Paper Info
Title
Optimization of QoS Parameters for Channel Allocation in Cellular Networks Using Soft Computing Techniques.
Abstract
The usage of mobile communications systems has grown exponentially. But the bandwidth available for mobile communications is finite. Hence there is a desperate attempt to optimize the channel assignment schemes. In this work, some of the quality of service parameters such as residual bandwidth, number of users, duration of calls, frequency of calls and priority are considered. Genetic Algorithm and Artificial Neural Networks is used to determine the optimal channel assignment considering the quality of service parameters. The simulation results show that Genetic Algorithm performs better than Heuristic Method. But application of Artificial Neural Networks outperforms Genetic Algorithm and Heuristic method by a considerable margin. Channel allocation can be optimized using these soft computing techniques resulting in better throughput.
Year
DOI
Venue
2011
10.1007/978-81-322-0487-9_60
PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON SOFT COMPUTING FOR PROBLEM SOLVING (SOCPROS 2011), VOL 1
Keywords
Field
DocType
Genetic Algorithm,Channel Allocation,Quality of Service,Artificial Neural Network,Throughput
Heuristic,Computer science,Communication channel,Theoretical computer science,Bandwidth (signal processing),Cellular network,Soft computing,Throughput,Channel allocation schemes,Genetic algorithm,Distributed computing
Conference
Volume
ISSN
Citations 
130
1867-5662
2
PageRank 
References 
Authors
0.40
4
2
Name
Order
Citations
PageRank
Narendran Rajagopalan162.85
C. Mala2259.19