NeTS: Small: From Sensing To Sharing Across Networks In White Space

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The anticipated opening up of white space by the FCC for unlicenseduse has created exciting new opportunities. It also presents uniquechallenges: (i) it requires accurate wide-band spectrum sensingtechnique to avoid interfering with primary users, and (ii) it needsdynamic spectrum sharing in heterogeneous setting both within networksand across networks.This project develops a holistic approach for spectrum sensing toaddress spatio-temporal variability and spectrum sharing amongmultiple secondary users and networks in white space. In particular,it first develops efficient and accurate spectrum sensing techniquesthat simultaneously exploit time- and frequency-domain features,sparsity in active transmitters, and temporal and spatial locality inthe transmissions. Second, it studies the cost and benefits of sharingnetwork state in a heterogeneous network where different nodes havedifferent information views. Third, it studies spectrum sharing acrossnetworks (e.g., CSMA/MaxWeight, TDMA/CSMA co-located networks). Itdevelops algorithms and studies performance and fairness both withimplicit sharing (i.e., no state-exchange) and with explicit sharingof information across networks. Fourth, it proposes a ground-up designfor white space that leverages random CDMA-like codes for spectrumsharing with an OFDM physical layer that leads to a new efficientarchitecture for sharing across users and networks in white space.The algorithms, techniques, and software resulting from this researchwill help enable effective communication in white space, create newwireless network technologies, and deepen our understanding ofwireless networks. The research results will be incorporated intonetworking courses and widely disseminated through conference/journalpublications and software distribution.