Double Deep Q-Learning-based Path Selection and Service Placement for Latency-Sensitive Beyond 5G Applications-Reference-Cited by-同舟云学术

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Double Deep Q-Learning-based Path Selection and Service Placement for Latency-Sensitive Beyond 5G Applications

Published:2023 Issue: Volume: Page:1-14
ISSN:1536-1233
Container-title:IEEE Transactions on Mobile Computing
language:
Short-container-title:IEEE Trans. on Mobile Comput.

Author:

Shokrnezhad Masoud¹^ORCID,Taleb Tarik¹^ORCID,Dazzi Patrizio²^ORCID

Affiliation:

1. Oulu University, Oulu, Finland

2. University of Pisa, Pisa, Italy

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Software

Link

http://xplorestaging.ieee.org/ielx7/7755/4358975/10207694.pdf?arnumber=10207694

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Rescue path planning for urban flood: A deep reinforcement learning–based approach;Risk Analysis;2024-08-11

2. ORIENT: A Priority-Aware Energy-Efficient Approach for Latency-Sensitive Applications in 6G;ICC 2024 - IEEE International Conference on Communications;2024-06-09

3. Joint Network Slicing, Routing, and In-Network Computing for Energy-Efficient 6G;2024 IEEE Wireless Communications and Networking Conference (WCNC);2024-04-21

4. A Semantic-Aware Multiple Access Scheme for Distributed, Dynamic 6G-Based Applications;2024 IEEE Wireless Communications and Networking Conference (WCNC);2024-04-21

5. QoS-Aware Service Prediction and Orchestration in Cloud-Network Integrated Beyond 5G;GLOBECOM 2023 - 2023 IEEE Global Communications Conference;2023-12-04

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