Efficiency of UAV-assisted cellular networks under jamming scenarios

IF 5.8 2区 计算机科学 Q1 TELECOMMUNICATIONS Vehicular Communications Pub Date : 2024-07-26 DOI:10.1016/j.vehcom.2024.100833
Mohammad Arif, Wooseong Kim
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Abstract

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.

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干扰情况下无人机辅助蜂窝网络的效率
有意干扰通信的无线信号被称为干扰信号。集群干扰是指使用集群设备的干扰信号,而非集群干扰是指使用非集群的空间分布设备的干扰信号。在存在集群干扰器和非集群干扰器的情况下,无人飞行器(UAV)辅助蜂窝网络的效率会受到影响。此外,无人飞行器的天线三维波束宽度会因强风、大气压力或机械噪声而振动,从而影响无人飞行器辅助网络的效率。因此,考虑到干扰和波束宽度的变化,对无人机辅助网络的效率特性进行分析至关重要。本文主要研究在存在集群和非集群干扰器以及波束宽度变化的情况下,用户设备与视距(LOS)无人机、非视距无人机和蜂窝基站在关联、覆盖和频谱方面的连接效率。对于由干扰器和波束宽度变化组成的网络,可以通过分析表达式来评估用户的关联和覆盖效率。结果表明,随着波束宽度变化的增加,网络效率急剧下降。此外,与聚类干扰相比,非聚类干扰对网络效率的降低幅度更大。因此,为了提高系统效率,网络设计人员需要考虑在采用非集群干扰和无人机天线波束宽度变化的系统中采用先进的抗干扰技术。
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来源期刊
Vehicular Communications
Vehicular Communications Engineering-Electrical and Electronic Engineering
CiteScore
12.70
自引率
10.40%
发文量
88
审稿时长
62 days
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.
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