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Computation Rate Maximum for Mobile Terminals in UAV-assisted Wireless Powered MEC Networks with Fairness Constraint

arXiv 2109.05767 ↗First posted 13 Sep 2021cs.NI cs.AIcited by 0

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Abstract (arXiv)

This paper investigates an unmanned aerial vehicle (UAV)-assisted wireless powered mobile-edge computing (MEC) system, where the UAV powers the mobile terminals by wireless power transfer (WPT) and provides computation service for them. We aim to maximize the computation rate of terminals while ensuring fairness among them. Considering the random trajectories of mobile terminals, we propose a soft actor-critic (SAC)-based UAV trajectory planning and resource allocation (SAC-TR) algorithm, which combines off-policy and maximum entropy reinforcement learning to promote the convergence of the algorithm. We design the reward as a heterogeneous function of computation rate, fairness, and reaching of destination. Simulation results show that SAC-TR can quickly adapt to varying network environments and outperform representative benchmarks in a variety of situations.

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References · 12

  1. 2018Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actorcited by 4,885
  2. 2015Continuous control with deep reinforcement learningcited by 3,407
  3. 2016Asynchronous Methods for Deep Reinforcement Learningcited by 2,258
  4. 2018Soft Actor-Critic Algorithms and Applicationscited by 1,240
  5. 2020Path Planning for UAV-Mounted Mobile Edge Computing with Deep Reinforcement Learningcited by 21
  6. 2017Learning-Based Computation Offloading for IoT Devices with Energy Harvestingcited by 15
  7. 2017Computation Rate Maximization for Wireless Powered Mobile-Edge Computing with Binary Computation Offloadingcited by 10
  8. 2018Computation Rate Maximization in UAV-Enabled Wireless Powered Mobile-Edge Computing Systemscited by 8
  9. 2016Efficient 3-D Placement of an Aerial Base Station in Next Generation Cellular Networkscited by 6
  10. 2020Multi-Agent Reinforcement Learning in NOMA-aided UAV Networks for Cellular Offloadingcited by 5
  11. 2014Wireless Networks with RF Energy Harvesting: A Contemporary Surveycited by 4
  12. 2018UAV-Enabled Mobile Edge Computing: Offloading Optimization and Trajectory Designcited by 4

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