5 papers
Deep Reinforcement Learning-Based Cooperative Rate Splitting for Satellite-to-Underground Communication Networks
Kaiqiang Lin, Kangchun Zhao, Yijie Mao
Reliable downlink communication in satellite-to-underground networks remains challenging due to severe signal attenuation caused by underground soil and refraction in the air-soil…
Toward Sustainable Subterranean mMTC: Space-Air-Ground-Underground Networks Powered by LoRaWAN and Wireless Energy Transfer
Kaiqiang Lin, Mohamed-Slim Alouini
Wireless underground sensor networks (WUSNs), which enable real-time sensing and monitoring of underground resources by underground devices (UDs), hold great promise for delivering…
Connectivity Analysis of LoRaWAN-Based Non-Terrestrial Networks for Subterranean mMTC
Kaiqiang Lin, Mohamed-Slim Alouini
Wireless underground sensor networks (WUSNs) offer significant social and economic benefits by enabling the monitoring of subterranean entities. However, the communication reliabil…
UAV-Enabled Wireless-Powered Underground Communication Networks: A Novel Time Allocation Approach
Kaiqiang Lin, Yijie Mao, Onel Luis Alcaraz López +1
Wireless-powered underground communication networks (WPUCNs), which allow underground devices (UDs) to harvest energy from wireless signals for battery-free communication, offer a…
RIS-aided Wireless-Powered Backscatter Communications for Sustainable Internet of Underground Things
Kaiqiang Lin, Yijie Mao
Wireless-powered underground sensor networks (WPUSNs), which enable wireless energy transfer to sensors located underground, is a promising approach for establishing sustainable in…