A Delay-Centric Dynamic Resource Allocation Algorithm for Wireless Communication Systems Based on HNN

This paper proposes a dynamic resource-allocation (DRA) algorithm for packet data services in wireless communication systems based on Hopfleld neural networks (HNNs). The resource-allocation algorithm assumes a delay-centric approach in that it maximizes resource utilization of the overall system wh...

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Bibliographic Details
Published in:	IEEE transactions on vehicular technology Vol. 57; no. 6; pp. 3653 - 3665
Main Authors:	Calabuig, D., Monserrat, J.F., Gomez-Barquero, D., Cardona, N.
Format:	Journal Article
Language:	English
Published:	New York, NY IEEE 01.11.2008 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	3G mobile communication Algorithms Allocations Antennas Applied sciences Artificial intelligence Bit rate Computer science; control theory; systems Connectionism. Neural networks Delay Dynamic resource allocation (DRA) Dynamical systems Dynamics Electric, optical and optoelectronic circuits Electronics Exact sciences and technology Formulations Hardware Heuristic algorithms Hopfield neural networks (HNNs) Neural networks Organization and planning of networks (techniques and equipments) Packet radio networks Radiocommunications Resource management Scheduling algorithm Studies Systems, networks and services of telecommunications Telecommunications Telecommunications and information theory Wireless communication Wireless communication systems Wireless communications wireless networks Performance evaluation Hopfield neural nets Wireless telecommunication Resource allocation General packet radio service Information rate Dynamic resource allocation (DRA) Implementation Hopfield neural networks (HNNs) Dynamic allocation Optimal allocation Delay time Mobile radiocommunication wireless networks Scheduling Algorithm Information transmission Bit allocation Telecommunication system UMTS system Wireless network Dielectric resonator antennas Planning Resource management Service quality
ISSN:	0018-9545, 1939-9359
Online Access:	Get full text
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