QuickSense: Fast and Energy-Efficient Channel Sensing for Dynamic Spectrum Access Networks
Spectrum sensing, the task of discovering spectrum usage at a given location, is a fundamental problem in dynamic spectrum access networks. While sensing in narrow spectrum bands is well studied in previous work, wideband spectrum sensing is challenging since a wideband radio is generally too expensive and power consuming for mobile devices. Sequential scan, on the other hand, can be very slow if the wide spectrum band contains many narrow channels. In this paper, the authors propose an analog-filter based spectrum sensing technique, which is much faster than sequential scan and much cheaper than using a wideband radio.