Queen-bee evolution approach to prc-based papr reduction for ofdm systems

Laila, Binti Abg Ahmad (2011) Queen-bee evolution approach to prc-based papr reduction for ofdm systems. Masters thesis, Universiti Malaysia Sarawak (UNIMAS).

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Abstract

The thesis proposed the adoption of Queen-bee Evolution approach for Genetic Algorithm (QBEGA) concept to improve the Genetic Algorithm for generating suboptimum peak reduction carriers (PRCs) for the orthogonal frequency division multiplexing (OFDM) systems employing a large number of sub-channels as contributed by Tan (2003a). The investigations were carried out through simulation and the results and analysis obtained are discussed. The investigation concluded that the QBEGA concept performs better than the conventional GA proposed by Tan both in terms of percentage reduction and computational complexity. Irrespective of the algorithms, the findings also indicated that the performance trend improves as the initial population size increases. Nevertheless, in this regards, QBEGA concept has shown a dramatic improvement as compared to the GA.

Item Type: Thesis (Masters)
Additional Information: Thesis (M.Sc.) --Universiti Malaysia Sarawak , 2011.
Uncontrolled Keywords: Internet, Security measure, Queen-bee Evolution, Genetic Algorithm (QBEGA) , Genetic Algorithm, unimas, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, ipta, education, Postgraduate, research, Universiti Malaysia Sarawak.
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology
Faculties, Institutes, Centres > Faculty of Computer Science and Information Technology
Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology
Depositing User: Gani
Date Deposited: 20 Nov 2019 06:01
Last Modified: 06 Mar 2023 09:05
URI: http://ir.unimas.my/id/eprint/27991

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