Results 281 to 290 of about 1,622,314 (332)

A Game-Theoretic Analysis of Joint Mobile Edge Caching and Peer Content Sharing

IEEE Transactions on Network Science and Engineering, 2023
Mobile edge caching allows edge devices to cache popular contents and deliver them to end-users directly, and hence can effectively alleviate the increasingly heavy backbone loads and improve the quality-of-service of end-users.
Changkun Jiang, Lin Gao, Jingjing Luo, Pan Zhou, Jianqiang Li   +4 more
semanticscholar   +1 more source

Edge Caching with Federated Unlearning for Low-Latency V2X Communications

IEEE Communications Magazine
Vehicular-to-everything (V2X) communications have gained popularity as a cutting-edge technology in Internet of Vehicles (loV), ensuring low-latency communication for emerging transportation features.
Pengfei Wang, Zhaohong Yan, Mohammad S. Obaidat, Zhiwei Yuan, Leyou Yang, Junxiang Zhang, Zongzheng Wei, Qiang Zhang   +7 more
semanticscholar   +1 more source

Modeling and Analysis of Edge Caching for 6G mmWave Vehicular Networks

IEEE transactions on intelligent transportation systems (Print), 2023
As one of the most promising solutions, edge caching is emerging to reduce the content retrieval latency and relieve the huge burden on the backhaul links in the 6th generation (6G) millimeter wave (mmWave) intelligent vehicular networks.
Zhijian Lin, Yi Fang, Pingping Chen, F. Chen, Guohua Zhang   +4 more
semanticscholar   +1 more source

Enabling Service Cache in Edge Clouds

ACM Transactions on Internet of Things, 2021
The next-generation 5G cellular networks are designed to support the internet of things (IoT) networks; network components and services are virtualized and run either in virtual machines (VMs) or containers. Moreover, edge clouds (which are closer to end users) are leveraged to reduce end-to-end latency especially for some IoT applications,
Chih-Kai Huang 0001, Shan-Hsiang Shen
openaire   +1 more source

Vehicle-Assisted Service Caching for Task Offloading in Vehicular Edge Computing

IEEE Transactions on Mobile Computing
The development of artificial intelligence (AI) enables vehicular edge computing (VEC) servers to be able to provide more intelligent services. However, the limited storage resources of VEC servers constrain the deployment of intelligent service contents,
Hongbo Jiang, Jiang-hao Cai, Zhu Xiao, Kehua Yang, Hongyang Chen, Jiangchuan Liu   +5 more
semanticscholar   +1 more source

QoE-Aware Collaborative Edge Caching and Computing for Adaptive Video Streaming

IEEE Transactions on Wireless Communications
By encoding the video into different bitrate versions, dynamic adaptive streaming over HTTP (DASH) demonstrates its unique advantages in providing flexible bitrate adaption service in dynamic environments.
Wenjie Liu, Haixia Zhang, Hui Ding, Zhitao Yu, Dongfeng Yuan   +4 more
semanticscholar   +1 more source

Resilient Collaborative Caching for Multi-Edge Systems With Robust Federated Deep Learning

IEEE Transactions on Networking
As a key technique for future networks, the performance of emerging multi-edge caching is often limited by inefficient collaboration among edge nodes and improper resource configuration.
Zheyi Chen, Jie Liang, Zhengxin Yu, Hongju Cheng, Geyong Min, Jie Li   +5 more
semanticscholar   +1 more source

Edge Caching and Computation Management for Real-Time Internet of Vehicles: An Online and Distributed Approach

IEEE transactions on intelligent transportation systems (Print), 2021
Vehicular Edge Computing (VEC) is expected to be an effective solution to meet the ultra-low delay requirements of many emerging Internet of Vehicles (IoV) services by shifting the service caching and the computation capacities to the network edge ...
Junhui Zhao, Xiaoke Sun, Qiuping Li, Xiaoting Ma   +3 more
semanticscholar   +1 more source

Caching on the Sky: A Multiagent Federated Reinforcement Learning Approach for UAV-Assisted Edge Caching

IEEE Internet of Things Journal
As a promising solution to alleviate network congestion, mobile edge caching based on unmanned aerial vehicles (UAVs) has emerged and received intensive research interests, where users could download their desired contents from UAVs with much lower ...
Xuanheng Li, Jiahong Liu, Xianhao Chen, Jie Wang, Miao Pan   +4 more
semanticscholar   +1 more source

Dynamic Caching Dependency-Aware Task Offloading in Mobile Edge Computing

IEEE transactions on computers
Mobile Edge Computing (MEC) is a distributed computing paradigm that provides computing capabilities at the periphery of mobile cellular networks. This architecture empowers Mobile Users (MUs) to offload computation-intensive applications to large-scale ...
Liang Zhao, Zijia Zhao, Ammar Hawbani, Zhi Liu, Zhiyuan Tan, Keping Yu   +5 more
semanticscholar   +1 more source