Results 31 to 40 of about 144,734 (276)

Exploring UAV's multi-domain joint anti-jamming intelligent decision algorithm

open access: yesXibei Gongye Daxue Xuebao, 2021
To understand the complex communication environment of a UAV in battlefield, its unknown channel statistics information and poor intelligent jamming and anti-jamming capability, the multi-domain anti-jamming problem is studied, and a multi-domain joint ...

doaj   +1 more source

Intelligent Reflecting Surface Assisted Anti-Jamming Communications: A Fast Reinforcement Learning Approach

open access: yes, 2020
Malicious jamming launched by smart jammers can attack legitimate transmissions, which has been regarded as one of the critical security challenges in wireless communications.
Niyato, Dusit   +6 more
core   +1 more source

Hierarchical coordinated anti-jamming channel access in clustering networks: a multi-leader multi-follower Stackelberg game approach

open access: yesEURASIP Journal on Advances in Signal Processing, 2021
This paper mainly investigates the multi-user coordinated anti-jamming problem in clustering communication networks. In such kinds of networks, there exist multiple clusters and multiple users who communicate with their receivers simultaneously. Besides,
Yifan Xu   +6 more
doaj   +1 more source

SATCOM Earth Station Arrays Anti-Jamming Based on MVDR Algorithm

open access: yesApplied Sciences, 2023
In modern life, a large amount of information is transmitted through satellites. The anti-jamming ability of satellite communication earth stations is the basis for ensuring the smooth flow of information.
Yanpeng Xi, Jian Liu, Wenhao Zhao
doaj   +1 more source

Jamming-resilient algorithm for underwater cognitive acoustic networks

open access: yesInternational Journal of Distributed Sensor Networks, 2017
Due to the limit spectrum resource in the underwater acoustic networks, underwater cognitive acoustic communication is a promising technique. The channel sharing mechanism in cognitive networks can improve the communication capacity efficiently.
Zixiang Wang   +4 more
doaj   +1 more source

AC2C: Adaptively Controlled Two-Hop Communication for Multi-Agent Reinforcement Learning [PDF]

open access: yesarXiv, 2023
Learning communication strategies in cooperative multi-agent reinforcement learning (MARL) has recently attracted intensive attention. Early studies typically assumed a fully-connected communication topology among agents, which induces high communication costs and may not be feasible.
arxiv  

‘Is Radioactive Iodine Present Equally in the Cream on Milk as in the Milk Itself?’: Lonely Sources and the Gendered history of Cold War Britain

open access: yesGender &History, Volume 34, Issue 3, Page 827-837, October 2022., 2022
Abstract This article argues that one way to foreground and privilege women's perspectives on the Cold War is by re‐interpreting their historical experiences of food and drink. The article develops this argument by analysing one letter, from an unknown woman to the BBC, in the context of nuclear health concerns in early Cold War Britain.
Jessica Douthwaite
wiley   +1 more source

Jamming Detection in Broadband Frequency Hopping Systems Based on Multi-Segment Signals Spectrum Clustering

open access: yesIEEE Access, 2021
Accurate jamming detection in the broadband frequency hopping (FH) systems plays a vital role in improving the anti-jamming performance of the communication systems.
Hao Xu, Yufan Cheng, Pengyu Wang
doaj   +1 more source

Mode Hopping for Anti-Jamming in Radio Vortex Wireless Communications [PDF]

open access: yesIEEE Transactions on Vehicular Technology, 2018
Frequency hopping (FH) has been widely used as a powerful technique for antijamming in wireless communications. However, as the wireless spectrum is becoming more and more crowded, it is very difficult to achieve efficient antijamming results with FH-based schemes.
Liping Liang   +3 more
openaire   +3 more sources

Anti-Jamming Communications in UAV Swarms: A Reinforcement Learning Approach [PDF]

open access: yesIEEE Access, 2019
Intelligent unmanned aerial vehicle (UAV) swarm may accomplish complex tasks through cooperation, relying on inter-UAV communications. This paper aims to improve the communication performance of intelligent UAV swarm system in the presence of jamming, by multi-parameter programming and reinforcement learning. This paper considers a communication system,
Jinlin Peng   +3 more
openaire   +3 more sources

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