Networking Cognitive Radios for Tactical

This research aims to develop fundamental theories and practical protocols for tactical communication networks of cognitive radios. It focuses on three key areas of cognitive networking: (i) opportunity sensing and cognition; (ii) opportunity tracking and exploitation; and (iii) cognitive networking. We have successfully completed this project. Below we highlight a few most important results obtained under this project. In the area of opportunity sensing, our work on quickest opportunity detection is the first that exploits the presence of multiple channels and the heavy-tail distribution of the connection time in opportunity detection. It gives a fresh twist to the classic problem of quickest change detection in a single stochastic process. In the area of opportunity tracking and exploitation, we have developed low-complexity yet optimal strategies that are robust to model mismatch and variations and capable of tracking fast time-varying spectrum opportunities. Furthermore, they are capable of handling primary systems that are asynchronous and unslotted with general traffic model. In the area of cognitive networking, we obtained the first set of results on analyzing the connectivity and multi-hop delay of heterogeneous networks. We also developed online distributed learning algorithms for cognitive networking under unknown and dynamic models of the coexisting primary systems. (a) Papers published in peer-reviewed journals (N/A for none) Enter List of papers submitted or published that acknowledge ARO support from the start of the project to the date of this printing. List the papers, including journal references, in the following categories: