User Access Control in Open Radio Access Networks: A Federated Deep Reinforcement Learning Approach
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
User Access Control in Open Radio Access Networks: A Federated Deep Reinforcement Learning Approach
Authors
Keywords
-
Journal
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
Volume 21, Issue 6, Pages 3721-3736
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Online
2021-11-04
DOI
10.1109/twc.2021.3123500
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Ultra-Reliable and Low-Latency Communications Using Proactive Multi-Cell Association
- (2021) Chun-Hung Liu et al. IEEE TRANSACTIONS ON COMMUNICATIONS
- Intelligent User Association for Symbiotic Radio Networks Using Deep Reinforcement Learning
- (2020) Qianqian Zhang et al. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
- Access Point Association in Uplink Two-Hop Cellular IoT Networks With Data Aggregators
- (2020) Hesham G. Moussa et al. IEEE Internet of Things Journal
- Dynamic Resource Scaling for VNF Over Nonstationary Traffic: A Learning Approach
- (2020) Kaige Qu et al. IEEE Transactions on Cognitive Communications and Networking
- A Non-Stationary Online Learning Approach to Mobility Management
- (2019) Yiming Zhou et al. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
- In-Edge AI: Intelligentizing Mobile Edge Computing, Caching and Communication by Federated Learning
- (2019) Xiaofei Wang et al. IEEE NETWORK
- Multi-Agent Deep Reinforcement Learning for Dynamic Power Allocation in Wireless Networks
- (2019) Yasar Sinan Nasir et al. IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
- Deep Reinforcement Learning for User Association and Resource Allocation in Heterogeneous Cellular Networks
- (2019) Nan Zhao et al. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
- Distributed Federated Learning for Ultra-Reliable Low-Latency Vehicular Communications
- (2019) Sumudu Samarakoon et al. IEEE TRANSACTIONS ON COMMUNICATIONS
- Adaptive Hysteresis Margin Based on Fuzzy Logic for Handover in Mobile Networks With Dense Small Cells
- (2018) Ketyllen Da Costa Silva et al. IEEE Access
- 5G New Radio: Waveform, Frame Structure, Multiple Access, and Initial Access
- (2017) Shao-Yu Lien et al. IEEE COMMUNICATIONS MAGAZINE
- Spectrum and Power Allocation for Vehicular Communications With Delayed CSI Feedback
- (2017) Le Liang et al. IEEE Wireless Communications Letters
- A Non-Stochastic Learning Approach to Energy Efficient Mobility Management
- (2016) Cong Shen et al. IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
- Channel-Access-Aware User Association With Interference Coordination in Two-Tier Downlink Cellular Networks
- (2016) Uzma Siddique et al. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
- Handover Management in 5G and Beyond: A Topology Aware Skipping Approach
- (2016) Rabe Arshad et al. IEEE Access
- Mobility management in HetNets: a learning-based perspective
- (2015) Meryem Simsek et al. EURASIP Journal on Wireless Communications and Networking
- Distributed User Association and Femtocell Allocation in Heterogeneous Wireless Networks
- (2014) Siavash Bayat et al. IEEE TRANSACTIONS ON COMMUNICATIONS
- User Association for Load Balancing in Heterogeneous Cellular Networks
- (2013) Qiaoyang Ye et al. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started