Artificial Intelligence-Defined Wireless Networking for Computational Offloading and Resource Allocation in Edge Computing Networks
Author:
Affiliation:
1. School of Systems and Computing, The University of New South Wales, Canberra, ACT, Australia
2. School of Engineering, Royal Melbourne Institute of Technology, Melbourne, VIC, Australia
Funder
School of Systems and Computing, University of New South Wales, Canberra, Australia
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/8782661/10362961/10480671.pdf?arnumber=10480671
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1. Edge-computing-driven Internet of Things: A Survey
2. Management and Orchestration of Edge Computing for IoT: A Comprehensive Survey
3. Machine and Deep Learning for Resource Allocation in Multi-Access Edge Computing: A Survey
4. A survey on computation offloading modeling for edge computing
5. User Scheduling and Task Offloading in Multi-Tier Computing 6G Vehicular Network
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1. Network Slicing-Assisted Task Transmission and Offloading Based on H-NOMA UAV Communication;Proceedings of the 2024 Asia Pacific Conference on Computing Technologies, Communications and Networking;2024-07-26
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