2009
DOI: 10.1142/s1469026809002618
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Cellular Learning Automata Based Dynamic Channel Assignment Algorithms

Abstract: A solution to channel assignment problem in cellular networks is self-organizing channel assignment algorithm with distributed control. In this paper, we propose three cellular learning automata based dynamic channel assignment algorithms. In the first two algorithms, no information about the status of channels in the whole network will be used by cells for channel assignment whereas in the third algorithm, the additional information regarding status of channels may be gathered and then used by cells in order … Show more

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Cited by 24 publications
(8 citation statements)
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“…The additional information help cellular learning automata to find an assignment which results in lower blocking probability for the network. In [26], a CLA based dynamic channel assignment algorithm is given that allows additional information to be exchanged among neighboring cells.The simulation results show that the exchange of additional information among neighboring cell decreases the blocking probability of calls.…”
Section: Dynamic Channel Assignment In Cellular Networkmentioning
confidence: 99%
“…The additional information help cellular learning automata to find an assignment which results in lower blocking probability for the network. In [26], a CLA based dynamic channel assignment algorithm is given that allows additional information to be exchanged among neighboring cells.The simulation results show that the exchange of additional information among neighboring cell decreases the blocking probability of calls.…”
Section: Dynamic Channel Assignment In Cellular Networkmentioning
confidence: 99%
“…Additionally, Φ is the local law of the CLA. The operation of the CLA is defined as follows: In each step, the LA of each cell selects the acts on the basis of the probability vector. The local law of each cell produces a signal based on the selectivity of the automata and the selective action of the neighboring CA. The reinforcement signal rewards or penalizes the selected action of each cell. The above steps are repeated until stability is achieved. Cellular learning automata have been used in many fields, such as the placement of VLSI circuits, image processing, and channel allocation …”
Section: Introductionmentioning
confidence: 99%
“…CLA has been utilized in many scientific domains such as deployment and clustering in wireless sensor networks [37,38], dynamic channel assignment in cellular networks [39], evolutionary computing [40], and graph coloring [41].…”
Section: Introductionmentioning
confidence: 99%