分布式选举多址无人机群网络中SINR元分布

IF 4.4 3区计算机科学 Q2 TELECOMMUNICATIONS

IEEE Communications Letters Pub Date : 2025-06-10 DOI:10.1109/LCOMM.2025.3578372

Yanan Liang;Xu Li;Mingqiang Yang;Fanyi Meng

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引用次数: 0

摘要

本文研究了采用分布式选举多址的无人机群网络中的信噪比元分布。我们开发了一个SINR元分布的分析框架，其中包括路径损耗、Nakagami-m衰落和网络自干扰。导出了条件成功概率矩，得到了平均成功概率及其方差。考虑到确定精确元分布的计算复杂性，我们应用了广泛使用的beta近似，并验证了其在各种网络参数中的有效性。理论和仿真结果揭示了节点密度、维护范围和传输范围对网络可靠性和效率的影响。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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The SINR Meta Distribution in UAV Swarm Networks With Distributed Election Multiple Access

This work investigates the signal-to-interference-plus-noise ratio (SINR) meta distribution in UAV swarm networks employing distributed election multiple access. We develop an analytical framework for the SINR meta distribution, incorporating path loss, Nakagami-m fading, and network self-interference. We derive the moments of the conditional success probability, from which both the average success probability and its variance are obtained. Given the computational complexity of determining the exact meta distribution, we apply the widely used beta approximation and validate its effectiveness across various network parameters. Theoretical and simulation results offer insight into the impacts of node density, maintenance scope, and transmission range on the network reliability and efficiency.

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来源期刊

IEEE Communications Letters 工程技术-电信学

CiteScore

8.10

自引率

7.30%

发文量

590

审稿时长

2.8 months

期刊介绍： The IEEE Communications Letters publishes short papers in a rapid publication cycle on advances in the state-of-the-art of communication over different media and channels including wire, underground, waveguide, optical fiber, and storage channels. Both theoretical contributions (including new techniques, concepts, and analyses) and practical contributions (including system experiments and prototypes, and new applications) are encouraged. This journal focuses on the physical layer and the link layer of communication systems.