Results 271 to 280 of about 1,622,314 (332)

Federated Deep Reinforcement Learning for Recommendation-Enabled Edge Caching in Mobile Edge-Cloud Computing Networks

IEEE Journal on Selected Areas in Communications, 2023
To support rapidly increasing services and applications from users, multi-tier computing is emerged as a promising system-level computing architecture by distributing computing/caching/communication/networking capabilities between cloud servers to users,
Chuan Sun, Xiuhua Li, Junhao Wen, Xiaofei Wang, Zhu Han, Victor C. M. Leung   +5 more
semanticscholar   +1 more source

A Federated Learning-Based Edge Caching Approach for Mobile Edge Computing-Enabled Intelligent Connected Vehicles

IEEE transactions on intelligent transportation systems (Print), 2023
Massive map data transmission and the strict demand for the privacy of high-precision maps have brought significant challenges to the cache of high-precision maps in intelligent connected vehicles (ICV). Federal learning (FL) was introduced to reduce the
Chunlin Li, Yong Zhang, Youlong Luo
semanticscholar   +1 more source

Upload Cache in Edge Networks

2012 IEEE 26th International Conference on Advanced Information Networking and Applications, 2012
Research efforts have been put into content retrieval in the Internet, ranging from traditional web proxy to recent content-oriented network architectures. With the emerging trends of uploading large user-generated content, we argue that Internet should not only aid end users in downloading content from steadily available servers but also facilitate ...
Yuncheng Zhu, Akihiro Nakao
openaire   +1 more source

Mobility-Aware Proactive Edge Caching for Large Files in the Internet of Vehicles

IEEE Internet of Things Journal, 2023
By shifting the requested content to the edge in the Internet of Vehicles (IoV), edge caching is expected to be an effective solution to satisfy the low latency and high-reliability requirements of IoV users for multimedia services.
Genghua Yu, Yixin He, Jian Wu, Zhigang Chen, Jianping Pan   +4 more
semanticscholar   +1 more source

AI-Assisted Edge Caching for Metaverse of Connected and Automated Vehicles: Proposal, Challenges, and Future Perspectives

IEEE Vehicular Technology Magazine, 2023
The upcoming metaverse will significantly promote the safety and efficiency of connected and automated vehicles (CAVs) as well as intelligent transportation systems (ITSs) with immersive information exchange between the parallel digital and physical ...
Bomin Mao, Yangbo Liu, Jiajia Liu, Nei Kato   +3 more
semanticscholar   +1 more source

User-Preference-Learning-Based Proactive Edge Caching for D2D-Assisted Wireless Networks

IEEE Internet of Things Journal, 2023
This work investigates proactive edge caching for device-to-device (D2D)-assisted wireless networks, where user equipment (UE) can be selected as caching nodes to assist content delivery to reduce the content transmission latency.
Dongyang Li, Haixia Zhang, Hui Ding, Tiantian Li, Daojun Liang, Dongfeng Yuan   +5 more
semanticscholar   +1 more source

Task Caching in Vehicular Edge Computing

IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), 2021
Vehicular edge computing combines mobile edge computing with vehicular ad hoc networks and endeavors to mitigate the workloads of vehicles. Inspired by the content-centric mobile edge caching, we in this paper propose a cache enabled task offloading in the vehicular edge computing in hope to jointly optimize the response delay and the energy ...
Chaogang Tang, Chunsheng Zhu, Xianglin Wei, Qing Li 0001, Joel J. P. C. Rodrigues   +4 more
openaire   +1 more source

Learning-Based Hierarchical Edge Caching for Cloud-Aided Heterogeneous Networks

IEEE Transactions on Wireless Communications, 2023
Edge caching has emerged as a promising technique against latency caused by explosive growth of mobile data traffic through caching popular contents at the edge networks.
Dongyang Li, Haixia Zhang, D. Yuan, Minggao Zhang   +3 more
semanticscholar   +1 more source

Community Detection and Attention-Weighted Federated Learning Based Proactive Edge Caching for D2D-Assisted Wireless Networks

IEEE Transactions on Wireless Communications, 2023
This work investigates proactive edge caching for D2D-assisted wireless networks, where user equipments (UEs) can be selected as caching nodes to assist content delivery. The objective of this work is to achieve a trade-off between the cost for providing
Dongyang Li, Haixia Zhang, Tiantian Li, Hui Ding, Dongfeng Yuan   +4 more
semanticscholar   +1 more source

DRL-Enhanced Vehicular Edge Caching Addressing Content Dynamics and Complex Intersections

IEEE Internet of Things Journal
Edge caching is crucial for enhancing the performance of vehicular networks primarily by reducing service latency and improving data availability. However, existing research typically focuses only on unidirectional vehicle movement, which limits its ...
Chang Liu, Zheng Xue, Canliang Liao, Jiawen Kang, Guojun Han   +4 more
semanticscholar   +1 more source