Channel Allocation for a Single Cell Cognitive Radio Network Using Genetic Algorithm

Author

Bhattacharjee, Subhasree ; Konar, Amit ; Gar, Atulya K Na

Author_Institution

Dept. of CA, Narula Inst. of Technol., Kolkata, India

fYear

2011

fDate

June 30 2011-July 2 2011

Firstpage

258

Lastpage

264

Abstract

We have considered a cognitive radio network in which there is a single cell and a Base Station (BS) within that cell. Our objective is to maximize the channel allocation of the active subscribers within that network. Genetic Algorithm (GA) has been used to solve the allocation problem. Power control has not been considered here. Our approach channel allocation using GA (CAGA) yields better result with respect to percentage of customer premise equipment (CPEs) covered than previously reported Dynamic Interference Graph (DIGA) allocation and Minimum Incremental power allocation method (MIPA).

Keywords

channel allocation; cognitive radio; genetic algorithms; graph theory; radio networks; radiofrequency interference; DIGA allocation; MIPA; base station; channel allocation; customer premise equipment; dynamic interference graph; genetic algorithm; minimum incremental power allocation method; power control; single cell cognitive radio network; Biological cells; Channel allocation; Cognitive radio; Computer architecture; Genetic algorithms; Interference; Resource management; Customer premise equipment; Genetic Algorithm; channel allocation;

fLanguage

English

Publisher

ieee

Conference_Titel

Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS), 2011 Fifth International Conference on

Conference_Location

Seoul

Print_ISBN

978-1-61284-733-7

Electronic_ISBN

978-0-7695-4372-7

Type

conf

DOI

10.1109/IMIS.2011.64

Filename

5976169