6533b862fe1ef96bd12c615e

RESEARCH PRODUCT

Joint Dynamic Resource Allocation for Coupled Heterogeneous Wireless Networks Based on Hopfield Neural Networks

Daniel CalabuigJose F. MonserratNarcis CardonaDavid Martin-sacristan

subject

Artificial neural networkWireless networkComputer scienceDistributed computingComputer Science::Networking and Internet ArchitectureLocal area networkHeterogeneous wireless networkResource allocationThroughputResource managementIEEE 802.11e-2005

description

This paper proposes an algorithm to solve the problem of Joint Dynamic Resource Allocation in heterogeneous wireless networks. The algorithm is based on Hopfield Neural Networks to achieve fast and suboptimal solutions. The generic formulation is particularized and evaluated in an HSDPA and 802.11e WLAN coupled networks. Some illustrative simulations results are presented to evaluate the performance of the new algorithm as compared with other strategies. The obtained results confirm the validity of the proposal.

yearjournalcountryeditionlanguage
2008-05-01VTC Spring 2008 - IEEE Vehicular Technology Conference
https://doi.org/10.1109/vetecs.2008.477