2018
Mobile Bayesian Spectrum Learning for Heterogeneous Networks
ICASSP 2018accepted
Spectrum sensing in heterogeneous networks is very challenging as it usually requires a large number of static secondary users (SUs) to capture the global spectrum states. In this paper, we tackle the spectrum sensing in heterogeneous networks from a new perspective. We exploit the mobility of multi…