• DocumentCode
    2288205
  • Title

    Hopfield neural networks for dynamic channel allocation in mobile communication systems

  • Author

    Del Re, Enrico ; Fantacci, Romano ; Ronga, Luca ; Giambene, Giovanni

  • Author_Institution
    Dept. of Electron. Eng., Florence Univ., Italy
  • Volume
    3
  • fYear
    1994
  • fDate
    28 Nov- 2 Dec 1994
  • Firstpage
    1664
  • Abstract
    The increasing demand of new services in the field of radio-mobile communications is in contrast with the capacity constraints imposed by the present communications medias. For this reason the use of techniques capable of ensuring that the spectrum assigned to mobile communications will be better exploited, is gaining an ever increasing importance. The search for an effective channel allocation technique along with the attempt to lower the computational costs of the algorithm which performs such a technique, was the aim to be achieved in our research
  • Keywords
    Hopfield neural nets; cellular radio; land mobile radio; radio spectrum management; telecommunication computing; capacity constraints; cellular radio; computational costs; dynamic channel allocation; hopfield neural networks; mobile communication systems; Channel allocation; Computational efficiency; Earth; Hopfield neural networks; Intelligent networks; Mobile communication; Performance analysis; Personal communication networks; Telecommunication network reliability; Underwater communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Telecommunications Conference, 1994. GLOBECOM '94. Communications: The Global Bridge., IEEE
  • Conference_Location
    San Francisco, CA
  • Print_ISBN
    0-7803-1820-X
  • Type

    conf

  • DOI
    10.1109/GLOCOM.1994.513158
  • Filename
    513158