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Optimization of QoS Parameters in Cognitive Radio Using Combination of Two Crossover Methods in Genetic Algorithm
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作者 Abdelfatah Elarfaoui noureddine elalami 《International Journal of Communications, Network and System Sciences》 2013年第11期478-483,共6页
Radio Cognitive (RC) is the new concept introduced to improve spectrum utilization in wireless communication and present important research field to resolve the spectrum scarcity problem. The powerful ability of CR to... Radio Cognitive (RC) is the new concept introduced to improve spectrum utilization in wireless communication and present important research field to resolve the spectrum scarcity problem. The powerful ability of CR to change and adapt its transmit parameters according to environmental sensed parameters, makes CR as the leading technology to manage spectrum allocation and respond to QoS provisioning. In this paper, we assume that the radio environment has been sensed and that the SU specifies QoS requirements of the wireless application. We use genetic algorithm (GA) and propose crossover method called Combined Single-Heuristic Crossover. The weighted sum multi-objective approach is used to combine performance objectives functions discussed in this paper and BER approximate formula is considered. 展开更多
关键词 Cognitive Radio Genetic Algorithm SPECTRUM Allocation DECISION-MAKING SPECTRUM Management Quality of Service (QoS) MULTI-OBJECTIVE Weighted SUM Approach Heuristic-Crossover
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A SUFFICIENT CONDITION OF A POLYNOMIAL FISH POPULATION SYSTEM TO BE STABLE
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作者 YOUNES LOUARTASSI EL HOUSSINE EL MAZOUDI noureddine elalami 《International Journal of Modeling, Simulation, and Scientific Computing》 EI 2012年第3期109-117,共9页
In this paper,we use Lyapunov approach to study the stability of an exploited fish population system.The model considered is structured in n age classes and includes a nonlinear polynomial stock-recruitment relationsh... In this paper,we use Lyapunov approach to study the stability of an exploited fish population system.The model considered is structured in n age classes and includes a nonlinear polynomial stock-recruitment relationship.Lyapunov candidate functions is investigated and sufficient conditions for global asymptotic stability of the studied polynomial system are proposed to allow computational implementation.The results obtained extend our previous study focusing on the solution to the same problem solved using other tools of control engineering.The advantage of the proposed approach is that the derived conditions proving the stability of the studied systems can be presented as in inequality in general and feasibility tests.The obtained results are tested by numerical examples. 展开更多
关键词 Population dynamics continuous structured model ECOSYSTEM STABILIZATION polynomial system Lyapunov approach
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