X Xu, L Zuo, Z Huang - Information sciences, 2014 - Elsevier
In recent years, the research on reinforcement learning (RL) has focused on function approximation in learning prediction and control of Markov decision processes (MDPs). The …
Dynamic spectrum access (DSA) is regarded as an effective and efficient technology to share radio spectrum among different networks. As a secondary user (SU), a DSA device …
Y Rizk, M Awad, EW Tunstel - IEEE Transactions on Cognitive …, 2018 - ieeexplore.ieee.org
Intelligent transport systems, efficient electric grids, and sensor networks for data collection and analysis are some examples of the multiagent systems (MAS) that cooperate to achieve …
This paper proposes a reinforcement learning based approach to anti-jamming communications with wideband autonomous cognitive radios (WACRs) in a multi-agent …
Nowadays, machine learning (ML), which is one of the most rapidly growing technical tools, is extensively used to solve critical challenges in various domains. Vehicular ad hoc network …
A Kaur, K Kumar - Journal of Experimental & Theoretical Artificial …, 2022 - Taylor & Francis
Due to exponential growth in demand for radio spectrum for wireless communication networking, the radio spectrum has become over-crowded. The fixed spectrum allocation …
This paper presents a solution for building awareness of the electromagnetic situation in cognitive mobile ad hoc networks (MANET) using the cooperative spectrum sensing method …
Dynamic spectrum leasing (DSL) was proposed recently as a new paradigm for dynamic spectrum sharing (DSS) in cognitive radio networks (CRN's). In this paper, we propose a …
MA Aref, SK Jayaweera, E Yepez - IET Communications, 2020 - Wiley Online Library
In this study, the authors review various jamming and anti‐jamming strategies in the context of cognitive radios (CRs). The study explores different jamming models and classifies them …