Publication | Closed Access
Cognitive Radio Networks with Energy Harvesting
286
Citations
38
References
2013
Year
Dynamic Spectrum ManagementCognitive Radio Resource ManagementEnergy HarvestingEngineeringDetection ThresholdSpectrum ManagementEnergy EfficiencySpectrum SensingCognitive RadioComputer EngineeringSystems EngineeringCognitive Radio NetworksInternet Of ThingsComputer ScienceEnergy Causality ConstraintSignal ProcessingCognitive Network
A cognitive radio network with an energy‑harvesting secondary transmitter seeks to improve energy and spectral efficiency, constrained by energy causality and a collision constraint to protect the primary user. The goal is to determine an optimal spectrum‑sensing policy that maximizes expected total throughput while satisfying energy‑causality and collision constraints. The authors partition the system into spectrum‑limited and energy‑limited regimes based on the detection threshold and, assuming infinite battery capacity, derive the optimal threshold that maximizes throughput under the energy‑causality and collision constraints. Analytical and numerical results show that when the energy arrival rate falls below the expected consumption, the system becomes energy‑limited, and in that regime a lower probability of accessing occupied spectrum does not necessarily reduce access to idle spectrum.
We consider a cognitive radio network with an energy-harvesting secondary transmitter to improve both energy efficiency and spectral efficiency. The goal of this paper is to determine an optimal spectrum sensing policy that maximizes the expected total throughput subject to an energy causality constraint and a collision constraint. The energy causality constraint comes from the fact that the total consumed energy should be equal to or less than the total harvested energy, while the collision constraint is required to protect the primary user. We first show that the system can be divided into a spectrum-limited regime and an energy-limited regime depending on where the detection threshold for the spectrum sensor lies. Assuming infinite battery capacity, we derive the optimal detection threshold that maximizes the expected total throughput subject to the energy causality constraint and the collision constraint. Analytical and numerical results show that the system is energy-limited if the energy arrival rate is lower than the expected energy consumption for a single spectrum access. They also show that a decreasing probability of accessing the occupied spectrum does not always result in decreased probability of accessing the idle spectrum in the energy-limited regime.
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