Jamal Elhachimi

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This paper presents a new algorithm for solving the frequency assignment problem in cellular mobile systems. The proposed algorithm is based on a Taboo search starting with a sequential local search method. Instead of using a minimum number of frequencies and reusing them a maximum number of times, our algorithm assembles to maximum the frequencies while(More)
Today, Cognitive radio (CR) is found to be the key technology to exploit the unused available spectrum resources; it can sense and use spectrum in an opportunistic manner without creating any harm to cognitive users. In this paper, we develop a cognitive radio access strategy based on the implementation of a dynamic genetic algorithm for CR. The crossover(More)
This paper presents a multi-agent hierarchy that takes advantages of a greedy algorithm in conjunction with a Taboo search method to solve the problem of distributing radio resources in a wireless network. By the maximum reuse of the same frequencies, the method allows sharing all resources between different RANs (Regional Radio Access Network),(More)
Today, Cognitive radio (CR) is found to be the key technology to exploit the unused available spectrum resources; it can sense and use spectrum in an opportunistic manner without creating any harm to cognitive users. In this paper, we develop a cognitive radio access strategy based on the implementation of a dynamic genetic algorithm for CR. The crossover(More)
Recent demand for wireless communication continues to grow rapidly as a result of the increasing number of users, the emergence of new user requirements, and the trend to new access technologies. At the same time, the electromagnetic spectrum or frequencies allocated for this purpose are still limited. This makes solving the frequency assignment problem(More)
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