Opponent Modeling Based Dynamic Resource Trading for UAV-Assisted Edge Computing-Reference-Cited by-同舟云学术

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Opponent Modeling Based Dynamic Resource Trading for UAV-Assisted Edge Computing

Published:2023-10-10 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 98th Vehicular Technology Conference (VTC2023-Fall)
language:
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Author:

Bai Jinxiang¹,Wang Zhe²,Li Jun¹,Shi Long¹,Zhang Jie³,Wei Kang³,He Hengtao⁴

Affiliation:

1. Nanjing University of Science and Technology,School of Electronic and Optical Engineering,Nanjing

2. Nanjing University of Science and Technology,School of Computer Science and Engineering,Nanjing

3. The Hong Kong Polytechnic University,Department of Computing,Hong Kong

4. HKUST,Department of Electronic and Computer Engineering (ECE),Hong Kong

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10333258/10333344/10333815.pdf?arnumber=10333815

Reference17 articles.

1. Design of a 5G Network Slice Extension With MEC UAVs Managed With Reinforcement Learning

2. Latency-Aware IoT Service Provisioning in UAV-Aided Mobile-Edge Computing Networks

3. Chase or Wait: Dynamic UAV Deployment to Learn and Catch Time-Varying User Activities

4. Adaptive Deployment for UAV-Aided Communication Networks

5. Price-Based Distributed Offloading for Mobile-Edge Computing With Computation Capacity Constraints

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