Radio Resource Management for Cellular-Connected UAV: A Learning Approach-Reference-Cited by-同舟云学术

Radio Resource Management for Cellular-Connected UAV: A Learning Approach

Published:2023-05 Issue:5 Volume:71 Page:2784-2800
ISSN:0090-6778
Container-title:IEEE Transactions on Communications
language:
Short-container-title:IEEE Trans. Commun.

Author:

Li Yuanjian¹^ORCID,Aghvami A. Hamid¹^ORCID

Affiliation:

1. Centre for Telecommunications Research (CTR), King’s College London, London, U.K

Funder

China Scholarship Council and King's College London for their joint full-scholarship (K-CSC) to pursue his full-time Ph.D. degree at King’s College London

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/26/10128759/10086561.pdf?arnumber=10086561

Reference47 articles.

1. Uplink Precoding Optimization for NOMA Cellular-Connected UAV Networks

2. A Theoretical Performance Bound for Joint Beamformer Design of Wireless Fronthaul and Access Links in Downlink C-RAN

3. Cellular-Connected UAV: Uplink Association, Power Control and Interference Coordination

4. UAV Anti-Jamming Video Transmissions With QoE Guarantee: A Reinforcement Learning-Based Approach

5. Energy-Efficient Massive IoT Shared Spectrum Access Over UAV-Enabled Cellular Networks

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