{"title":"The SINR Meta Distribution in UAV Swarm Networks With Distributed Election Multiple Access","authors":"Yanan Liang;Xu Li;Mingqiang Yang;Fanyi Meng","doi":"10.1109/LCOMM.2025.3578372","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 8","pages":"1879-1883"},"PeriodicalIF":4.4000,"publicationDate":"2025-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Communications Letters","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/11029209/","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"TELECOMMUNICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
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.
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.