基于无人机的混合衰落信道译码和前向合作的中断和速率评估

IF 0.6 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Journal of Communications Software and Systems Pub Date : 2021-01-01 DOI:10.24138/JCOMSS-2020-0013
Nikita Goel, Vrinda Gupta
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引用次数: 0

摘要

在即将到来的无线网络中,我们考虑无人机作为协同通信(CC)中的中继来提高网络性能。当中央协调器(基站)被干扰时,无人机辅助控制(DACC)更有用。在这种情况下,无人机作为空中中继器工作,并为最终用户提供CC多样性。在本文中,在无人机上使用解码转发(DF)协议作为中继方案,在最终用户上使用最大比率组合(MRC)方案来组合直接和中继信号。在这里,我们假设空对地(A2G)链路之间的中上衰落信道和地对地(G2G)链路之间的瑞利衰落分布。在混合信道环境下对DA-CC的性能进行了评估,并基于无人机高度、速率、水平距离和发射功率与现有的瑞利和Nakagami衰落分布进行了比较。为了便于分析,推导了中断概率和中断率的解析表达式,并用蒙特卡罗模拟对分析结果进行了验证。这项工作可以在没有中央基站的情况下具有安全和监控应用,以提高网络性能。
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Outage and Rate Evaluation of Drone based Decode and Forward Cooperation for Hybrid Fading Channels
—In this paper, we consider a drone as a relay in Co-operative Communication (CC) to improve the network performance in an upcoming wireless network. Drone Assisted CC (DA-CC) is more useful when the central coordinator (base station) gets disrupted. In such a scenario, the drone works as an aerial relay and provides CC diversity to the end-users. In this article, a Decode-and-Forward (DF) protocol is used as a relaying scheme at the drone, and the Maximal Ratio Combining (MRC) scheme is used at the end-users for combining the direct and relayed signal. Here, we assume Nakagami faded channel among Air-to-Ground (A2G) links and Rayleigh faded distribution between Ground-to-Ground (G2G) links. The performance of DA-CC is evaluated in a hybrid channel environment and compared based on drone height, rate, horizontal distance, and transmitted power with the existing Rayleigh and Nakagami faded distributions. The analytical expression of outage probability and the rate have been derived for analysis purposes, and Monte-Carlo simulations are used to verify the analytical results. This work can have security and surveillance applications to improve the network performance in the absence of a central base station.
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来源期刊
Journal of Communications Software and Systems
Journal of Communications Software and Systems Engineering-Electrical and Electronic Engineering
CiteScore
2.00
自引率
14.30%
发文量
28
审稿时长
8 weeks
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