Myopic sensing for multiple SUs in multichannel opportunistic access

In this paper, we consider a scenario where multiple secondary users search for idle frequency bands in a spectrum consisting of multiple channels. The state of each channel is modeled as a discrete-time Markov process. In each time slot, one secondary user(SU) chooses one channel to sense and decides whether to use the channel based on the sensing result. When there is only one SU, former work has proved that a myopic policy maximizing the current reward is optimal when the channel state transitions are positively correlated over time. In this paper, we extend the myopic policy to multiple-SU scenario. We propose and analyze two approaches that make use of the myopic policy more efficiently when multiple SUs exist.