutionizing satellite communications in the modern era. Although there are many unique features of conventional satellite networks, their evolution pace is much slower than the terrestrial wireless networks. As a result, it is becoming more important to use HSTRNs for the seamless integration of terrestrial cellular and satellite communications. With this intent, this paper provides a comprehensive performance evaluation of HSTRNs employing non-orthogonal multiple access technique. The terrestrial relay is considered to be wireless-powered and harvests energy from the radio signal of the satellite. For the sake of comparison, both amplify-and-forward (AF) and decode-and-forward (DF) relaying protocols are considered. Subsequently, the closed-form expressions of outage probabilities and ergodic capacities are derived for each relaying protocol. Extensive simulations are performed to verify the accuracy of the obtained closed-form expressions. The results provided in this work characterize the outage and capacity performance of such a HSTRN.

摘要

混合卫星-地面中继网络(HSTRN)的发展是推动现代卫星通信革命的动力之一。虽然传统卫星网络具有许多独特的特点,但其发展速度比地面无线网络慢得多。因此,利用 HSTRN 实现地面蜂窝和卫星通信的无缝集成变得越来越重要。为此,本文对采用非正交多址技术的 HSTRN 进行了全面的性能评估。假设地面中继器是无线供电的,并且从卫星的无线电信号中获取能量。为了进行比较,同时考虑了放大转发(AF)和译码转发(DF)两种中继协议。然后,推导出了每种中继协议的中断概率和遍历容量的闭式表达式。通过广泛的仿真验证了所得到的闭式表达式的准确性。本文的研究结果描述了这种 HSTRN 的中断和容量性能。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cae0/7435719/7aee2831fc4f/sensors-20-04296-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验