Data Cooperative Transmission and Resource Allocation Algorithm in Aviation Communication
Pages 177 - 182
Abstract
With the increase of global flights, the complexity and workload of aviation communication system are increasing. Aviation communication system needs to meet the requirements of communication reliability, real-time performance and bandwidth requirements. In order to solve these problems, data cooperative transmission and resource allocation algorithms are proposed and applied to aviation communication. This paper studies the optimization of data cooperative transmission and resource allocation algorithm in aviation communication. After studying the existing traditional algorithms, a resource allocation algorithm based on machine learning to realize online learning is deeply studied to improve resource utilization, communication efficiency and data transmission reliability. Through simulation experiments and analysis, the results show that the resource allocation algorithm based on machine learning is superior to the traditional algorithm, which can significantly improve the communication success rate, reduce the failure rate and time delay, and reduce energy consumption. The experimental results show that the communication success rate is increased by 10.2%, the failure rate is reduced by 23.8%, the average delay is reduced by 9.4%, and the energy consumption is reduced by 16.7%. This scheme fully improves the communication efficiency and reliability, and can be widely used in future aviation communication. Therefore, the resource allocation algorithm based on machine learning is an important direction of data collaborative transmission and resource allocation algorithm optimization in aviation communication.
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Published In
September 2023
370 pages
ISBN:9798400708800
DOI:10.1145/3617184
Copyright © 2023 ACM.
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Published: 28 December 2023
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ICCSIE 2023
ICCSIE 2023: 8th International Conference on Cyber Security and Information Engineering
September 22 - 24, 2023
Putrajaya, Malaysia
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