Hill-Climbing approach for optimizing receiver bandwidth

The rapid growth in the ubiquitous wireless service has imposed increasing stress on the fixed and limited radio spectrum. Cognitive Radio (CR) is promising solution to the problem of overcrowded and inefficient use of licensed spectrum. In this paper, Interference Temperature (IT) model is used to define the occupancy and availability of a channel. Interference temperature has been proposed by the FCC as a metric for interference analysis. Our goal is to find out the useable receiver bandwidth (BW) portion of available BW. Here we have applied the principle of Hill-Climbing algorithm. By the random selection of portion of a frequency band we have performed necessary experiment and calculated the value of Received signal strength indicator (RSSI) for a given sub-band. We have subsequently used this value to maximize the effective bandwidth of a given system.