7 papers
Deep Reinforcement Learning for EH-Enabled Cognitive-IoT Under Jamming Attacks
Nadia Abdolkhani, Nada Abdel Khalek, Walaa Hamouda
In the evolving landscape of the Internet of Things (IoT), integrating cognitive radio (CR) has become a practical solution to address the challenge of spectrum scarcity, leading t…
Deep Reinforcement Learning for Joint Time and Power Management in SWIPT-EH CIoT
Nadia Abdolkhani, Nada Abdel Khalek, Walaa Hamouda +1
This letter presents a novel deep reinforcement learning (DRL) approach for joint time allocation and power control in a cognitive Internet of Things (CIoT) system with simultaneou…
Cooperative Caching Towards Efficient Spectrum Utilization in Cognitive-IoT Networks
Nadia Abdolkhani, Walaa Hamouda
In cognitive Internet of Things (CIoT) networks, efficient spectrum sharing is essential to address increasing wireless demands. This paper presents a novel deep reinforcement lear…
Federated Learning-based MARL for Strengthening Physical-Layer Security in B5G Networks
Deemah H. Tashman, Soumaya Cherkaoui, Walaa Hamouda
This paper explores the application of a federated learning-based multi-agent reinforcement learning (MARL) strategy to enhance physical-layer security (PLS) in a multi-cellular ne…
Maximizing Reliability in Overlay Radio Networks with Time Switching and Power Splitting Energy Harvesting
Deemah H. Tashman, Soumaya Cherkaoui, Walaa Hamouda
Cognitive radio networks (CRNs) are acknowledged for their ability to tackle the issue of spectrum under-utilization. In the realm of CRNs, this paper investigates the energy effic…
Optimizing Cognitive Networks: Reinforcement Learning Meets Energy Harvesting Over Cascaded Channels
Deemah H. Tashman, Soumaya Cherkaoui, Walaa Hamouda
This paper presents a reinforcement learning (RL) based approach to improve the physical layer security (PLS) of an underlay cognitive radio network (CRN) over cascaded channels. T…