首页|Deep learning-based BackCom multiple beamforming for 6G UAV IoT networks
Deep learning-based BackCom multiple beamforming for 6G UAV IoT networks
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NSTL
Springer Nature
Abstract Combining unmanned aerial vehicles (UAVs) with 6G, Internet of Things (IoT) and other emerging communication technologies could better satisfy various IoT applications and create more innovative services. This paper develops a novel hierarchical 6G IoT network with UAVs in the sky and intelligent reflective surface (IRS) equipped. The system employs backscattering communication (BackCom) to transmit data in a free-ride manner. Through beamforming, IRS enhances the energy of the reflectable signal, thereby improving the distance and performance of the BackCom. Simulation results reveal that our approach makes a significant improvement to the performance of the whole system and takes obvious advantage over traditional solutions.
UAVIoT6GDeep learning
Qi Fei、Li Wenjing、Yu Peng、Feng Lei、Zhou Fanqin
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Beijing University of Posts and Telecommunications
NSTL
Springer Nature
