A LP-based Admission Control Using Artificial Neural Networks for Integrated Services in Mobile Networks

Authors:
B. P. Vijay Kumar;P. Venkataram
Affiliations:
Electrical Communication Engineering Department, Indian Institute of Science, Bangalore - 560012, India E-mail: vijaybp@ece.iisc.ernet.in;Electrical Communication Engineering Department, Indian Institute of Science, Bangalore - 560012, India E-mail: pallapa@ece.iisc.ernet.in
Venue:
Wireless Personal Communications: An International Journal
Year:
2002

Citing 9
Cited 1

Recurrent neural networks for linear programming: analysis and design principles

Computers and Operations Research - Special issue on neural networks and operations research
A resource estimation and call admission algorithm for wireless multimedia networks using the shadow cluster concept

IEEE/ACM Transactions on Networking (TON)
Performance analysis of admission control algorithms based on reward optimization for real-time multimedia servers

Performance Evaluation
Admission control with priorities: approaces for multi-rate wireless system

Mobile Networks and Applications
Neural Networks for Optimization and Signal Processing

Neural Networks for Optimization and Signal Processing
On Accommodating Mobile Hosts in an Integrated Services Packet Network

INFOCOM '97 Proceedings of the INFOCOM '97. Sixteenth Annual Joint Conference of the IEEE Computer and Communications Societies. Driving the Information Revolution
Multi-Class Connection Admission Control Policy for High Speed ATM Switches

INFOCOM '97 Proceedings of the INFOCOM '97. Sixteenth Annual Joint Conference of the IEEE Computer and Communications Societies. Driving the Information Revolution
QOS provisioning in micro-cellular networks supporting multimedia traffic

INFOCOM '95 Proceedings of the Fourteenth Annual Joint Conference of the IEEE Computer and Communication Societies (Vol. 3)-Volume - Volume 3
Distributed call admission control in mobile/wireless networks

IEEE Journal on Selected Areas in Communications

Optimal bandwidth allocation for multimedia mobile networks using particle swarm optimization

Mobility '07 Proceedings of the 4th international conference on mobile technology, applications, and systems and the 1st international symposium on Computer human interaction in mobile technology

Quantified Score

Hi-index	0.00

Visualization

Abstract

In mobile networks the traffic fluctuation is unpredictable dueto mobility and varying resource requirements of multimedia applications.Henceit is essential to maintain the traffic within the network capacity to providethe service guarantees to running applications. Thispaper proposes an Admission Control (AC) scheme in a single mobile cellularenvironment supporting real-time and non-real-time application traffic. In thecase of a real-time and non-real-time multimedia applications, eachapplication has its own distinct range of acceptable Quality of Service (QoS)requirements(e.g., packet loss, delay, jitter, etc.). The network provides the service bymaintaining the application specified QoS range. We propose a LinearProgrammingResource Reduction (LP-RR) principle for admission control by maintainingQoSguarantees to existing applications and to increase the percentage ofadmissionto real-time and non-real-time applications. Artificial Neural Networks (ANNs)are used to solve linear programming problem, which facilitates an on-lineadmissioncontrol decision in the practical systems.The simulation results demonstrate that the proposed AC schemeperforms well in terms of admitted applications and maintains lower percentageof rejection to hand-off and new applications of different traffic classes.The suggested principle also shown that it is appropriate for the fairresourceallocation with improved resource utilization.