Learning-Based Latency and Energy Optimization in SCMA-Enhanced UAV-MEC Networks
Author:
Affiliation:
1. National University of Defense Technology,College of Electronic Science and Technology,Changsha,China,410073
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10233255/10233122/10233490.pdf?arnumber=10233490
Reference13 articles.
1. Radio resource allocation for uplink sparse code multiple access (SCMA) networks using matching game
2. Enhanced LTE support for aerial vehicles;3rd Generation Partnership Project (3GPP) Technical report (TR) 36 777 12 2017 version 15 0 0,0
3. SCMA-Based Multi-Access Edge Computing in IoT Systems: An Energy-Efficiency and Latency Tradeoff
4. Sparse Code Multiple Access-Based Edge Computing for IoT Systems
5. Mobile Edge Computing via a UAV-Mounted Cloudlet: Optimization of Bit Allocation and Path Planning
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1. Joint Trajectory and Resource Optimization for Multi-UAV Cooperative Computation;2024 IEEE International Conference on Communications Workshops (ICC Workshops);2024-06-09
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