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INFOCOM
2010
IEEE

Opportunistic Spectrum Access with Multiple Users: Learning under Competition

9 years 9 months ago
Opportunistic Spectrum Access with Multiple Users: Learning under Competition
Abstract—The problem of cooperative allocation among multiple secondary users to maximize cognitive system throughput is considered. The channel availability statistics are initially unknown to the secondary users and are learnt via sensing samples. Two distributed learning and allocation schemes which maximize the cognitive system throughput or equivalently minimize the total regret in distributed learning and allocation are proposed. The first scheme assumes minimal prior information in terms of pre-allocated ranks for secondary users while the second scheme is fully distributed and assumes no such prior information. The two schemes have sum regret which is provably logarithmic in the number of sensing time slots. A lower bound is derived for any learning scheme which is asymptotically logarithmic in the number of slots. Hence, our schemes achieve asymptotic order optimality in terms of regret in distributed learning and allocation.
Animashree Anandkumar, Nithin Michael, Ao Tang
Added 28 Jan 2011
Updated 28 Jan 2011
Type Journal
Year 2010
Where INFOCOM
Authors Animashree Anandkumar, Nithin Michael, Ao Tang
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