Learning automata: an introduction
Learning automata: an introduction
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Mobile Cellular Telecommunications: Analog and Digital Systems
Mobile Cellular Telecommunications: Analog and Digital Systems
International Journal of Communication Systems
MASCOTS '05 Proceedings of the 13th IEEE International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems
An Efficient Dynamic Algorithm for Maintaining All-Pairs Shortest Paths in Stochastic Networks
IEEE Transactions on Computers
Improved Genetic Algorithm for Channel Allocation with Channel Borrowing in Mobile Computing
IEEE Transactions on Mobile Computing
IEEE Transactions on Computers
Optimal channel allocation algorithm with efficient channel reservation for cellular networks
International Journal of Communication Networks and Distributed Systems
LACAS: learning automata-based congestion avoidance scheme for healthcare wireless sensor networks
IEEE Journal on Selected Areas in Communications - Special issue on wireless and pervasive communications for healthcare
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An Adaptive Learning Scheme for Medium Access with Channel Reservation in Wireless Networks
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Channel assignment schemes for cellular mobile telecommunication systems: A comprehensive survey
IEEE Communications Surveys & Tutorials
Dynamic algorithms for the shortest path routing problem: learning automata-based solutions
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Handover and channel assignment in mobile cellular networks
IEEE Communications Magazine
Mobile Information Systems
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Presently, mobile and wireless networks are witnessing rapid growth and the users of these networks demand many services that require unlimited frequency spectrum. Providing unlimited frequency spectrum is expensive and difficult. So,efficient use of the available frequency spectrum will greatly satisfy the demands of various services. In this paper, we propose a learning automata (LA)-based channel reservation scheme, which determines the optimal number of reserved channels for the system that is being tested. The proposed scheme is tested on four different extended models (systems) - Single Traffic No Queues (STNQ), Single Traffic with Queues (STWQ), Multi-traffic No Queues (MTNQ), and Multi-traffic with Queues (MTWQ). These four systems employ the channel allocation procedure, which is based on the distributed dynamic allocation policies. The presented systems deal with both originating calls and handoff calls. Quality of Service (QoS) may be improved further by reserving the channels for handoff calls based on the user mobility and type of cell. The performance evaluation of the systems with the proposed LA scheme shows improvement when compared with legacy systems. At a particular instant when the system load is 100, 21%, 28%, 18%, 23%, 22%, 27%, 11%, and 18% of the originating calls are blocked and only 2.4%, 3.6%, 1.9%, 2.1%, 1.9%, 2.3%, 0.4%, and 0.55% of the handoff calls are dropped in the case of the STNQ with LA, STNQ without LA, STWQ with LA, STWQ without LA, MTNQ with LA, MTNQ without LA, MTWQ with LA, and MTWQ without LA systems respectively.