{"title":"干扰情况下无人机辅助蜂窝网络的效率","authors":"Mohammad Arif, Wooseong Kim","doi":"10.1016/j.vehcom.2024.100833","DOIUrl":null,"url":null,"abstract":"<div><p>The wireless signal that intentionally disrupts the communication is described as the jamming signal. Clustered jamming is the use of jamming signals of the devices that are clustered in groups, whereas non-clustered jamming refers to the use of the jamming signals of the spatially distributed devices that are un-clustered. The efficiency of the unmanned aerial vehicle (UAV)-assisted cellular networks compromises in the presence of clustered as well as non-clustered jammers. Furthermore, the UAV's antenna 3D beam-width vibrates due to strong atmospheric wind, atmospheric pressure, or mechanical noise influencing UAV-assisted networks' efficiency. Thus, the efficiency characterization of UAV-assisted networks considering jamming and beam-width variations is essential. This paper concentrates on the efficiency of the user equipment's connection with the line-of-sight (LOS) UAV, non-LOS UAV, and cellular base station in terms of association, coverage, and spectrum in the presence of clustered as well as non-clustered jammers and beam-width variations. For a network consisting of jammers and beam-width variations, the analytical expressions are derived to assess the user's association and coverage efficiency. The results show that the network's efficiency decreases drastically with the increasing beam-width variations. Moreover, the non-clustered jamming reduces the efficiency of the networks much more when compared with the clustered jamming. Therefore, to enhance the efficiency of the system; network designers need to consider implementing advanced anti-jamming techniques for a system employing non-clustered jamming and UAV antenna beam-width variations.</p></div>","PeriodicalId":54346,"journal":{"name":"Vehicular Communications","volume":"49 ","pages":"Article 100833"},"PeriodicalIF":5.8000,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Efficiency of UAV-assisted cellular networks under jamming scenarios\",\"authors\":\"Mohammad Arif, Wooseong Kim\",\"doi\":\"10.1016/j.vehcom.2024.100833\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The wireless signal that intentionally disrupts the communication is described as the jamming signal. Clustered jamming is the use of jamming signals of the devices that are clustered in groups, whereas non-clustered jamming refers to the use of the jamming signals of the spatially distributed devices that are un-clustered. The efficiency of the unmanned aerial vehicle (UAV)-assisted cellular networks compromises in the presence of clustered as well as non-clustered jammers. Furthermore, the UAV's antenna 3D beam-width vibrates due to strong atmospheric wind, atmospheric pressure, or mechanical noise influencing UAV-assisted networks' efficiency. Thus, the efficiency characterization of UAV-assisted networks considering jamming and beam-width variations is essential. This paper concentrates on the efficiency of the user equipment's connection with the line-of-sight (LOS) UAV, non-LOS UAV, and cellular base station in terms of association, coverage, and spectrum in the presence of clustered as well as non-clustered jammers and beam-width variations. For a network consisting of jammers and beam-width variations, the analytical expressions are derived to assess the user's association and coverage efficiency. The results show that the network's efficiency decreases drastically with the increasing beam-width variations. Moreover, the non-clustered jamming reduces the efficiency of the networks much more when compared with the clustered jamming. Therefore, to enhance the efficiency of the system; network designers need to consider implementing advanced anti-jamming techniques for a system employing non-clustered jamming and UAV antenna beam-width variations.</p></div>\",\"PeriodicalId\":54346,\"journal\":{\"name\":\"Vehicular Communications\",\"volume\":\"49 \",\"pages\":\"Article 100833\"},\"PeriodicalIF\":5.8000,\"publicationDate\":\"2024-07-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Vehicular Communications\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2214209624001086\",\"RegionNum\":2,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"TELECOMMUNICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Vehicular Communications","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2214209624001086","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"TELECOMMUNICATIONS","Score":null,"Total":0}
Efficiency of UAV-assisted cellular networks under jamming scenarios
The wireless signal that intentionally disrupts the communication is described as the jamming signal. Clustered jamming is the use of jamming signals of the devices that are clustered in groups, whereas non-clustered jamming refers to the use of the jamming signals of the spatially distributed devices that are un-clustered. The efficiency of the unmanned aerial vehicle (UAV)-assisted cellular networks compromises in the presence of clustered as well as non-clustered jammers. Furthermore, the UAV's antenna 3D beam-width vibrates due to strong atmospheric wind, atmospheric pressure, or mechanical noise influencing UAV-assisted networks' efficiency. Thus, the efficiency characterization of UAV-assisted networks considering jamming and beam-width variations is essential. This paper concentrates on the efficiency of the user equipment's connection with the line-of-sight (LOS) UAV, non-LOS UAV, and cellular base station in terms of association, coverage, and spectrum in the presence of clustered as well as non-clustered jammers and beam-width variations. For a network consisting of jammers and beam-width variations, the analytical expressions are derived to assess the user's association and coverage efficiency. The results show that the network's efficiency decreases drastically with the increasing beam-width variations. Moreover, the non-clustered jamming reduces the efficiency of the networks much more when compared with the clustered jamming. Therefore, to enhance the efficiency of the system; network designers need to consider implementing advanced anti-jamming techniques for a system employing non-clustered jamming and UAV antenna beam-width variations.
期刊介绍:
Vehicular communications is a growing area of communications between vehicles and including roadside communication infrastructure. Advances in wireless communications are making possible sharing of information through real time communications between vehicles and infrastructure. This has led to applications to increase safety of vehicles and communication between passengers and the Internet. Standardization efforts on vehicular communication are also underway to make vehicular transportation safer, greener and easier.
The aim of the journal is to publish high quality peer–reviewed papers in the area of vehicular communications. The scope encompasses all types of communications involving vehicles, including vehicle–to–vehicle and vehicle–to–infrastructure. The scope includes (but not limited to) the following topics related to vehicular communications:
Vehicle to vehicle and vehicle to infrastructure communications
Channel modelling, modulating and coding
Congestion Control and scalability issues
Protocol design, testing and verification
Routing in vehicular networks
Security issues and countermeasures
Deployment and field testing
Reducing energy consumption and enhancing safety of vehicles
Wireless in–car networks
Data collection and dissemination methods
Mobility and handover issues
Safety and driver assistance applications
UAV
Underwater communications
Autonomous cooperative driving
Social networks
Internet of vehicles
Standardization of protocols.