6533b7d3fe1ef96bd126082c

RESEARCH PRODUCT

Hopfield Neural Network - Based Approach for Joint Dynamic Resource Allocation in Heterogeneous Wireless Networks

Daniel CalabuigJose F. MonserratDavid Gomez-barqueroJordi Pérez-romeroN. Garcia

subject

Artificial neural networkComputer scienceWireless networkRadio access technologyNetwork packetDistributed computingBit rateResource allocationJoint (audio engineering)Dynamic resource

description

This paper presents a comprehensive approach to solve the problem of joint dynamic resource allocation (JDRA) in heterogeneous wireless networks using a Hopfield neural network (HNN). A generic formulation for packet services with delay constraints is proposed to decide the optimal bit rate and radio access technology (RAT) allocation. Some illustrative simulations results in a basic scenario are presented to evaluate performance of the proposed algorithm.

yearjournalcountryeditionlanguage
2006-09-01IEEE Vehicular Technology Conference
https://doi.org/10.1109/vtcf.2006.261