Signal Propagation Analysis and Optimization of 5G Communication Network Based on Complex Function Theory

Mingyang He; Tianyi Zhao

doi:10.54254/2753-8818/2026.HZ27868

Theoretical and Natural ScienceOpen access

Signal Propagation Analysis and Optimization of 5G Communication Network Based on Complex Function Theory

Research Article

Open Access

Signal Propagation Analysis and Optimization of 5G Communication Network Based on Complex Function Theory

Mingyang He ^1* Tianyi Zhao ²

¹ Beijing Beanstalk International Bilingual School

² Rock Bridge High School

^*Corresponding author: MingyangHe25HDA@bibs.com.cn

Published on 2 October 2025

TNS Vol.143

ISSN (Print): 2753-8826

ISSN (Online): 2753-8818

ISBN (Print): 978-1-80590-407-6

ISBN (Online): 978-1-80590-408-3

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Abstract

While 5G networks have revolutionized daily life and industrial applications, their signal propagation mechanisms face persistent challenges that limit performance. This paper systematically investigates the application of complex function theory to address these challenges and enhance 5G signal propagation. With cases, it analyzes the theory, demonstrating its benefits in enhancing signal processing precision, optimizing network coverage, and ensuring system stability. However, practical implementation challenges are identified, including: ideal models don’t match real hardware, analytical methods are too complex for real-time tasks, and there’s a gap between math and algorithms. To solve these, solutions like model correction (to address hardware non-idealities), the adoption of high-precision hardware and robust algorithms (to reduce computational complexity), and machine learning techniques (to bridge the math-algorithm gap) are proposed. This research provides a comprehensive framework for leveraging complex function theory to optimize 5G signal propagation, while also highlighting the necessity for future studies to validate these findings with real-world data and testing under extreme conditions.

Keywords:

5G Signal Propagation, Complex Function Theory, Beamforming Accuracy, System Stability, Algorithm Compensation

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References

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References

[1]. Li, Y., Wu, J., Guan, X., Li, B., & Xue, S. (2025). Research on Indoor 5G Signal Coverage Enhancement Techniques Based on Adaptive Beam Optimization. IEEE Internet of Things Journal.

[2]. Marák, K., Kracek, J., & Bilicz, S. (2020). Antenna array pattern synthesis using an iterative method. IEEE Transactions on Magnetics, 56(2), 1-4.

[8]. Irfan, R., & TOOR, W. A. (2017). FPGA-based Low Latency Inverse QRD Architecture for Adaptive Beamforming in Phased Array Radars. radioengineering, 26(3).

Cite this article

He,M.;Zhao,T. (2025). Signal Propagation Analysis and Optimization of 5G Communication Network Based on Complex Function Theory. Theoretical and Natural Science,143,79-88.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

About volume

Volume title: Proceedings of CONF-CIAP 2026 Symposium: International Conference on Atomic Magnetometer and Applications

ISBN: 978-1-80590-407-6(Print) / 978-1-80590-408-3(Online)

Editor: Marwan Omar , Jixi Lu , Mao Ye

Conference website: https://2026.confciap.org/hangzhou.html

Conference date: 30 January 2026

Series: Theoretical and Natural Science

Volume number: Vol.143

ISSN: 2753-8818(Print) / 2753-8826(Online)

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