Abstract
In this work, we propose a robust and efficient resource allocation scheme for UAV-enabled cellular networks that aid in disaster communications. To recover the network within a disaster area, a fast user clustering model based on K-means procedure and distributed control power coefficient will be proposed and can be embedded in the real system by using UAV-assisted relaying for real-time recovering and maintaining network during and after disasters. Algorithms of low computational complexity and fast convergence are also proposed. Numerical examples are provided to demonstrate the benefit of the proposed computational approach.
Original language | English |
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Title of host publication | IEEE SPAWC |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Print) | 978-1-5386-6529-9 |
DOIs | |
Publication status | Published - 29 Aug 2019 |
Publication series
Name | 2019 IEEE 20th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC) |
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Publisher | IEEE |
ISSN (Electronic) | 1948-3252 |
Fingerprint
Dive into the research topics of 'Real-Time Deployment and Resource Allocation for Distributed UAV Systems in Disaster Relief'. Together they form a unique fingerprint.Student theses
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Reconfigurable intelligent surface and UAV-assisted communications: A deep reinforcement learning approach
Author: Nguyen, K. K., Jul 2022Supervisor: Duong, Q. (Supervisor)
Student thesis: Doctoral Thesis › Doctor of Philosophy
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