Communications on Applied Electronics
Foundation of Computer Science (FCS), NY, USA
|
Volume 7 - Issue 14 |
Published: Mar 2018 |
Authors: Adigwe Wilfred, Raphael Obikwelu Okonkwo |
![]() |
Adigwe Wilfred, Raphael Obikwelu Okonkwo . Optimal Allocation of TV White Spaces to White Space Devices using Genetic Algorithm and Fuzzy Rule based Technique. Communications on Applied Electronics. 7, 14 (Mar 2018), 9-16. DOI=10.5120/cae2018652756
@article{ 10.5120/cae2018652756, author = { Adigwe Wilfred,Raphael Obikwelu Okonkwo }, title = { Optimal Allocation of TV White Spaces to White Space Devices using Genetic Algorithm and Fuzzy Rule based Technique }, journal = { Communications on Applied Electronics }, year = { 2018 }, volume = { 7 }, number = { 14 }, pages = { 9-16 }, doi = { 10.5120/cae2018652756 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2018 %A Adigwe Wilfred %A Raphael Obikwelu Okonkwo %T Optimal Allocation of TV White Spaces to White Space Devices using Genetic Algorithm and Fuzzy Rule based Technique%T %J Communications on Applied Electronics %V 7 %N 14 %P 9-16 %R 10.5120/cae2018652756 %I Foundation of Computer Science (FCS), NY, USA
TV Whitespace (TVWS) refers to the unoccupied portions of spectrum in the VHF/UHF terrestrial television frequency bands. When developing a TV White Space (TVWS) system with the available TV spectrum after digital switchover, channel allocation for TVWS devices to avoid interference becomes one of the most challenging problems. Analysis has shown that there exist large quantities of these TVWS in many locations in Nigeria especially with the ongoing digital switch over. Having a proper mechanism for the allocation of these TVWS to devices known as white space devices (WSD) have been a serious concern. Thus, this paper proposes a hybrid model of fuzzy rule based technique and genetic algorithm for optimal allocation of the TVWS. The result shows that the available TVWS were maximally allocation to WSD on a real time basis. The implementation of this model will bring an alternative source for most smart devices that have been competing for the scarce spectrum as raised by the communication industries. These devices can be deployed to these unutilized spectra at low or no cost thereby freeing most of the spectrum bands.