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Although communication delays can disrupt multiagent systems, most of the existing multiagent trajectory planners lack a strategy to address this issue. State-of-the-art approaches typically assume perfect communication environments, which…

In this paper, we consider a large scale multiple input multiple output (LS-MIMO) relaying system, where an information source sends the message to its intended destination aided by an LS-MIMO relay, while a passive eavesdropper tries to…

Information Theory · Computer Science 2015-05-13 Xiaoming Chen , Lei Lei , Huazi Zhang , Chau Yuen

In this paper, we investigate opportunistic relaying and jamming techniques and develop relay selection algorithms that maximize the secrecy rate for multiuser buffer-aided relay networks. We develop an approach to maximize the secrecy rate…

Information Theory · Computer Science 2020-11-19 X. Lu , R. C. de Lamare

Deep Reinforcement Learning (DRL) has been highly effective in learning from and adapting to RF environments and thus detecting and mitigating jamming effects to facilitate reliable wireless communications. However, traditional DRL methods…

Machine Learning · Computer Science 2024-10-15 Kemal Davaslioglu , Sastry Kompella , Tugba Erpek , Yalin E. Sagduyu

In this paper, we consider how the uplink transmission of a spatially correlated massive multiple-input multiple-output (MIMO) system can be protected from a jamming attack. To suppress the jamming, we propose a novel framework including a…

Information Theory · Computer Science 2020-03-02 Hossein Akhlaghpasand , Emil Björnson , S. Mohammad Razavizadeh

In this work, a delay-tolerant unmanned aerial vehicle (UAV) relayed covert and secure communication framework is investigated. In this framework, a legitimate UAV serves as an aerial relay to realize communication when the direct link…

Information Theory · Computer Science 2025-06-03 Jiacheng Jiang , Hongjiang Lei , Ki-Hong Park , Gaofeng Pan , Mohamed-Slim Alouini

Decentralized federated learning (DFL) is an effective approach to train a deep learning model at multiple nodes over a multi-hop network, without the need of a server having direct connections to all nodes. In general, as long as nodes are…

Networking and Internet Architecture · Computer Science 2023-01-16 Yi Shi , Yalin E. Sagduyu , Tugba Erpek

With the advancement of communication, the spectrum shortage problem becomes a serious problem for future generations. The cognitive radio technology is proposed to address this concern. In cognitive radio networks, the secondary users can…

Cryptography and Security · Computer Science 2019-12-30 Ehsan Meamari , Khadijeh Afhamisisi , Hadi Shahriar Shahhoseini

Low latency communication is one of the fundamental requirements for 5G wireless networks and beyond. In this paper, a novel approach for joint caching, user scheduling and resource allocation is proposed for minimizing the queuing latency…

Networking and Internet Architecture · Computer Science 2023-09-22 Tamoor-ul-Hassan Syed , Samarakoon Sumudu , Bennis Mehdi , Matti Latva-aho

This paper adopts the antenna selection technique to enhance the covert rate in a wireless communication network comprised of a source, a destination , an external jammer and an eavesdropper. In the covert communication, the level of…

Signal Processing · Electrical Eng. & Systems 2018-12-27 Morteza Sarkheil , Paeiz Azmi , Moslem Forouzesh , Ali Kuhestani

As wireless network technology becomes more and more popular, mutual interference between various signals has become more and more severe and common. Therefore, there is often a situation in which the transmission of its own signal is…

Cryptography and Security · Computer Science 2022-12-29 Guanqun Song , Ting Zhu

Traditional radio systems are strictly co-designed on the lower levels of the OSI stack for compatibility and efficiency. Although this has enabled the success of radio communications, it has also introduced lengthy standardization…

Signal Processing · Electrical Eng. & Systems 2018-01-16 Colin de Vrieze , Shane Barratt , Daniel Tsai , Anant Sahai

Communication is supposed to improve multi-agent collaboration and overall performance in cooperative Multi-agent reinforcement learning (MARL). However, such improvements are prevalently limited in practice since most existing…

Multiagent Systems · Computer Science 2022-12-06 Tingting Yuan , Hwei-Ming Chung , Jie Yuan , Xiaoming Fu

The inherent vulnerability of wireless communication necessitates strategies to enhance its security, particularly in the face of jamming attacks. This paper uses the collaborations of multiple sensing nodes (SNs) in the wireless network to…

Information Theory · Computer Science 2025-09-16 Amir Mehrabian , Georges Kaddoum

With the rapid development of radar jamming systems, especially digital radio frequency memory (DRFM), the electromagnetic environment has become increasingly complex. In recent years, most existing studies have focused solely on either…

Signal Processing · Electrical Eng. & Systems 2025-06-10 Huake Wang , Xudong Han , Bairui Cai , Guisheng Liao , Yinghui Quan

Generative foundation AI models have recently shown great success in synthesizing natural signals with high perceptual quality using only textual prompts and conditioning signals to guide the generation process. This enables semantic…

Information Theory · Computer Science 2024-08-20 Li Qiao , Mahdi Boloursaz Mashhadi , Zhen Gao , Chuan Heng Foh , Pei Xiao , Mehdi Bennis

Security aspects in underwater wireless networks have not been widely investigated so far, despite the critical importance of the scenarios in which these networks can be employed. For example, an attack to a military underwater network for…

Networking and Internet Architecture · Computer Science 2021-03-03 Alberto Signori , Federico Chiariotti , Filippo Campagnaro , Michele Zorzi

In this paper, a novel covert semantic communication framework is investigated. Within this framework, a server extracts and transmits the semantic information, i.e., the meaning of image data, to a user over several time slots. An attacker…

Artificial Intelligence · Computer Science 2025-08-12 Wenjing Zhang , Ye Hu , Tao Luo , Zhilong Zhang , Mingzhe Chen

Most discussions about Large Language Model (LLM) safety have focused on single-agent settings but multi-agent LLM systems now create novel adversarial risks because their behavior depends on communication between agents and decentralized…

Multiagent Systems · Computer Science 2025-10-10 Rana Muhammad Shahroz Khan , Zhen Tan , Sukwon Yun , Charles Fleming , Tianlong Chen

Exploring the interference-emitting friendly jammers to protect the sensitive communications in the presence of eavesdroppers has increasingly being investigated in literature. In parallel, scavenging energy from abient radio signals for…

Cryptography and Security · Computer Science 2016-04-14 Pan Zhou