  An energy harvesting cognitive radio scenario is considered where a secondary
user (SU) with finite battery capacity opportunistically accesses the primary
user (PU) channels. The objective is to maximize the throughput of SU under
energy neutrality constraint and fading channel conditions in a single-user
multi-channel setting. Channel selection criterion based on the probabilistic
availability of energy with SU, channel conditions, and primary network's
belief state is proposed, which chooses the best subset of channels for
sensing, yielding higher throughput. We construct channel-aware optimal and
myopic sensing strategies in a Partially Observable Markov Decision Process
framework based on the proposed channel selection criterion. The effects of
sensing errors and collisions between PU and SU on the throughput of latter are
studied. It is shown that there exists a trade-off between the transmission
duration and the energy lost in collisions.
