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。You Calculate and I Provision: A DRL-Assisted Service Framework to Realize Distributed and Tenant-Driven Virtual Network Slicing
Xu Zhang et al.
JOURNAL OF LIGHTWAVE TECHNOLOGY (2021)
Deep Learning for Network Traffic Monitoring and Analysis (NTMA): A Survey
Mahmoud Abbasi et al.
COMPUTER COMMUNICATIONS (2021)
Anticipatory Allocation of Communication and Computational Resources at the Edge Using Spatio-Temporal Dynamics of Mobile Users
Arcangela Rago et al.
IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT (2021)
Data-Driven RAN Slicing Mechanisms for 5G and Beyond
Sihem Bakri et al.
IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT (2021)
5G RAN Slicing: Dynamic Single Tenant Radio Resource Orchestration for eMBB Traffic within a Multi-Slice Scenario
Massimiliano Maule et al.
IEEE COMMUNICATIONS MAGAZINE (2021)
Intelligent Radio Access Network Slicing for Service Provisioning in 6G: A Hierarchical Deep Reinforcement Learning Approach
Jie Mei et al.
IEEE TRANSACTIONS ON COMMUNICATIONS (2021)
CASCADED WLAN-FWA NETWORKING AND COMPUTING ARCHITECTURE FOR PERVASIVE IN-HOME HEALTHCARE
Sergio Martiradonna et al.
IEEE WIRELESS COMMUNICATIONS (2021)
Mobile Traffic Classification Through Physical Control Channel Fingerprinting: A Deep Learning Approach
Hoang Duy Trinh et al.
IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT (2021)
Security and Privacy for 6G: A Survey on Prospective Technologies and Challenges
Van-Linh Nguyen et al.
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS (2021)
Deep reinforcement learning-aided RAN slicing enforcement supporting latency sensitive services in B5G networks
Sergio Martiradonna et al.
INTERNET TECHNOLOGY LETTERS (2021)
Joint RAN Slicing and Computation Offloading for Autonomous Vehicular Networks: A Learning-Assisted Hierarchical Approach
Qiang Ye et al.
IEEE OPEN JOURNAL OF VEHICULAR TECHNOLOGY (2021)
5G network slicing using SDN and NFV: A survey of taxonomy, architectures and future challenges
Alcardo Alex Barakabitze et al.
COMPUTER NETWORKS (2020)
DeepCog: Optimizing Resource Provisioning in Network Slicing With AI-Based Capacity Forecasting
Dario Bega et al.
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS (2020)
GAN-Powered Deep Distributional Reinforcement Learning for Resource Management in Network Slicing
Yuxiu Hua et al.
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS (2020)
Toward Operator-to-Waveform 5G Radio Access Network Slicing
Salvatore D'Oro et al.
IEEE COMMUNICATIONS MAGAZINE (2020)
Deep Reinforcement Learning for 5G Networks: Joint Beamforming, Power Control, and Interference Coordination
Faris B. Mismar et al.
IEEE TRANSACTIONS ON COMMUNICATIONS (2020)
The LSTM-Based Advantage Actor-Critic Learning for Resource Management in Network Slicing With User Mobility
Rongpeng Li et al.
IEEE COMMUNICATIONS LETTERS (2020)
Multi-Task Learning at the Mobile Edge: An Effective Way to Combine Traffic Classification and Prediction
Arcangela Rago et al.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2020)
Towards artificial intelligence enabled 6G: State of the art, challenges, and opportunities
Shunliang Zhang et al.
COMPUTER NETWORKS (2020)
Stacked Autoencoder-Based Deep Reinforcement Learning for Online Resource Scheduling in Large-Scale MEC Networks
Feibo Jiang et al.
IEEE INTERNET OF THINGS JOURNAL (2020)
Pervasive intelligent endogenous 6G wireless systems: Prospects, theories and key technologies
Yun Chen et al.
DIGITAL COMMUNICATIONS AND NETWORKS (2020)
Flexible Resource Block Allocation to Multiple Slices for Radio Access Network Slicing Using Deep Reinforcement Learning
Yu Abiko et al.
IEEE ACCESS (2020)
A Survey on Security and Privacy of 5G Technologies: Potential Solutions, Recent Advancements, and Future Directions
Rabia Khan et al.
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS (2020)
A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art
Quoc-Viet Pham et al.
IEEE ACCESS (2020)
Dynamic Resource Trading in Sliced Mobile Networks
Ozgur Umut Akgul et al.
IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT (2019)
AN OVERVIEW OF NETWORK SLICING FOR 5G
Shunliang Zhang
IEEE WIRELESS COMMUNICATIONS (2019)
Mobile Encrypted Traffic Classification Using Deep Learning: Experimental Evaluation, Lessons Learned, and Challenges
Giuseppe Aceto et al.
IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT (2019)
Multi-Tenant Cross-Slice Resource Orchestration: A Deep Reinforcement Learning Approach
Xianfu Chen et al.
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS (2019)
Machine Learning in the Air
Deniz Gunduz et al.
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS (2019)
Coverage Analysis of Integrated Sub-6GHz-mmWave Cellular Networks With Hotspots
Minwei Shi et al.
IEEE TRANSACTIONS ON COMMUNICATIONS (2019)
Reinforcement Learning for Slicing in a 5G Flexible RAN
Muhammad Rehan Raza et al.
JOURNAL OF LIGHTWAVE TECHNOLOGY (2019)
5G RAN Slicing for Verticals: Enablers and Challenges
Salah Eddine Elayoubi et al.
IEEE COMMUNICATIONS MAGAZINE (2019)
An Efficient RAN Slicing Strategy for a Heterogeneous Network With eMBB and V2X Services
Haider D. Resin Albonda et al.
IEEE ACCESS (2019)
Deep Learning in Mobile and Wireless Networking: A Survey
Chaoyun Zhang et al.
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS (2019)
Applications of Deep Reinforcement Learning in Communications and Networking: A Survey
Nguyen Cong Luong et al.
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS (2019)
Machine Learning for 5G/B5G Mobile and Wireless Communications: Potential, Limitations, and Future Directions
Manuel Eugenio Morocho-Cayamcela et al.
IEEE ACCESS (2019)
Deep Reinforcement Learning for Resource Management in Network Slicing
Rongpeng Li et al.
IEEE ACCESS (2018)
Network Slicing as a Service: Enabling Enterprises' Own Software-Defined Cellular Networks
Xuan Zhou et al.
IEEE COMMUNICATIONS MAGAZINE (2016)
分享论文
