Sensing strategy exploiting channel memory in CR network with RF energy harvesting
YH Bae, JW Baek - IEEE Communications Letters, 2018 - ieeexplore.ieee.org
YH Bae, JW Baek
IEEE Communications Letters, 2018•ieeexplore.ieee.orgThis letter considers a cognitive radio network with radio frequency energy harvesting. The
transmissions of primary users (PUs) are the opportunities for a secondary user (SU) to
harvest energy, while the idle slots unoccupied by the PUs are the opportunities for the SU
to transmit data. The channel occupancy of the PUs is assumed to follow a two-state Markov
chain, which can model time-correlated traffic of the PUs. We propose a sensing strategy to
exploit the channel correlation. Our focus is to find the optimal sensing strategy to maximize …
transmissions of primary users (PUs) are the opportunities for a secondary user (SU) to
harvest energy, while the idle slots unoccupied by the PUs are the opportunities for the SU
to transmit data. The channel occupancy of the PUs is assumed to follow a two-state Markov
chain, which can model time-correlated traffic of the PUs. We propose a sensing strategy to
exploit the channel correlation. Our focus is to find the optimal sensing strategy to maximize …
This letter considers a cognitive radio network with radio frequency energy harvesting. The transmissions of primary users (PUs) are the opportunities for a secondary user (SU) to harvest energy, while the idle slots unoccupied by the PUs are the opportunities for the SU to transmit data. The channel occupancy of the PUs is assumed to follow a two-state Markov chain, which can model time-correlated traffic of the PUs. We propose a sensing strategy to exploit the channel correlation. Our focus is to find the optimal sensing strategy to maximize the SU throughput under the energy causality constraint of the SU.
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