Receiver Statistics for Cognitive Radios in Dynamic Spectrum Access Networks
M.B. Pursley · 2012
Abstract : The fundamental theme for the research performed under the subject grant is the exploitation of receiver statistics that are obtained as packets are being demodulated and decoded in tactical cognitive radio networks. We employ receiver statistics to provide control information for adaptive protocols, improve soft-decision decoding, permit spectrum sensing while communicating, and form silencing sets in media access control. To accelerate protocol design and development, we derived methods to generate receiver statistics directly, which avoids time-consuming embedded simulations of the physical layer in performance evaluations of cross-layer protocols such as adaptive transmission, media access control, and routing protocols.