UAV-Assisted Relaying and Edge Computing: Scheduling and Trajectory Optimization

By Xiaoyan Hu, Kai‐Kit Wong, Kun Yang, Zhongbin Zheng. IEEE Transactions on Wireless Communications, 2018

334 citations recorded by the source corpus.

In this paper, we study an unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC) architecture, in which a UAV roaming around the area may serve as a computing server to help user equipment (UEs) compute their tasks or act as a relay for further offloading their computation tasks to the access point (AP). We aim to minimize the weighted sum energy consumption of the UAV and UEs subject to the task constraints, the information-causality constraints, the bandwidth allocation constraints and the UAV’s trajectory constraints. The required optimization is nonconvex, and an alternating optimization algorithm is proposed to jointly optimize the computation resource scheduling, bandwidth allocation, and the UAV’s trajectory in an iterative fashion. The numerical results demonstrate that significant performance gain is obtained over conventional methods. Also, the advantages of the proposed algorithm are more prominent when handling computation-intensive latency-critical tasks.

Subfields: Aerospace Engineering, Computer Networks and Communications, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/20c41464a232cb13204a26dfacd6e8ff2e87c446

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Aerospace Engineering

1. Shimin Gong
2. Xuemin Shen
3. Hai-xia Peng

In Computer Networks and Communications

1. Zhenjian Yu
2. Yanmin Gong
3. Shimin Gong
4. Xuemin Shen
5. Yuanxiong Guo
6. Hai-xia Peng

In Computer Vision and Pattern Recognition

1. Xuemin Shen
2. Hai-xia Peng

Citations in the corpus

• Multi-Agent Reinforcement Learning Based Resource Management in MEC- and UAV-Assisted Vehicular Networks (2021, methodology): “5, 1] kbits, ci (t) ∈ [50, 100] MHz, and ci (t) ∈ [10, 50] ms.”
• Accessing From the Sky: A Tutorial on UAV Communications for 5G and Beyond (2019, neutral): “[254] X.”
• Joint Task Offloading and Resource Allocation in UAV-Enabled Mobile Edge Computing (2020, methodology): “Different from [36] which focuses on a single EC, we consider the scenario where multiple ECs and the UAV collaboratively provide MEC services to the IoT devices.”