5 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…
Hybrid Cognitive IoT with Cooperative Caching and SWIPT-EH: A Hierarchical Reinforcement Learning Framework
Nadia Abdolkhani, Walaa Hamouda
This paper proposes a hierarchical deep reinforcement learning (DRL) framework based on the soft actor-critic (SAC) algorithm for hybrid underlay-overlay cognitive Internet of Thin…
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…
Hierarchical Deep Reinforcement Learning for Robust Access in Cognitive IoT Networks under Smart Jamming Attacks
Nadia Abdolkhani, Walaa Hamouda
In this paper, we address the challenge of dynamic spectrum access in a cognitive Internet of Things (CIoT) network where a secondary user (SU) operates under both energy constrain…