most citedLeveraging Large Language Models for DRL-Based Anti-Jamming Strategies in Zero Touch Networks

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eess.SP2024

A Novel Approach to WaveNet Architecture for RF Signal Separation with Learnable Dilation and Data Augmentation

Yu Tian, Ahmed Alhammadi, Abdullah Quran +1

In this paper, we address the intricate issue of RF signal separation by presenting a novel adaptation of the WaveNet architecture that introduces learnable dilation parameters, si…

eess.SP2023★ 1 cited

Defeating Proactive Jammers Using Deep Reinforcement Learning for Resource-Constrained IoT Networks

Abubakar Sani Ali, Shimaa Naser, Sami Muhaidat

Traditional anti-jamming techniques like spread spectrum, adaptive power/rate control, and cognitive radio, have demonstrated effectiveness in mitigating jamming attacks. However,…