We study the cooperative spectrum sharing in the cognitive radio network with wireless energy harvesting (EH), where all the primary and secondary users are overlaid on the two-dimensional plane. Each primary user (PU) should harvest energy from the wireless signal sent by its access point (AP), while all the APs and the secondary users have the stable power supply. To improve the EH efficiency, an EH zone is applied around each PU, where the secondary transmitter (ST) with the shortest distance towards the PU is selected to transfer the wireless energy. Using the harvested energy, the PU can transmit its data over the reverse link to the AP, but the data transmission is more likely to fail due to the weak transmission power and the severe pathloss. In this case, a cooperative region is applied between each PU and its corresponding AP, where a suitable ST with the best channel quality towards the AP is selected to forward the primary data. The performance requirement of the primary system can be easily satisfied with the ST cooperation and thus a fraction of bandwidth can be released to the secondary data transmission. The optimization problem is formulated to maximize the area throughput of the secondary system under the performance constraint of the primary system. Through analyzing the system performance using the stochastic geometry theory, we propose an algorithm to optimally allocate the bandwidth and time resources to facilitate both the EH and the data transmission. Performance results are presented to validate our theoretical analysis and show the impacts of various system settings.
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