Distributed spectrum sensing for cognitive radio systems using graph theory. - Mduduzi Comfort Hlophe; Bodhaswar T. Maharaj; Soumaya Hamouda (AFRICON, 2017)

Optimization and Learning in Energy Efficient Resource Allocation for Cognitive Radio Networks. - Mduduzi Comfort Hlophe; Bodhaswar T. Maharaj (VTC Spring, 2019)

Spectrum Occupancy Reconstruction in Distributed Cognitive Radio Networks Using Deep Learning. - Mduduzi Comfort Hlophe; Sunil B. T. Maharaj (IEEE Access, 2019)

Instantaneous Load-Based User Association in Multi-Hop IAB Networks using Reinforcement Learning. - Malcolm M. Sande; Mduduzi Comfort Hlophe; Bodhaswar T. Maharaj (GLOBECOM, 2020)

Secondary User Experience-oriented Resource Allocation in AI-empowered Cognitive Radio Networks Using Deep Neuroevolution. - Mduduzi Comfort Hlophe; Bodhaswar T. Maharaj (VTC Spring, 2020)

QoS provisioning and energy saving scheme for distributed cognitive radio networks using deep learning. - Mduduzi Comfort Hlophe; Bodhaswar T. Maharaj (J. Commun. Networks, 2020)

Energy-Efficient Transmissions in Federated Learning-Assisted Cognitive Radio Networks. - Mduduzi Comfort Hlophe; Bodhaswar T. Maharaj; Malcolm M. Sande (ICCT, 2021)

AI Meets CRNs: A Prospective Review on the Application of Deep Architectures in Spectrum Management. - Mduduzi Comfort Hlophe; Bodhaswar T. Maharaj (IEEE Access, 2021)

Access and Radio Resource Management for IAB Networks Using Deep Reinforcement Learning. - Malcolm M. Sande; Mduduzi Comfort Hlophe; Bodhaswar T. Maharaj (IEEE Access, 2021)

An SDN Controller-Based Network Slicing Scheme Using Constrained Reinforcement Learning. - Mduduzi Comfort Hlophe; Bodhaswar T. Maharaj (IEEE Access, 2022)

Deep Q-learning Network Solution for Subjective Computational Task Scheduling in Edge Platforms. - Mduduzi Comfort Hlophe; Babatunde S. Awoyemi; Bodhaswar T. Maharaj (ANTS, 2023)

Resource Optimisation in Cognitive-Based Internet-of-Things with Edge Computing. - Babatunde S. Awoyemi; Mduduzi Comfort Hlophe; Bodhaswar T. Maharaj (AFRICON, 2023)

Power-Delay Tradeoff in Vehicle-to-Edge Networks Using Constrained Reinforcement Learning. - Mduduzi Comfort Hlophe; Babatunde S. Awoyemi; Bodhaswar T. Maharaj (AFRICON, 2023)

Prospect-theoretic DRL Approach for Container Provisioning in Energy-constrained Edge Platforms. - Mduduzi Comfort Hlophe; Bodhaswar T. Maharaj (VTC2023-Spring, 2023)

A Backhaul Adaptation Scheme for IAB Networks Using Deep Reinforcement Learning With Recursive Discrete Choice Model. - Malcolm M. Sande; Mduduzi Comfort Hlophe; Bodhaswar T. Maharaj (IEEE Access, 2023)

Blockchain-Enhanced Attribute-Based Encryption Architecture With Feasibility Analysis. - Agustin Ferrer-Rojas; Bodhaswar T. Maharaj; Mduduzi Comfort Hlophe (IEEE Access, 2025)

Dynamic resource provisioning in containerized edge systems with reconfigurable edge servers. - Babatunde S. Awoyemi; Mduduzi Comfort Hlophe; Bodhaswar T. Maharaj (EURASIP J. Wirel. Commun. Netw., 2025)