• A Deep Learning Model for LoRa Signals Classification Using Cyclostationay Features 

      Almohamad A.; Hasna , Mazen; Althunibat S.; Tekbiyik K.; Qaraqe K. ( IEEE Computer Society , 2021 , Conference Paper)
      With the witnessed exponential growth of Internet of Things (IoT) nodes deployment following the emerging applications, multiple variants of technologies have been proposed to handle the IoT requirements. Among the proposed ...
    • Fractional low order cyclostationary-based spectrum sensing in cognitive radio networks 

      Hashemi, Hadi; Fard, Sina Mohammadi; Taherpour, Abbas; Khattab, Tamer ( Springer Verlag , 2015 , Conference Paper)
      In this paper, we study the problem of cyclostationary spectrum sensing in cognitive radio networks based on cyclic properties of linear modulations. For this purpose, we use fractional order of observations in cyclic ...