5 papers · 1 filter
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…
Performance Optimization of Energy-Harvesting Underlay Cognitive Radio Networks Using Reinforcement Learning
Deemah H. Tashman, Soumaya Cherkaoui, Walaa Hamouda
In this paper, a reinforcement learning technique is employed to maximize the performance of a cognitive radio network (CRN). In the presence of primary users (PUs), it is presumed…