A survey on machine-learning techniques in cognitive radios

M Bkassiny, Y Li, SK Jayaweera - … Communications Surveys & …, 2012 - ieeexplore.ieee.org
In this survey paper, we characterize the learning problem in cognitive radios (CRs) and
state the importance of artificial intelligence in achieving real cognitive communications …

Reinforcement learning algorithms with function approximation: Recent advances and applications

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 …

Distributive dynamic spectrum access through deep reinforcement learning: A reservoir computing-based approach

HH Chang, H Song, Y Yi, J Zhang… - IEEE Internet of Things …, 2018 - ieeexplore.ieee.org
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 …

Decision making in multiagent systems: A survey

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 …

Multi-agent reinforcement learning based cognitive anti-jamming

MA Aref, SK Jayaweera… - 2017 IEEE wireless …, 2017 - ieeexplore.ieee.org
This paper proposes a reinforcement learning based approach to anti-jamming
communications with wideband autonomous cognitive radios (WACRs) in a multi-agent …

Comprehensive survey of machine learning approaches in cognitive radio-based vehicular ad hoc networks

MA Hossain, RM Noor, KLA Yau, SR Azzuhri… - IEEE …, 2020 - ieeexplore.ieee.org
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 comprehensive survey on machine learning approaches for dynamic spectrum access in cognitive radio networks

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 …

Building the electromagnetic situation awareness in MANET cognitive radio networks for urban areas

P Skokowski, K Malon, J Łopatka - Sensors, 2022 - mdpi.com
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 …

Asymmetric cooperative communications based spectrum leasing via auctions in cognitive radio networks

SK Jayaweera, M Bkassiny… - IEEE transactions on …, 2011 - ieeexplore.ieee.org
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 …

Survey on cognitive anti‐jamming communications

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 …