naa a22 4500 510791492 CHVBK 20180411083321.0 cr unu---uuuuu 180411e20130701xx s 000 0 eng 10.1007/s11277-012-0834-9 doi (NATIONALLICENCE)springer-10.1007/s11277-012-0834-9 Joint Admission Control and Channel Selection Based on Multi Response Learning Automata (MRLA) in Cognitive Radio Networks [Elektronische Daten] [Hannaneh Bizhani, Abdorasoul Ghasemi] 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. Springer Science+Business Media, LLC., 2012 Cognitive radio networks nationallicence Dynamic spectrum access nationallicence Multi response learning automata nationallicence Channel selection nationallicence Admission control nationallicence Bizhani Hannaneh Faculty of Electrical and Computer Engineering, K.N. Toosi University of Technology, P.O. Box 163151355, Tehran, Iran aut Ghasemi Abdorasoul Faculty of Electrical and Computer Engineering, K.N. Toosi University of Technology, P.O. Box 163151355, Tehran, Iran aut Wireless Personal Communications Springer US; http://www.springer-ny.com 71/1(2013-07-01), 629-649 0929-6212 71:1<629 2013 71 11277 https://doi.org/10.1007/s11277-012-0834-9 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11277-012-0834-9 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Bizhani Hannaneh Faculty of Electrical and Computer Engineering, K.N. Toosi University of Technology, P.O. Box 163151355, Tehran, Iran aut NATIONALLICENCE 700 1- Ghasemi Abdorasoul Faculty of Electrical and Computer Engineering, K.N. Toosi University of Technology, P.O. Box 163151355, Tehran, Iran aut NATIONALLICENCE 773 0- Wireless Personal Communications Springer US; http://www.springer-ny.com 71/1(2013-07-01), 629-649 0929-6212 71:1<629 2013 71 11277 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer