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T. R. Newman, R. Rajbanshi, A. M. Wyglinski, J. B. Evans and G. J. Minden, “Population Adaptationfor Genetic Algorithm-Based Cognitive Radios,” IEEE Proceedings of Cognitive Radio Oriented Wireless Networks and Communications, Orlando, 1-3 August 2007, pp. 279-284.

has been cited by the following article:

• TITLE: Optimization of QoS Parameters in Cognitive Radio Using Combination of Two Crossover Methods in Genetic Algorithm

  AUTHORS: Abdelfatah Elarfaoui, Noureddine Elalami

  KEYWORDS: Cognitive Radio; Genetic Algorithm; Spectrum Allocation; Decision-Making; Spectrum Management; Quality of Service (QoS); Multi-Objective; Weighted Sum Approach; Heuristic-Crossover

  JOURNAL NAME: International Journal of Communications, Network and System Sciences, Vol.6 No.11, November 19, 2013

  ABSTRACT: 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.