Disaster-Resilient Emergency Communication With Intelligent Air–Ground Cooperation-Reference-Cited by-同舟云学术

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Disaster-Resilient Emergency Communication With Intelligent Air–Ground Cooperation

Published:2024-02-01 Issue:3 Volume:11 Page:5331-5346
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Tang Xiangdong¹^ORCID,Chen Fei¹^ORCID,Wang Feng²^ORCID,Jia Zixi³

Affiliation:

1. College of Computer Science and Technology, Qingdao University, Qingdao, China

2. Department of Computer and Information Science, University of Mississippi, Oxford, MS, USA

3. Faculty of Robot Science and Engineering, Northeastern University, Shenyang, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6488907/10413935/10224544.pdf?arnumber=10224544

Reference47 articles.

1. Routing protocols and architecture for disaster area network: A survey

2. 3-D Placement of an Unmanned Aerial Vehicle Base Station (UAV-BS) for Energy-Efficient Maximal Coverage

3. Throughput Maximization for Backscatter- and Cache-Assisted Wireless Powered UAV Technology

4. Energy-Efficient UAV-Enabled Data Collection via Wireless Charging: A Reinforcement Learning Approach

5. Trajectory Optimization for Autonomous Flying Base Station via Reinforcement Learning

Cited by 3 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. Adaptive Resource Allocation for Emergency Communications with Unmanned Aerial Vehicle-Assisted Free Space Optical/Radio Frequency Relay System;Photonics;2024-08-13

2. Post-Disaster Emergency Communications Enhanced by Drones and Non-Orthogonal Multiple Access: Three-Dimensional Deployment Optimization and Spectrum Allocation;Drones;2024-02-13

3. Geometrical Features Based-mmWave UAV Path Loss Prediction Using Machine Learning for 5G and Beyond;IEEE Open Journal of the Communications Society;2024

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