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In this paper, we study and analyze cognitive radio networks in whichsecondary users (SUs) are equipped with Energy Harvesting (EH) capability. Wedesign a random spectrum sensing and access protocol for the SU that exploitsthe primary link's feedback and requires less average sensing time. Unlikeprevious works proposed earlier in literature, we do not assume perfectfeedback. Instead, we take into account the more practical possibilities ofoverhearing unreliable feedback signals and accommodate spectrum sensingerrors. Moreover, we assume an interference-based channel model where thereceivers are equipped with multi-packet reception (MPR) capability.Furthermore, we perform power allocation at the SU with the objective ofmaximizing the secondary throughput under constraints that maintain certainquality-of-service (QoS) measures for the primary user (PU).

Power-Optimal Feedback-Based Random Spectrum Access for an Energy Harvesting Cognitive User