Intelligent Schemes for Bandwidth Allocation in Cellular Mobile Networks

A phenomenal growth is witnessed in the development and deployment of wireless services. Wireless bandwidth is a scarce resource in a cellular mobile network and hence must be effectively utilized. This paper introduces two intelligent schemes to investigate the bandwidth allocation in cellular mobile networks namely Back Propagation Neural Network (BPN) and Particle Swarm Optimization (PSO). The performance objective is to maximize the bandwidth utilization while minimizing the bandwidth allocation for individual users. PSO and BPN methods are compared with the conventional Random Allocation and Linear Programming based Resource Reduction methods. Simulation results prove that the PSO method performs better than the BPN method.

[1]  N. K. Karthikeyan,et al.  Optimal bandwidth allocation for multimedia mobile networks using particle swarm optimization , 2007, Mobility '07.

[2]  Dapeng Wu,et al.  QoS provisioning in wireless networks , 2005, Wirel. Commun. Mob. Comput..

[3]  Chang Wook Ahn,et al.  QoS provisioning dynamic connection-admission control for multimedia wireless networks using a Hopfield neural network , 2004, IEEE Transactions on Vehicular Technology.

[4]  Peng-Yeng Yin,et al.  A hybrid particle swarm optimization algorithm for optimal task assignment in distributed systems , 2006, Comput. Stand. Interfaces.

[5]  José Neves,et al.  The fully informed particle swarm: simpler, maybe better , 2004, IEEE Transactions on Evolutionary Computation.

[6]  S. Sumathi,et al.  Introduction to neural networks using MATLAB 6.0 , 2006 .

[7]  S. N. Sivanandam,et al.  Multiprocessor Scheduling Using Hybrid Particle Swarm Optimization with Dynamically Varying Inertia , 2007, Int. J. Comput. Sci. Appl..

[8]  Hans-Jürgen Zepernick,et al.  Macrocell Path-Loss Prediction Using Artificial Neural Networks , 2010, IEEE Transactions on Vehicular Technology.

[9]  Raouf Boutaba,et al.  Call Admission Control in Mobile Cellular Networks : A Comprehensive Survey , 2004 .

[10]  J. Abdul Samath,et al.  Solution of matrix Riccati differential equation for nonlinear singular system using neural networks , 2010 .

[11]  Sri Krishna,et al.  A Novel Mobility Based Bandwidth Reduction Algorithm in Cellular Mobile Networks , 2008 .

[12]  Martin T. Hagan,et al.  Neural network design , 1995 .

[13]  N.K. Karthikeyan Krishnasamy,et al.  Bandwidth Allocation Scheme for Multimedia Mobile Networks Using Optimization Techniques , 2006, 2006 IEEE Conference on Cybernetics and Intelligent Systems.

[14]  Joong Soo Ma,et al.  Mobile Communications , 2003, Lecture Notes in Computer Science.

[15]  Lei Huang,et al.  Adaptive resource allocation for multimedia QoS management in wireless networks , 2004, IEEE Transactions on Vehicular Technology.