Power Versus Spectrum 2-D Sensing in Energy Harvesting Cognitive Radio Networks

Abstract

Energy harvester based cognitive radio is a promising solution to address the shortage of both spectrum and energy. Since the spectrum access and power consumption patterns are interdependent, and the power value harvested from certain environmental sources are spatially correlated, the new power dimension could provide additional information to enhance the spectrum sensing accuracy. In this paper, the Markovian behavior of the primary users is considered, based on which we adopt a hidden input Markov model to specify the primary vs. secondary dynamics in the system. Accordingly, we propose a 2-D spectrum and power (harvested) sensing scheme to improve the primary user detection performance, which is also capable of estimating the primary transmit power level. Theoretical and simulated results demonstrate the effectiveness of the proposed scheme, in term of the performance gain achieved by considering the new power dimension. To the best of our knowledge, this is the first work to jointly consider the spectrum and power dimensions for the cognitive primary user detection problem.

Resource Allocation for an Underlay Wireless Powered Cognitive Radio

“…Problem (13) can be solved by exhaustive search in terms of η. Finally, the optimal harvesting time τ * and transmit power P * s to problem (8) are given by τ * = T η * and P * s = min …”

On optimal offline time sharing policy for energy harvesting underlay cognitive radio

“…We can include these constraints later by projecting the obtained results onto positive orthant. From (5) and (6) we obtain the optimal solution given in eq. (1).…”

“…Then, using the proposed criterion, the authors constructed a channel-aware optimal and myopic sensing policy. In [5], authors considered an EH-CR network where both the PU and SU have energy harvesting capability but they don't have any battery to store the harvested energy. So, if harvested energy is not used, it is discarded.…”

Throughput Optimization of Multichannel Allocation Mechanism under Interference Constraint for Hybrid Overlay/underlay Cognitive Radio Networks with Energy Harvesting

“…However, to create harvesting energy, SUs should sense both idle and busy channels. Considering the trade-off between spectrum efficiency and RF energy supply, energy harvesting seems to be a promising solution for CRNs [13], and various studies [10,[14][15][16][17][18][19][20] have contributed to the throughput [10,[14][15][16], outage probability [19,20], and sensing threshold [17,18].…”

“…Lee et al [10][11][12][13][14] showed that energy from ambient radio frequency (RF) from primary transmitters can be harvested by SUs, and the transmission probability and final throughput under the outage constraint were found. Yin et al [15] investigated the trade-off between harvesting and sensing throughput, and the expected manageable secondary throughput was improved while protecting primary users.…”