A Fuzzy-Neural Based Approach for Joint Radio Resource Management in a Beyond 3G Framework

Authors:
R. Agusti;O. Sallent;J. Perez-Romero;L. Giupponi
Affiliations:
Universitat Politècnica de Catalunya;Universitat Politècnica de Catalunya;Universitat Politècnica de Catalunya;Universitat Politècnica de Catalunya
Venue:
QSHINE '04 Proceedings of the First International Conference on Quality of Service in Heterogeneous Wired/Wireless Networks
Year:
2004

Citing 0
Cited 12

A QoS enabling queuing scheme for 4G wireless access networks

Proceedings of the 2006 international conference on Wireless communications and mobile computing
A framework for JRRM with resource reservation and multiservice provisioning in heterogeneous networks

Mobile Networks and Applications
Adaptive bandwidth management and joint call Admission control to enhance system utilization and QoS in heterogeneous wireless networks

EURASIP Journal on Wireless Communications and Networking
Joint call admission control algorithms: Requirements, approaches, and design considerations

Computer Communications
Access network selection based on fuzzy logic and genetic algorithms

Advances in Artificial Intelligence
An Adaptive Threshold Load Balancing Scheme for the End-to-End Reconfigurable System

Wireless Personal Communications: An International Journal
Access network selection for coexisted WWAN, WMAN and WLAN using combined fuzzy logic and AHP

International Journal of Innovative Computing and Applications
Fair profit allocation in the spectrum auction using the Shapley value

GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Optimal joint call admission control with vertical handoff on heterogeneous networks

NETWORKING'11 Proceedings of the 10th international IFIP TC 6 conference on Networking - Volume Part II
The evolution to 4G cellular systems: LTE-Advanced

Physical Communication
Immune optimization algorithm for solving joint call admission control problem in next-generation wireless network

Engineering Applications of Artificial Intelligence
UDS: A Distributed RAT Selection Mechanism for Heterogeneous Wireless Networks

Wireless Personal Communications: An International Journal

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents a comprehensive framework to develop Joint RRM (Radio Resource Management) strategies taking full advantage of the reconfigurable equipment capabilities and the diversity offered by available RATs (Radio Access Technologies) in a multi-radio environment. The envisaged JRRM treatment calls for establishing links with all the entities involved, first at functional level, identifying realistic scenarios in terms of deployment, technologies and services and managing the emerging complexity with proper algorithms. Then, a Fuzzy-neural methodology framework able to cope with the complexities and uncertainties these new scenarios rise is presented. In particular both technical and economical aspects are considered when selecting a particular RAT. Finally some significant examples of the algorithm behaviour are shown.