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cs.IT2023★ 14 cited
Energy Efficiency Optimization for Subterranean LoRaWAN Using A Reinforcement Learning Approach: A Direct-to-Satellite Scenario
Kaiqiang Lin, Muhammad Asad Ullah, Hirley Alves +2
The integration of subterranean LoRaWAN and non-terrestrial networks (NTN) delivers substantial economic and societal benefits in remote agriculture and disaster rescue operations.…
cs.IT2023
On CSI-Free Multi-Antenna Schemes for Massive Wireless-Powered Underground Sensor Networks
Kaiqiang Lin, Onel Luis Alcaraz López, Hirley Alves +1
Radio-frequency wireless energy transfer (WET) is a promising technology to realize wireless-powered underground sensor networks (WPUSNs) and enable sustainable underground monitor…