Improving Energy Efficiency of Single-Frequency Signals in Industrial Scenario

Wireless communications in industrial scenario is complicated due to severe multipath propagation which causes significant signal distortions at receiver. Application of complex equalizers and error correcting codes is not appropriate since it limits the battery life of industrial devices. In this paper, the optimization problem with the constraint on the level of signal distortions caused by multipath propagation was formulated. An industrial channel was simulated in Matlab with the use of raytracing. The obtained optimal pulse provides reduction of signal distortion level by more than 80% compared to root raised cosine pulses.

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Publication Details

Published
2024-10-17
DOI
https://doi.org/10.1109/eexpolytech62224.2024.10755604
Citations
2
Primary Topic
Sensor Technology and Measurement Systems
Type
article
Field-Weighted Citation Impact
0.70

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article

Improving Energy Efficiency of Single-Frequency Signals in Industrial Scenario

Kristina Yatsukova, Anna Orlova
2 citations
Sensor Technology and Measurement Systems
0.70
article

Improving Energy Efficiency of Single-Frequency Signals in Industrial Scenario

Kristina Yatsukova, Anna Orlova
article en
2 citations

Abstract

Wireless communications in industrial scenario is complicated due to severe multipath propagation which causes significant signal distortions at receiver. Application of complex equalizers and error correcting codes is not appropriate since it limits the battery life of industrial devices. In this paper, the optimization problem with the constraint on the level of signal distortions caused by multipath propagation was formulated. An industrial channel was simulated in Matlab with the use of raytracing. The obtained optimal pulse provides reduction of signal distortion level by more than 80% compared to root raised cosine pulses.

Peter the Great St. Petersburg Polytechnic University (RU)
Russian Science Foundation
Affordable and clean energy
Openalex Percentile: Top 26%
Sensor Technology and Measurement Systems
0.70
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