An efficient dynamic resource allocation algorithm for packet-switched communication networks based on Hopfield neural excitation method

Neurocomputing

Volumn 71, Issue 16-18, 2008, Pages 3439-3446

  Calabuig, D ^a   Monserrat, J F ^a   Gomez Barquero D ^a   Lazaro O ^b  

^a UNIVERSITAT POLITÈCNICA DE VALÈNCIA   (Spain)

^b Asociacion Innovalia   (Spain)

Author keywords

Dynamic resource allocation; Hopfield neural networks; Scheduling

Indexed keywords

COMPUTATIONAL METHODS; DATA PROCESSING; HOPFIELD NEURAL NETWORKS; MICROSTRIP ANTENNAS; MICROWAVE ANTENNAS; PLANNING; RESOURCE ALLOCATION; SCHEDULING; SWITCHING CIRCUITS; VEGETATION;

COMPLEX OPTIMIZATION PROBLEMS; DYNAMIC RESOURCE ALLOCATION; DYNAMIC RESOURCE ALLOCATION ALGORITHMS; DYNAMIC RESOURCE ALLOCATIONS; ENERGY FORMULATIONS; HOPFIELD; INSTABILITY PROBLEMS; NETWORK CONVERGENCES; NEURAL EXCITATIONS; NEURON DYNAMICS; PAPER ADDRESSES; RESOURCE UTILIZATIONS; SCHEDULING POLICIES; SWITCHED COMMUNICATION NETWORKS; WEIGHTING COEFFICIENTS;

NEURAL NETWORKS;

ARTIFICIAL NEURAL NETWORK; COMPUTER NETWORK; COMPUTER SYSTEM; CONFERENCE PAPER; CONSTANTS AND COEFFICIENTS; CONTROLLED STUDY; ENERGY RESOURCE; LEARNING ALGORITHM; MATHEMATICAL ANALYSIS; MULTIMEDIA; NERVE CELL STIMULATION; PRIORITY JOURNAL; PROCESS OPTIMIZATION; RESOURCE ALLOCATION; WIRELESS COMMUNICATION;

EID: 56549122447     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2007.10.009     Document Type: Conference Paper

References (9)

1. S. Abe Global convergence and suppression of spurious States of the Hopfield Neural Networks IEEE Trans. Circuits Syst. 40 4 1993
2. C.W. Ahn, and R.S. Ramakrishna QoS provisioning dynamic connection-admission control for multimedia wireless networks using a Hopfield Neural Network IEEE Trans. Vehicular Technol. 53 1 2004
3. N. García, R. Agustí, J. Pérez-Romero, 2005. A user-centric approach for dynamic resource allocation in CDMA systems based on Hopfield Neural Networks. In: Proceedings of the IST Mobile and Wireless Communications Summit, Dresden, Germany.
4. J.J. Hopfield Neurons with graded response have collective computational properties like those of two-state neurons Proc. Nat. Acad. Sci. 81 1984
5. J.J. Hopfield, and D.W. Tank Neural computation of decisions in optimization problems Biol. Cybern. 52 1985
6. S.J. Oh, D. Zhang, and K.M. Wasserman Optimal resource allocation in multiservice CDMA networks IEEE Trans. Wireless Commun. 2 4 2003
7. M. Soleimanipour, W. Zhuang, and G.H. Freeman Optimal resource management in wireless multimedia wideband CDMA systems IEEE Trans. Mobile Comput. 1 2 2002
8. L. Xu, X. Shen, and J.W. Mark Dynamic fair scheduling with QoS constraints in multimedia wideband CDMA cellular networks IEEE Trans. Wireless Commun. 3 1 2004
9. D. Zhao, X. Shen, and J.W. Mark Radio resource management for cellular CDMA systems supporting heterogeneous services IEEE Trans. Mobile Comput. 2 2 2003