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

Authors:
Subhasree Bhattacharjee;Amit Konar;Atulya K. Nagar
Affiliations:
-;-;-
Venue:
IMIS '11 Proceedings of the 2011 Fifth International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing
Year:
2011

Citing 0
Cited 1

Exploring parallelization for medium access schemes on many-core software defined radio architecture

Proceedings of the second workshop on Software radio implementation forum

Quantified Score

Hi-index	0.00

Visualization

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).