6533b81ffe1ef96bd1278eb9
RESEARCH PRODUCT
User bandwidth usage-driven HNN neuron excitation method for maximum resource utilization within packet-switched communication networks
Jose F. MonserratO. LazaroDaniel Calabuigsubject
Optimization problemArtificial neural networkWireless networkbusiness.industryComputer scienceDistributed computingTelecommunications networkComputer Science ApplicationsPacket switchingBandwidth allocationModeling and SimulationBandwidth (computing)Resource allocationResource managementElectrical and Electronic EngineeringbusinessComputer networkdescription
Mobile and wireless systems beyond 3G are being designed under the user-centric paradigm. Dynamic resource allocation (DRA) is a topic on intensive research to address efficiently such paradigm. Hopfield neural networks (HNN) have proved useful in the past to solve this kind of complex optimization problems. Recently, various approaches have been proposed to realize HNN-based user-centric DRA. However, the initial algorithms suffer from severe instability problems impacting the overall performance. This letter analyses the source of the existing limitations and proposes an enhanced formulation, ensuring maximum resource utilization while optimizing the convergence of the neural network. The letter highlights the improved performance in terms of optimum convergence and bandwidth utilization.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2006-11-01 | IEEE Communications Letters |