CQI Prediction Through Recurrent Neural Network for UAV Control Information Exchange Under URLLC Regime

Author:

Bartoli Giulio1ORCID,Marabissi Dania2ORCID

Affiliation:

1. Department of Information Engineering and Mathematics, University of Siena, Siena, Italy

2. Department of Information Engineering, University of Florence, Florence, Italy

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Aerospace Engineering,Automotive Engineering

Cited by 10 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. Energy-Efficient URLLC Service Provision via a Near-Space Information Network;IEEE Transactions on Wireless Communications;2024-08

2. ALPACA: An Asymmetric Loss Prediction Algorithm for Channel Adaptation Based on a Convolutional-Recurrent Neural Network in URLLC Systems;IEEE Access;2024

3. Ultra-reliable intelligent link scheduling based on DRL for manned/unmanned aerial vehicle cooperative scenarios;Physical Communication;2024-01

4. UAV Swarm Communication Reliability Prediction using Machine Learning;2023 IEEE 8th International Conference on Recent Advances and Innovations in Engineering (ICRAIE);2023-12-02

5. Transformer Neural Network for Throughput Improvement in Non-Terrestrial Networks;2023 International Conference on Network, Multimedia and Information Technology (NMITCON);2023-09-01

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