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Communication-Efficient Federated Learning for Large-Scale Multiagent Systems in ISAC: Data Augmentation With Reinforcement Learning
Wenjiang Ouyang;Qian Liu;Junsheng Mu;Anwer AI-Dulaimi;Xiaojun Jing;Qilie Liu
Integrated sensing and communication (ISAC) has attracted great attention with the gains of spectrum efficiency and deployment costs through the coexistence of sensing and communication functions. Meanwhile, federated learning (FL) has great potential to apply to large-scale multiagent systems (LSMAS) in ISAC due to the attractive privacy protection mechanism. Nonindependent identically distributi...Show More
Federated Learning in 6G Non-Terrestrial Network for IoT Services: From the Perspective of Perceptive Mobile Network
Junsheng Mu;Yuanhao Cui;Wenjiang OUyang;Zhaohui Yang;Weijie Yuan;Xiaojun Jing
Recently, federated learning (FL) has been a hotspot for its capacity of data privacy protection and excellent performance under few-shot conditions for Internet of Things (IoT) services. Meanwhile, 6G non-terrestrial network (NTN) provides an effective and affordable option for enhancing IoT device connectivity. When FL meets NTN, various challenges and opportunities will emerge to promote techno...Show More
Digital Twins-Enabled Federated Learning in Mobile Networks: From the Perspective of Communication-Assisted Sensing
Junsheng Mu;Wenjiang Ouyang;Tao Hong;Weijie Yuan;Yuanhao Cui;Zexuan Jing
With the continuous evolution of emerging technologies such as mobile network, machine learning (ML), 5G, etc., digital twins (DT) bursts out great potential by its capacity of data analysis, data tracking, data prediction, etc, building a bridge between the physical and information world. Meanwhile, mobile network is moving towards data-driven paradigm, the issue of data privacy and data security...Show More
Efficient Communication-Assisted Sensing based on Federated Transfer Learning
Wenjiang Ouyang;Junsheng Mu;Jingyan Wu;Bohan Li;Xiaojun Jing
IEEE INFOCOM 2023 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)
Year: 2023 | Conference Paper |
Cited by: Papers (1)
Integrated sensing and communication (ISAC) has been an attractive solution to address the issues of spectrum shortage and hardware overhead through the coexistence of sensing and communication function. In ISAC, one of the most meaningful topics is communication-assisted sensing, namely, sensing-centered ISAC, where the sensing performance is enhanced by the improvement of communication efficienc...Show More
Efficient Transmission and Secure Sharing of Sensing data under Distributed ISAC Conditions
Junsheng Mu;Zexuan Jing;Yuanhao Cui;Xiaojun Jing;Quan Zhou;Wenjiang Ouyang
2023 International Wireless Communications and Mobile Computing (IWCMC)
Year: 2023 | Conference Paper |
Cited by: Papers (1)
To solve the problems of limited computing resources and data privacy in the IoE scenario of 6G networks, this paper propose an efficient transmission and secure sharing architecture of sensing data based on federated learning. The architecture considers an integrated sensing and communication (ISAC) approach, employs knowledge distillation techniques to compress and accelerate data processing mod...Show More
Energy-Efficient Interference Cancellation in Integrated Sensing and Communication Scenarios
Junsheng Mu;Wenjiang Ouyang;Zexuan Jing;Bohan Li;Fangpei Zhang
Recently, integrated sensing and communication (ISAC) has been a hot topic to alleviate the issue of low spectrum efficiency, pursuit the hardware gain and integration gain as far as possible. However, the coexistence of sensing and communication functions triggers the mutual interference therein, seriously affecting their respective performance. To solve this problem, the communication model and ...Show More
Intelligent fusion of integrated sensing and communication signal on the UAV platform
2022 IEEE/CIC International Conference on Communications in China (ICCC Workshops)
Year: 2022 | Conference Paper |
Cited by: Papers (4)
Recently, Unmanned Aerial Vehicle (UAV)assisted communication and UAV-assisted sensing has attracted great attention due to the excellent performance of high mobility., flexible deployment, and low costs. However, UAV communication loads and radar loads are independent of each other at present, leading to a lower spectral efficiency and a higher hardware cost. With the evolution of integrated sens...Show More
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