Mduduzi Comfort Hlophe
Orcid: 0000-0001-6111-5619
According to our database1,
Mduduzi Comfort Hlophe
authored at least 15 papers
between 2017 and 2023.
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Bibliography
2023
A Backhaul Adaptation Scheme for IAB Networks Using Deep Reinforcement Learning With Recursive Discrete Choice Model.
IEEE Access, 2023
Prospect-theoretic DRL Approach for Container Provisioning in Energy-constrained Edge Platforms.
Proceedings of the 97th IEEE Vehicular Technology Conference, 2023
Power-Delay Tradeoff in Vehicle-to-Edge Networks Using Constrained Reinforcement Learning.
Proceedings of the IEEE AFRICON 2023, Nairobi, Kenya, September 20-22, 2023, 2023
Proceedings of the IEEE AFRICON 2023, Nairobi, Kenya, September 20-22, 2023, 2023
Deep Q-learning Network Solution for Subjective Computational Task Scheduling in Edge Platforms.
Proceedings of the IEEE International Conference on Advanced Networks and Telecommunications Systems, 2023
2022
An SDN Controller-Based Network Slicing Scheme Using Constrained Reinforcement Learning.
IEEE Access, 2022
2021
Access and Radio Resource Management for IAB Networks Using Deep Reinforcement Learning.
IEEE Access, 2021
AI Meets CRNs: A Prospective Review on the Application of Deep Architectures in Spectrum Management.
IEEE Access, 2021
Energy-Efficient Transmissions in Federated Learning-Assisted Cognitive Radio Networks.
Proceedings of the 21st International Conference on Communication Technology, 2021
2020
QoS provisioning and energy saving scheme for distributed cognitive radio networks using deep learning.
J. Commun. Networks, 2020
Secondary User Experience-oriented Resource Allocation in AI-empowered Cognitive Radio Networks Using Deep Neuroevolution.
Proceedings of the 91st IEEE Vehicular Technology Conference, 2020
Instantaneous Load-Based User Association in Multi-Hop IAB Networks using Reinforcement Learning.
Proceedings of the IEEE Global Communications Conference, 2020
2019
Spectrum Occupancy Reconstruction in Distributed Cognitive Radio Networks Using Deep Learning.
IEEE Access, 2019
Optimization and Learning in Energy Efficient Resource Allocation for Cognitive Radio Networks.
Proceedings of the 89th IEEE Vehicular Technology Conference, 2019
2017
Proceedings of the IEEE AFRICON 2017, Cape Town, South Africa, September 18-20, 2017, 2017