Paper Info
Title
Genetic modeling: solution to channel assignment problem
Abstract
Interference in wireless/mobile communications can be reduced by deploying efficient radio subsystems and by making use of channel assignment techniques. The number of frequencies assigned to each base station must be chosen large enough to satisfy the given demand in the corresponding cell. In this paper, authors made an attempt to combine advantages of all existing individual techniques, which results legal frequency assignments without any interference. The main optimization work with the genetic algorithm is done to search for an optimal call list and not to directly find an optimal frequency assignment. The application of our combined genetic algorithm method to very different frequency-assignment problems has revealed that it is possible to get very good results without any parameter adjustment.
Year
DOI
Venue
2005
10.1007/11554028_24
KES (4)
Keywords
Field
DocType
optimal frequency assignment,combined genetic algorithm method,genetic modeling,efficient radio subsystems,genetic algorithm,legal frequency assignment,base station,optimal call list,channel assignment technique,different frequency-assignment problem,corresponding cell,genetics,satisfiability,mobile communication
Wireless network,Base station,Mathematical optimization,Search algorithm,Computer science,Assignment problem,Artificial intelligence,Frequency assignment,Frequency allocation,Channel allocation schemes,Genetic algorithm
Conference
Volume
ISSN
ISBN
3684
0302-9743
3-540-28897-X
Citations 
PageRank 
References 
0
0.34
2
Authors
5
Name
Order
Citations
PageRank
Preeti R. Bajaj18114.51
Avinash G. Keskar2127.41
Amol Deshmukh35811.09
Sanjay S. Dorle411.76
Dinesh Padole512.74