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The authors consider how two secondary users should interact to maximize their total throughput in a two-channel sensing-based opportunistic spectrum access network where spectrum opportunities are time varying and spatially inhomogeneous. By modeling the occupancy of the primary users as discrete-time Markov chains, They obtain the optimal dynamic coordination policy using a Partially Observable Markov Decision Process (POMDP) solver. They also develop several tractable approaches - a cooperative multiuser approach based on explicit communication between the secondary users, a learning-based approach involving use of collision feedback information, and a single-user approach based on uncooperative independent decisions.
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