CCSS: Collaborative Research: Stochastic Modeling and Optimization for Cognitive Radio Networks

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The objective of this research is to develop network protocols and optimizationtechniques to efficiently utilize the spectrum white spaces for cognitive radio networks.The proposed approach is based on a novel cognitive radio network (CRN) networkarchitecture under which effective design methodologies can be developed to take betteradvantage of cognitive radio technologies in harvesting and managing unutilizedspectrum for better service provisioning.The PIs will first study the proposed CRN architecture to enable collective spectrumsensing and let the secondary service provider manage the harvested spectrum for betterspectral efficiency while shifting the design complexity from the user side to the systemside. They will then investigate how to split traffic over harvested spectral bands tobalance the risk and reward, how to optimally utilize the spectral resource by jointlydesigning frequency allocation and routing while supporting traffic demands, and how tomaximize the throughput by joint link scheduling and routing. The proposed researchoutcome will lay the solid foundation for practical implementation of CRNs, which could potentially revolutionizes the way how cognitive radios should be more effectively used.The research outcome will significantly advance the state of the art in CRNs, opening anew avenue to designing smart living environments for public safety, disaster rescue,mobile healthcare and online social networks to improve peoples quality of life.Research findings will be disseminated through publications and talks, and in classroomteaching. This project will also actively recruit and train minority students for futureworkforce and mentor junior faculty.