Results 181 to 190 of about 3,062,410 (214)

Asynchronous Federated Deep Reinforcement Learning-Based URLLC-Aware Computation Offloading in Space-Assisted Vehicular Networks

IEEE transactions on intelligent transportation systems (Print), 2023
Space-assisted vehicular networks (SAVN) provide seamless coverage and on-demand data processing services for user vehicles (UVs). However, ultra-reliable and low-latency communication (URLLC) demands imposed by emerging vehicular applications are hard ...
Chao Pan, Zhao Wang, Haijun Liao, Zhenyu Zhou, Xiaoyan Wang, Muhammad Tariq, S. Alotaibi   +6 more
semanticscholar   +1 more source

Reverse Auction-Based Computation Offloading and Resource Allocation in Mobile Cloud-Edge Computing

IEEE Transactions on Mobile Computing, 2023
This article proposes a novel Reverse Auction-based Computation Offloading and Resource Allocation Mechanism, named RACORAM for the mobile Cloud-Edge computing.
Huan Zhou, Tong Wu, Xin Chen, Shibo He, Deke Guo, Jie Wu   +5 more
semanticscholar   +1 more source

Dynamic Edge Computation Offloading for Internet of Vehicles With Deep Reinforcement Learning

IEEE transactions on intelligent transportation systems (Print), 2023
Recent developments in the Internet of Vehicles (IoV) enabled the myriad emergence of a plethora of data-intensive and latency-sensitive vehicular applications, posing significant difficulties to traditional cloud computing. Vehicular edge computing (VEC)
L. Yao, Xiaolong Xu, Muhammad Bilal, Huihui Wang   +3 more
semanticscholar   +1 more source

Accelerating Deep Learning Inference via Model Parallelism and Partial Computation Offloading

IEEE Transactions on Parallel and Distributed Systems, 2023
With the rapid development of Internet-of-Things (IoT) and the explosive advance of deep learning, there is an urgent need to enable deep learning inference on IoT devices in Mobile Edge Computing (MEC).
Huan Zhou, Mingze Li, Ning Wang, Geyong Min, Jie Wu   +4 more
semanticscholar   +1 more source

Optimal Computation Offloading in Collaborative LEO-IoT Enabled MEC: A Multiagent Deep Reinforcement Learning Approach

IEEE Transactions on Green Communications and Networking, 2023
Recently, Low Earth Orbit (LEO) satellite-based Internet of Things (LEO-IoT) becomes attractive for computation offloading in mobile-edge computing (MEC) since it can overcome terrain obstacles, such as in depopulated villages and disaster sites. However,
Yifeng Lyu, Zhi Liu, Rongfei Fan, Cheng Zhan, Han Hu, Jianping An   +5 more
semanticscholar   +1 more source

Deep Reinforcement Learning Based Computation Offloading and Trajectory Planning for Multi-UAV Cooperative Target Search

IEEE Journal on Selected Areas in Communications, 2023
Unmanned aerial vehicles (UAVs) are widely used for surveillance and monitoring to complete target search tasks. However, the short battery life and moderate computational capability hinder UAVs to process computation-intensive tasks.
Quyuan Luo, T. Luan, Weisong Shi, P. Fan
semanticscholar   +1 more source

Large-Scale Computation Offloading Using a Multi-Agent Reinforcement Learning in Heterogeneous Multi-Access Edge Computing

IEEE Transactions on Mobile Computing, 2023
Recently, existing computation offloading methods have provided extremely low service latency for mobile users (MUs) in multi-access edge computing (MEC).
Zhen Gao, Lei Yang, Yu Dai
semanticscholar   +1 more source

Energy-Efficient Joint Computation Offloading and Resource Allocation Strategy for ISAC-Aided 6G V2X Networks

IEEE Transactions on Green Communications and Networking, 2023
Integrated sensing and communications (ISAC) is a pillar technology of 6G to enable intelligent environment awareness and hardware cost efficiencies. In ISAC-aided 6G vehicle-to-everything (V2X) networks, the perception data fusion from multiple sources ...
Qian Liu, Rui Luo, Hairong Liang, Qilie Liu   +3 more
semanticscholar   +1 more source

Cost Minimization-Oriented Computation Offloading and Service Caching in Mobile Cloud-Edge Computing: An A3C-Based Approach

IEEE Transactions on Network Science and Engineering, 2023
This paper considers computation offloading and service caching in a three-tier mobile cloud-edge computing structure, in which Mobile Users (MUs) have subscribed to the Cloud Service Center (CSC) for computation offloading services and paid related fees
Huan Zhou, Zhenning Wang, Hantong Zheng, Shibo He, M. Dong   +4 more
semanticscholar   +1 more source

Reinforcement Learning Methods for Computation Offloading: A Systematic Review

ACM Computing Surveys, 2023
Today, cloud computation offloading may not be an appropriate solution for delay-sensitive applications due to the long distance between end-devices and remote datacenters.
Zeinab Zabihi, Amir Masoud Eftekhari Moghadam, Mohammad Hossein Rezvani   +2 more
semanticscholar   +1 more source