Research Article
A Genetic Approach to Cell-by-Cell Dynamic Spectrum Allocation for Optimising Spectral Efficiency in Wireless Mobile Systems
@INPROCEEDINGS{10.1109/CROWNCOM.2007.4549825, author={Duminda Thilakawardana and Klaus Moessner}, title={A Genetic Approach to Cell-by-Cell Dynamic Spectrum Allocation for Optimising Spectral Efficiency in Wireless Mobile Systems}, proceedings={2nd International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications}, publisher={IEEE}, proceedings_a={CROWNCOM}, year={2008}, month={6}, keywords={cell-by-cell Dynamic spectrum allocation genetic algorithms spectral efficiency wireless mobile systems.}, doi={10.1109/CROWNCOM.2007.4549825} }- Duminda Thilakawardana
Klaus Moessner
Year: 2008
A Genetic Approach to Cell-by-Cell Dynamic Spectrum Allocation for Optimising Spectral Efficiency in Wireless Mobile Systems
CROWNCOM
IEEE
DOI: 10.1109/CROWNCOM.2007.4549825
Abstract
This paper highlights the potential of using genetic algorithms as a solution approach to the cell-by-cell dynamic spectrum allocation problem which is considered as a NP-hard optimization problem. Genetic algorithms are stochastic search optimization techniques modelled on the Darwinian theories and now increasingly applied for such type of problems. Representation is the most crucial element in a genetic algorithm and a novel 2D encoding method is proposed in this work to map the allocation problem into chromosomes which significantly reduces the convergence time. A simulation program referred to “GENEDYSA” has been developed to compare proposed dynamic spectrum allocation scheme with the conventional fixed spectrum allocation scheme. The new genetic assisted algorithm significantly out performed the fixed spectrum allocation scheme in terms of spectral efficiency.