Delay Optimization with FCFS Queuing Model in Mobile Edge Computing-Assisted UAV Swarms: A Game-Theoretic Learning Approach

Research article (2020 International Conference on Wireless Communications and Signal Processing (WCSP), 2020) · cited 16× · AI/ML
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Delay Optimization with FCFS Queuing Model in Mobile Edge Computing-Assisted UAV Swarms: A Game-Theoretic Learning Approach

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Delay Optimization with FCFS Queuing Model in Mobile Edge Computing-Assisted UAV Swarms: A Game-Theoretic Learning Approach is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Delay Optimization with FCFS Queuing Model in Mobile Edge Computing-Assisted UAV Swarms: A Game-Theoretic Learning Approach. Retrieved May 24, 2026, from https://4ort.xyz/entity/delay-optimization-with-fcfs-queuing-model-in-mobile-edge-computing-assisted-uav-swarms-a-game-theoretic-learning-approa
MLA “Delay Optimization with FCFS Queuing Model in Mobile Edge Computing-Assisted UAV Swarms: A Game-Theoretic Learning Approach.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/delay-optimization-with-fcfs-queuing-model-in-mobile-edge-computing-assisted-uav-swarms-a-game-theoretic-learning-approa.
BibTeX @misc{4ortxyz_delay-optimization-with-fcfs-queuing-model-in-mobile-edge-computing-assisted-uav-swarms-a-game-theoretic-learning-approa_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Delay Optimization with FCFS Queuing Model in Mobile Edge Computing-Assisted UAV Swarms: A Game-Theoretic Learning Approach}}, year = {2026}, url = {https://4ort.xyz/entity/delay-optimization-with-fcfs-queuing-model-in-mobile-edge-computing-assisted-uav-swarms-a-game-theoretic-learning-approa}, note = {Accessed: 2026-05-24}}
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