Impact of Voice Activity Detection on Channel Allocation in Cellular Networks

  • Limsaksri, Wichan (Department of Electronics Faculty of Engineering and Research Center for Communications and Information Technology (ReCCIT), King Mongkut's Institute of Technology Ladkrabang) ;
  • Thipchaksurat, Sakchai (Department of Computer Engineering Faculty of Engineering and Research Center for Communications and Information Technology (ReCCIT), King Mongkut's Institute of Technology Ladkrabang) ;
  • Varakulsiripunth, Ruttikorn (Department of Electronics Faculty of Engineering and Research Center for Communications and Information Technology (ReCCIT), King Mongkut's Institute of Technology Ladkrabang)
  • 발행 : 2004.08.25

초록

In this paper, the performance enhancement algorithm of channel allocation for voice and data transmission in cellular networks is proposed. The voice activity detection has been applied to dynamic channel allocation procedure to detect and separate the silence and speech among conversation periods. Hence a data user can use the silent period of an active voice channel to transmit its information. To control the selecting of channel allocation policies, the information of number of data in transmission waiting queue has been determined in order to accept the performance measurement. In the simulation results, the improvement of the performance shows via the quality of services, which are an average delay in queue, a blocking probability, and an impact of the proposed scheme is presented in the system.

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