Parallel and distributed computation: numerical methods
Parallel and distributed computation: numerical methods
Learning automata: an introduction
Learning automata: an introduction
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
The Nonstochastic Multiarmed Bandit Problem
SIAM Journal on Computing
An Adaptive Learning Automata Algorithm for Channel Selection in Cognitive Radio Network
CMC '10 Proceedings of the 2010 International Conference on Communications and Mobile Computing - Volume 02
Enhancing cognitive radio dynamic spectrum sensing through adaptive learning
MILCOM'09 Proceedings of the 28th IEEE conference on Military communications
Cognitive Medium Access: Exploration, Exploitation, and Competition
IEEE Transactions on Mobile Computing
Applications of Machine Learning to Cognitive Radio Networks
IEEE Wireless Communications
Multiple response learning automata
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Brief paper: A cooperative game of a pair of learning automata
Automatica (Journal of IFAC)
Cognitive radio: brain-empowered wireless communications
IEEE Journal on Selected Areas in Communications
A framework for uplink power control in cellular radio systems
IEEE Journal on Selected Areas in Communications
Wireless Personal Communications: An International Journal
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We use multi response learning automata (MRLA) to control how secondary users should access the licensed primary channels in cognitive radio networks. We seek two aims in this paper: (1) estimating the availability probability of each primary channel and (2) admission control of secondary users to decrease the rate of collisions between them. We consider single and multiple secondary user scenarios. In the first scenario, the secondary user deploys learning automata to estimate the primary channel availability probability for efficient exploitation. In the second scenario, each secondary user deploys an algorithm based on MRLA to estimate primary traffic as well as the behavior of other secondary users in order to control the rate of collisions. Then, to have a better control on the rate of secondary collisions, when the number of secondary users is greater than the number of primary channels, we proposed an admission control scheme. In this scheme, some of secondary users are blocked in each time slot and do not have any interaction with the environment. The convergence of the proposed algorithms with and without admission schemes is analyzed. Simulation results are provided to show the improvement in the secondary users' total throughput and switching cost while maintaining the fairness between them.