相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。Adaptive Online Decision Method for Initial Congestion Window in 5G Mobile Edge Computing Using Deep Reinforcement Learning
Ruitao Xie et al.
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS (2020)
Dynamic Request Scheduling Optimization in Mobile Edge Computing for IoT Applications
Shihong Hu et al.
IEEE INTERNET OF THINGS JOURNAL (2020)
Multi-User Offloading for Edge Computing Networks: A Dependency-Aware and Latency-Optimal Approach
Chang Shu et al.
IEEE INTERNET OF THINGS JOURNAL (2020)
Robust Optimization of a Distribution Network Location-Routing Problem Under Carbon Trading Policies
Yufeng Zhou et al.
IEEE ACCESS (2020)
Multi-User Multi-Task Computation Offloading in Green Mobile Edge Cloud Computing
Weiwei Chen et al.
IEEE TRANSACTIONS ON SERVICES COMPUTING (2019)
Impact of Non-Orthogonal Multiple Access on the Offloading of Mobile Edge Computing
Zhiguo Ding et al.
IEEE TRANSACTIONS ON COMMUNICATIONS (2019)
Online task allocation in mobile cloud computing with budget constraints
Yu He et al.
COMPUTER NETWORKS (2019)
Energy-Efficient NOMA-Based Mobile Edge Computing Offloading
Yijin Pan et al.
IEEE COMMUNICATIONS LETTERS (2019)
Dynamic Task Offloading and Scheduling for Low-Latency IoT Services in Multi-Access Edge Computing
Hyame Assem Alameddine et al.
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS (2019)
Joint Task Offloading and Resource Allocation for Multi-Server Mobile-Edge Computing Networks
Tuyen X. Tran et al.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2019)
Cooperative Task Offloading in Three-Tier Mobile Computing Networks: An ADMM Framework
Yue Wang et al.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2019)
D2D Communications Meet Mobile Edge Computing for Enhanced Computation Capacity in Cellular Networks
Yinghui He et al.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS (2019)
Decentralized Algorithm for Randomized Task Allocation in Fog Computing Systems
Sladana Josilo et al.
IEEE-ACM TRANSACTIONS ON NETWORKING (2019)
Automatic segmentation of left ventricle from cardiac MRI via deep learning and region constrained dynamic programming
Huaifei Hu et al.
NEUROCOMPUTING (2019)
Joint task scheduling and uplink/downlink radio resource allocation in PD-NOMA based mobile edge computing networks
Pouria Paymard et al.
PHYSICAL COMMUNICATION (2019)
Computation Offloading in Multi-Access Edge Computing Using a Deep Sequential Model Based on Reinforcement Learning
Jin Wang et al.
IEEE COMMUNICATIONS MAGAZINE (2019)
An energy-aware computation offloading method for smart edge computing in wireless metropolitan area networks
Xiaolong Xu et al.
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS (2019)
OKRA: optimal task and resource allocation for energy minimization in mobile edge computing systems
Weiwei Fang et al.
WIRELESS NETWORKS (2019)
Joint Task Assignment, Transmission, and Computing Resource Allocation in Multilayer Mobile Edge Computing Systems
Pengfei Wang et al.
IEEE INTERNET OF THINGS JOURNAL (2019)
Delay-Minimization Nonorthogonal Multiple Access Enabled Multi-User Mobile Edge Computation Offloading
Yuan Wu et al.
IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING (2019)
Online learning offloading framework for heterogeneous mobile edge computing system
Feifei Zhang et al.
JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING (2019)
Dynamic Computation Offloading in Edge Computing for Internet of Things
Ying Chen et al.
IEEE INTERNET OF THINGS JOURNAL (2019)
Physical Layer Security in Large-Scale Probabilistic Caching: Analysis and Optimization
Shubin Zhang et al.
IEEE COMMUNICATIONS LETTERS (2019)
Energy Efficient Resource Allocation in UAV-Enabled Mobile Edge Computing Networks
Zhaohui Yang et al.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS (2019)
Satellite Mobile Edge Computing: Improving QoS of High-Speed Satellite-Terrestrial Networks Using Edge Computing Techniques
Zhenjiang Zhang et al.
IEEE NETWORK (2019)
Hybrid event- and time-triggered control for double-integrator heterogeneous networks
Gaopeng Duan et al.
SCIENCE CHINA-INFORMATION SCIENCES (2019)
Dynamic Mobile Crowdsourcing Selection for Electricity Load Forecasting
Lianyong Qi et al.
IEEE ACCESS (2018)
A Distributed Locality-Sensitive Hashing-Based Approach for Cloud Service Recommendation From Multi-Source Data
Lianyong Qi et al.
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS (2017)
分享论文
