• DocumentCode
    2852378
  • Title

    Extracting the channel allocation information in a spectrum pooling system using a prefilter delay and multiply nonlinearity

  • Author

    Oner, Mengüç ; Jondral, Friedrich

  • Author_Institution
    Inst. fur Nachrichtentechnik, Karlsruhe Univ., Germany
  • fYear
    2003
  • fDate
    28 Sept.-1 Oct. 2003
  • Firstpage
    46
  • Lastpage
    49
  • Abstract
    The spectrum pooling concept is a resource sharing strategy, which allows a license owner to share a sporadically used part of his licensed spectrum with a renter system, until he needs it himself. In order to make such a resource sharing plausible for a license owner, the impact of this strategy on the operation of the license owner system must be kept at a minimum. This means the renter system must extract the channel allocation information (CAI) from the channel, i.e. it has to detect, which parts of the shared spectrum the owner system accesses to, in order to immediately vacate the frequency bands being required by the owner and to gain access to the frequency bands, which the owner has stopped using. In this paper we propose a method for the extraction of the CAI using a prefilter delay and multiply nonlinearity in a specific spectrum pooling scenario, where the license owner is a GSM network and the spectrum renter is an OFDM based WLAN system.
  • Keywords
    OFDM modulation; cellular radio; channel allocation; wireless LAN; GSM network; OFDM based WLAN system; channel allocation information; license owner; licensed spectrum; multiply nonlinearity; prefilter delay; renter system; resource sharing strategy; spectrum pooling concept; Channel allocation; Computer aided instruction; Data mining; Delay; GSM; Licenses; OFDM; Radio spectrum management; Resource management; Wireless LAN;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Statistical Signal Processing, 2003 IEEE Workshop on
  • Print_ISBN
    0-7803-7997-7
  • Type

    conf

  • DOI
    10.1109/SSP.2003.1289336
  • Filename
    1289336