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Found 8 papers, 0 papers with code
Intelligent Duty Cycling Management and Wake-up for Energy Harvesting IoT Networks with Correlated Activity
This paper presents an approach for energy-neutral Internet of Things (IoT) scenarios where the IoT devices (IoTDs) rely entirely on their energy harvesting capabilities to sustain operation.
End-to-End Waveform and Beamforming Optimization for RF Wireless Power Transfer
Radio frequency (RF) wireless power transfer (WPT) is a key technology for future low-power wireless systems.
Deep Reinforcement Learning for Multi-User RF Charging with Non-linear Energy Harvesters
Radio frequency (RF) wireless power transfer (WPT) is a promising technology for sustainable support of massive Internet of Things (IoT).
Waveform Optimization and Beam Focusing for Near-field Wireless Power Transfer with Dynamic Metasurface Antennas and Non-linear Energy Harvesters
Radio frequency (RF) wireless power transfer (WPT) is a promising technology for future wireless systems.
TinyML: Tools, Applications, Challenges, and Future Research Directions
In recent years, Artificial Intelligence (AI) and Machine learning (ML) have gained significant interest from both, industry and academia.
Energy-Efficient Wake-Up Signalling for Machine-Type Devices Based on Traffic-Aware Long-Short Term Memory Prediction
Reducing energy consumption is a pressing issue in low-power machine-type communication (MTC) networks.
Massive Wireless Energy Transfer with Statistical CSI Beamforming
A paramount benefit of the constrained precoder is the encompassment of fairness in the power allocation to the different clusters.
On CSI-free Multi-Antenna Schemes for Massive RF Wireless Energy Transfer
We characterize the distribution of the provided energy under correlated Rician fading for each scheme and find out that while AA-IS and SA cannot take advantage of the multiple antennas to improve the average provided energy, its dispersion can be significantly reduced.
