Browsing by Author "Bouallegue, R."

Now showing items 1-6 of 6

    • Capacity enhancement in cognitive radio wireless network with dynamic spectrum access 

      Chamkhia H.; Hasna , Mazen; Bouallegue R. ( IEEE Computer Society , 2014 , Conference Paper)
      Deployment of femto-cells underlaying the macro-cell has been proven to greatly improve the system capacity and the indoor coverage. However, to successfully deploy this heterogeneous network, the interference among the ...

    • Dynamic optimization of LTE pilot scattering based on channel estimation 

      Omri A.; Hamila R.; Hasna , Mazen; Bouallegue R. ( IEEE , 2012 , Conference Paper)
      A dynamic optimization of the pilot scattering for Long Term Evolution (LTE) downlink system is introduced. This optimization is based on channel parameters estimations to optimize the number of pilots used in the transmission ...

    • Enhanced Alamouti decoding scheme for DVB-T2 systems in SFN channels 

      Omri, A.; Hamila, R.; Hazmi, A.; Bouallegue, R.; Al-Dweik, A. ( IEEE , 2011 , Conference Paper)
      The standard Alamouti space-frequency block code (SFBC) suffers from performance degradation when used over highly frequency-selective channels because the channel frequency response is not necessarily flat over the Alamouti ...

    • Estimation of highly selective channels for downlink LTE system by a robust neural network 

      Omri, A.; Hamila, R.; Hasna, M.; Bouallegue, R.; Chaieb, H. ( IEEE , 2010 , Conference Paper)
      In this paper we propose a robust channel estimator for Long Term Evolution (LTE) downlink highly selective using neural network. This method uses the information provided by the reference signals to estimate the total ...

    • Estimation of highly selective channels for downlink LTE systemby a robust neural network 

      Omri, Aymen; Hamila, R.; Hasna, M.; Bouallegue, R.; Chaieb, H. ( Hamad bin Khalifa University Press (HBKU Press) , 2010 , Conference Paper)
      In this paper we propose a robust channel estimator for the downlink of a Long Term Evolution (LTE) system using a highly selective neural network. This method uses the information provided by the reference signals to ...

    • Modified Alamouti decoding for highly selective channels for LTE systems 

      Omri A.; Hamila R.; Hasna , Mazen; Bouallegue R. ( IEEE , 2012 , Conference Paper)
      In this contribution, we propose an improvement of Alamouti coding for equalization of space-time block code multiple-input multiple-output (MIMO) orthogonal frequency-division multiplexing (OFDM) over highly-selective ...