A POMDP approach to adaptive wideband spectrum sensing based on sub-Nyquist sampling

This poster considers the problem of opportunistically accessing a wide range of frequency band. A major obstacle is that it is infeasible to perform Nyquist sampling on the wideband signal. We propose an adaptive sensing scheme based on a sub-Nyquist sampling method, which is similar to the polyphase implementation of Nyquist sampling, but requires less A/D converters. This method adaptively selects part of wideband spectrum to do sub-Nyquist sampling, by exploiting its statistical properties. The computational overhead can be significantly reduced.