PELE: Power Efficient Legitimate Eavesdropping via Jamming in UAV Communications

被引:0
|
作者
Wang, Xiaoming [1 ,2 ]
Li, Kai [3 ]
Kanhere, Salil S. [4 ]
Li, Demin [1 ]
Zhang, Xiaolu [1 ]
Tovar, Eduardo [3 ]
机构
[1] Donghua Univ, Coll Informat Sci & Technol, Shanghai, Peoples R China
[2] Earthquake Adm Shanghai Municipal, Shanghai, Peoples R China
[3] CISTER Res Unit, Porto, Portugal
[4] Univ New South Wales, Sch Comp Sci & Engn, Kensington, NSW, Australia
关键词
UAV; Power Efficiency; Eavesdropping; Jamming; WIRETAP CHANNELS;
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
We consider a wireless information surveillance in UAV network, where a legitimate unmanned aerial vehicle (UAV) proactively eavesdrops communication between two suspicious UAVs. However, challenges arise due to lossy airborne channels and limited power of the UAV. In this paper, we study an emerging legitimate eavesdropping paradigm that the legitimate UAV improves the eavesdropping performance via jamming the suspicious communication. Moreover, a power efficient legitimate eavesdropping scheme, PELE, is proposed to maximize the number of eavesdropped packets from the legitimate UAV while maintaining a target signal to interference plus noise ratio at the suspicious link. Numerical results are shown to validate the performance of PELE. Additionally, four typical fading channel models are applied to the network so as to investigate their impact on PELE.
引用
收藏
页码:402 / 408
页数:7
相关论文
共 50 条
  • [21] Proactive Eavesdropping in UAV Systems Via Trajectory Planning and Power Optimization
    Huang, Mengya
    Chen, Yu
    Tao, Xiaofeng
    2021 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE WORKSHOPS (WCNCW), 2021,
  • [22] Proactive Eavesdropping via Pilot Contamination and Jamming
    Linqing Wan
    Guangchi Zhang
    Miao Cui
    Fan Lin
    Wireless Personal Communications, 2018, 99 : 1405 - 1421
  • [23] RIS-Assisted Robust Beamforming for UAV Anti-Jamming and Eavesdropping Communications: A Deep Reinforcement Learning Approach
    Zou, Chao
    Li, Cheng
    Li, Yong
    Yan, Xiaojuan
    ELECTRONICS, 2023, 12 (21)
  • [24] Proactive Eavesdropping via Pilot Contamination and Jamming
    Wan, Linqing
    Zhang, Guangchi
    Cui, Miao
    Lin, Fan
    WIRELESS PERSONAL COMMUNICATIONS, 2018, 99 (03) : 1405 - 1421
  • [25] Proactive Eavesdropping via Jamming in NOMA Network
    Tung Pham Huu
    Van Nhan Vo
    Hung Tran
    Truong Xuan Quach
    Viet Nguyen Dinh
    IEEE ACCESS, 2021, 9 : 168121 - 168133
  • [26] Secrecy Rate Maximization with Gridded UAV Swarm Jamming for passive Eavesdropping
    Nnamani, Christantus O.
    Khandaker, Muhammad R. A.
    Sellathurai, Mathini
    2021 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), 2021,
  • [27] Maxmin Fairness for UAV-Enabled Proactive Eavesdropping With Jamming Over Distributed Transmit Beamforming-Based Suspicious Communications
    Hu, Guojie
    Li, Zan
    Si, Jiangbo
    Xu, Kui
    Xu, Donghui
    Cai, Yunlong
    Al-Dhahir, Naofal
    IEEE TRANSACTIONS ON COMMUNICATIONS, 2023, 71 (03) : 1595 - 1614
  • [28] Towards Power-Efficient Aerial Communications via Dynamic Multi-UAV Cooperation
    Xiang, Lin
    Lei, Lei
    Chatzinotas, Symeon
    Ottersten, Bjorn
    Schober, Robert
    2020 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC), 2020,
  • [29] Wireless Surveillance via Proactive Eavesdropping and Rotated Jamming
    Xu, Hongbin
    Sun, Li
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2019, 68 (11) : 10713 - 10727
  • [30] Proactive Eavesdropping via Jamming in Cognitive Radio Networks
    Li, Pei
    Zhang, Haiyang
    Wu, Wei
    Dai, Haibo
    Wang, Baoyun
    2018 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), 2018,