A delay-centric dynamic resource allocation algorithm for wireless communication systems based on HNN

IEEE Transactions on Vehicular Technology

Volumn 57, Issue 6, 2008, Pages 3653-3665

  Calabuig, Daniel ^a   Monserrat, José F ^a   Gómez Barquero, David ^a   Cardona, Narcís ^a  

^a ITEAM RESEARCH INSTITUTE   (Spain)

Author keywords

Dynamic resource allocation (DRA); Hopfield neural networks (HNNs); Wireless networks

Indexed keywords

CELLULAR TELEPHONE SYSTEMS; COMMUNICATION; COMMUNICATION SYSTEMS; GLOBAL SYSTEM FOR MOBILE COMMUNICATIONS; HARDWARE; HOPFIELD NEURAL NETWORKS; MICROSTRIP ANTENNAS; MICROWAVE ANTENNAS; MOBILE COMPUTING; MOBILE RADIO SYSTEMS; MOBILE TELECOMMUNICATION SYSTEMS; NEURAL NETWORKS; PLANNING; QUALITY OF SERVICE; RESOURCE ALLOCATION; TELECOMMUNICATION SYSTEMS; TELEPHONE SYSTEMS; WIRELESS TELECOMMUNICATION SYSTEMS;

ALLOCATION ALGORITHMS; AVERAGE PACKET DELAYS; BIT RATES; DYNAMIC RESOURCE ALLOCATION (DRA); DYNAMIC RESOURCE ALLOCATION ALGORITHMS; DYNAMIC RESOURCES; GENERAL PACKET RADIO SERVICES; HARDWARE IMPLEMENTATIONS; ILLUSTRATIVE EXAMPLES; NRT SERVICES; OVERALL SYSTEMS; PACKET DATA SERVICES; PACKET DELAYS; REFERENCE ALGORITHMS; RESOURCE DISTRIBUTIONS; RESOURCE UTILIZATIONS; RT SERVICES; UNIVERSAL MOBILE TELECOMMUNICATIONS SYSTEMS; WIRELESS COMMUNICATION SYSTEMS;

WIRELESS NETWORKS;

EID: 57049110960     PISSN: 00189545     EISSN: None     Source Type: Journal    
DOI: 10.1109/TVT.2008.919619     Document Type: Article

References (22)

1. C. Mihailescu, X. Lagrange, and P. Godlewski, "Performance evaluation of a dynamic resource allocation algorithm for UMTS-TDD systems," in Proc. IEEE Veh. Technol. Conf., Tokyo, Japan, 2000, pp. 2339-2343.
2. L. Forkel, T. Kriengchaiyapruk, B. Wegmann, and E. Schulz, "Dynamic channel allocation in UMTS terrestrial radio access TDD systems," in Proc. IEEE Veh. Technol. Conf., Rhodes, Greece, 2001, pp. 1032-1036.
3. A. Hernández, A. Valdovinos, and F. Casadevall, "Scheduling with quality of service constraints for real-time and non-real-time traffic in WCDMA," in Proc. Int. Symp. Wireless Pers. Multimedia Commun., Aalborg, Denmark, 2001, pp. 1543-1548.
4. M. R. Sherif, I. W. Habib, M. Nagshineh, and P. Kermani, "Adaptive allocation of resources and call admission control for wireless ATM using genetic algorithms," IEEE J. Sel. Areas Commun., vol. 18, no. 2, pp.268-282, Feb. 2000.
5. S. Papavassiliou, A. Puliafito, O. Tomarchio, and J. Ye, "Integration of mobile agents and genetic algorithms for efficient dynamic network resource allocation," in Proc. IEEE Symp. Comput. Commun., Hammamet, Tunisia, 2001, pp. 456-463.
6. E. Del Re, R. Fantacci, and L. Ronga, "A dynamic channel allocation technique based on Hopfield neural networks," IEEE Trans. Veh. Technol., vol. 45, no. 1, pp. 26-32, Feb. 1996.
7. O. Lázaro and D. Girma, "A Hopfield neural-network-based dynamic channel allocation with handoff channel reservation control," IEEE Trans. Veh. Technol., vol. 49, no. 5, pp. 1578-1587, Sep. 2000.
8. C. W. Ahn and R. S. Ramakrishna, "QoS provisioning dynamic connection-admission control for multimedia wireless networks using a Hopfield neural network," IEEE Trans. Veh. Technol., vol. 53, no. 1, pp. 106-117, Jan. 2004.
9. N. García, R. Agustí, and J. Pérez-Romero, "A user-centric approach for dynamic resource allocation in CDMA systems based on Hopfield neural networks," in Proc. IST Summit, Dresden, Germany, 2005, pp. 1-5.
10. J. J. Hopfield and D. W. Tank, "Neural computation of decisions in optimization problems," Biol. Cybern., vol. 52, no. 3, pp. 141-152, Jul. 1985.
11. K. C. Tan, H. Tang, and S. S. Ge, "On parameter settings of Hopfield networks applied to traveling salesman problems," IEEE Trans. Circuits Syst., vol. 52, no. 5, pp. 994-1002, May 2005.
12. T.-N. Le and C.-K. Pham, "A new N-parallel updating method of the Hopfield type neural network for N-queens problem," in Proc. IEEE Int. Joint Conf. Neural Netw., Montreal, QC, Canada, 2005, pp. 788-791.
13. J. J. Hopfield, "Neural networks and physical systems with emergent collective computational abilities," Proc. Nat. Acad. Sci. U.S.A. vol. 79, no. 8, pp. 2554-2558, Apr. 1982.
14. J. J. Hopfield, "Neurons with graded response have collective computational properties like those of two-state neurons," Proc. Nat. Acad. Sci. U.S.A., vol. 81, no. 10, pp. 3088-3092, May 1984.
15. D. Calabuig, J. F. Monserrat, D. Gómez-Barquero, and O. Lázaro, "User bandwidth usage-driven HNN neuron excitation method for maximum resource utilization within packet-switched communication networks," IEEE Commun. Lett., vol. 10, no. 11, pp. 766-768, Nov. 2006.
16. J. Perez-Romero, O. Sallent, R. Agusti, and G. Pares, "A downlink admission control algorithm for UTRA-FDD," in Proc. IEEE Mobile Wireless Commun. Netw., Stockholm, Sweden, 2002, pp. 18-22.
17. "3GPP2-TSGC5," HTTP and FTP Traffic Model for 1xEV-DV Simulations
18. O. Lázaro, D. Girma, and J. Dunlop, "H.263 video traffic modelling for low bit rate wireless communications," in Proc. IEEE Pers. Indoor Mobile Radio Commun., Barcelona, Spain, 2004, pp. 2124-2128.
19. H. Holma and A. Toskala, WCDMA for UMTS, 3rd ed. Hoboken, NJ: Wiley, 2004.
20. M. Gudmundson, "Correlation model for shadow fading in mobile radio systems," Electron. Lett., vol. 27, no. 23, pp. 2145-2146, Nov. 1991.
21. "European Project IST-2000-25133," Advanced radio resource management for wireless services (ARROWS).
22. "3GPP TS 23.107 v 5.9.0," QoS Concept and Architecture.