Loading [a11y]/accessibility-menu.js
Reinforcement-Learning-Based Optimization on Energy Efficiency in UAV Networks for IoT | IEEE Journals & Magazine | IEEE Xplore

Reinforcement-Learning-Based Optimization on Energy Efficiency in UAV Networks for IoT


Abstract:

The combination of nonorthogonal multiplex access and unmanned aerial vehicles (UAVs) can improve the energy efficiency (EE) for Internet of Things (IoT). On the conditio...Show More

Abstract:

The combination of nonorthogonal multiplex access and unmanned aerial vehicles (UAVs) can improve the energy efficiency (EE) for Internet of Things (IoT). On the condition of interference constraint and minimum achievable rate of the secondary users, we propose an iterative optimization algorithm on EE. First, with a given UAV trajectory, the Dinkelbach method-based fractional programming is adopted to obtain the optimal transmission power factors. By using the previous power allocation scheme, the successive convex optimization algorithm is adopted in the second stage to update the system parameters. Finally, reinforcement-learning-based optimization is introduced to obtain the best UAV trajectory.
Published in: IEEE Internet of Things Journal ( Volume: 10, Issue: 3, 01 February 2023)
Page(s): 2767 - 2775
Date of Publication: 17 October 2022

ISSN Information:

Funding Agency:


References

References is not available for this document.