Wideband Sensing for Cognitive Radio Systems in Heterogeneous Next Generation Networks

Mobile Next Generation Network (MNGN) is characterized as heterogeneous network wherevarieties of access technologies are meant to coexist. Decisions on choosing an air interface thatmeets a particular need at a particular time will be shifted from the network’s side to (a moreintelligent) user’s side. On top of that network operators and regularities have come to therealization that assigned spectrum bands are not utilized as they should be. Cognitive radiostands out as a candidate technology to address many emerging issues in MNGN such ascapacity, quality of service and spectral efficiency. As a transmission strategy, cognitive radiosystems depend greatly on sensing the radio environment. In this paper, we present a novelapproach for interference characterization in cognitive radio networks based on wideband chirpsignal. The results presented show that improved sensing accuracy is maintained at tolerablesystem complexity. Remittance