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.