EURASIP Journal on Wireless Communications and Networking (Mar 2021)

Deep learning-based BackCom multiple beamforming for 6G UAV IoT networks

  • Fei Qi,
  • Wenjing Li,
  • Peng Yu,
  • Lei Feng,
  • Fanqin Zhou

DOI
https://doi.org/10.1186/s13638-021-01932-4
Journal volume & issue
Vol. 2021, no. 1
pp. 1 – 17

Abstract

Read online

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.

Keywords