Improving Data Transmission Efficiency in UAV Networks Through Adaptive Coding

In recent years, unmanned aerial vehicles (UAV) have become widely used in civil and military applications such as surveillance, data collection, and cargo delivery. With the increasing use of this technology, there is a need for improved communication systems to ensure reliable and efficient data transmission. UAV networks face unique challenges due to dynamic motion, environmental interference, and energy and bandwidth limitations. The objective of this study is to propose an adaptive coding scheme using Rate-Compatible Punctured Coding (RCPC) technology, which assigns different coding rates to different data depending on their importance and channel conditions. The proposed scheme includes a mechanism to dynamically adjust the coding rates based on the change in link quality. This study demonstrates that adaptive coding can improve resource efficiency, reduce latency, and enhance communication reliability.

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Publication Details

Published
2025-04-08
DOI
https://doi.org/10.1109/reepe63962.2025.10970889
Primary Topic
UAV Applications and Optimization
Type
article
Field-Weighted Citation Impact
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article

Improving Data Transmission Efficiency in UAV Networks Through Adaptive Coding

Majd M. Safadi, Vladislav B. Amoursky
UAV Applications and Optimization
article

Improving Data Transmission Efficiency in UAV Networks Through Adaptive Coding

Majd M. Safadi, Vladislav B. Amoursky
article en

Abstract

In recent years, unmanned aerial vehicles (UAV) have become widely used in civil and military applications such as surveillance, data collection, and cargo delivery. With the increasing use of this technology, there is a need for improved communication systems to ensure reliable and efficient data transmission. UAV networks face unique challenges due to dynamic motion, environmental interference, and energy and bandwidth limitations. The objective of this study is to propose an adaptive coding scheme using Rate-Compatible Punctured Coding (RCPC) technology, which assigns different coding rates to different data depending on their importance and channel conditions. The proposed scheme includes a mechanism to dynamically adjust the coding rates based on the change in link quality. This study demonstrates that adaptive coding can improve resource efficiency, reduce latency, and enhance communication reliability.

Bauman Moscow State Technical University (RU)
Affordable and clean energy
Openalex Percentile: Top 86%
UAV Applications and Optimization
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