Radio frequency interface quality assessment in 4G/5G: Effects of IQ imbalance, phase noise, and nonlinearities on error vector magnitude
Modern 4G/5G technologies aim to enhance data speeds, improve communication quality, and enable innovative services such as IoT and augmented reality. However, their efficiency depends on minimizing distortions in the radio frequency (RF) interface, evaluated through Error Vector Magnitude (EVM). In...
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| Published in | PloS one Vol. 20; no. 5; p. e0324170 |
|---|---|
| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
United States
Public Library of Science
22.05.2025
Public Library of Science (PLoS) |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1932-6203 1932-6203 |
| DOI | 10.1371/journal.pone.0324170 |
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| Abstract | Modern 4G/5G technologies aim to enhance data speeds, improve communication quality, and enable innovative services such as IoT and augmented reality. However, their efficiency depends on minimizing distortions in the radio frequency (RF) interface, evaluated through Error Vector Magnitude (EVM). Increased EVM leads to packet losses and reduced throughput, making its reduction essential for stable and high-quality networks. This study investigates the impact of RF interface imperfections on EVM in 4G/5G systems. The analysis was conducted using Simulink models of digital communication transmitters and receivers, incorporating in-phase and quadrature (IQ) imbalance, phase noise, power amplifier (PA) nonlinearity, channel noise, and signal-coding scheme characteristics. The QM78207 chipset, integrating key RF components, was used as an example to reflect the complexity and quality requirements of modern RF interfaces. The results show that the maximum allowable EVM for 64-QAM is 8% (-22 dB). Variations in IQ amplitude imbalance (0–3 dB) increased EVM from -32 dB to -15 dB, while IQ phase imbalance (0°–15°) caused an increase from -32 dB to -17 dB, both for SNR = 50 dB. These findings are valuable for optimizing RF interface designs in 4G/5G systems, ensuring enhanced communication quality and supporting the growing demands for advanced services. |
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| AbstractList | Modern 4G/5G technologies aim to enhance data speeds, improve communication quality, and enable innovative services such as IoT and augmented reality. However, their efficiency depends on minimizing distortions in the radio frequency (RF) interface, evaluated through Error Vector Magnitude (EVM). Increased EVM leads to packet losses and reduced throughput, making its reduction essential for stable and high-quality networks. This study investigates the impact of RF interface imperfections on EVM in 4G/5G systems. The analysis was conducted using Simulink models of digital communication transmitters and receivers, incorporating in-phase and quadrature (IQ) imbalance, phase noise, power amplifier (PA) nonlinearity, channel noise, and signal-coding scheme characteristics. The QM78207 chipset, integrating key RF components, was used as an example to reflect the complexity and quality requirements of modern RF interfaces. The results show that the maximum allowable EVM for 64-QAM is 8% (-22 dB). Variations in IQ amplitude imbalance (0–3 dB) increased EVM from -32 dB to -15 dB, while IQ phase imbalance (0°–15°) caused an increase from -32 dB to -17 dB, both for SNR = 50 dB. These findings are valuable for optimizing RF interface designs in 4G/5G systems, ensuring enhanced communication quality and supporting the growing demands for advanced services. Modern 4G/5G technologies aim to enhance data speeds, improve communication quality, and enable innovative services such as IoT and augmented reality. However, their efficiency depends on minimizing distortions in the radio frequency (RF) interface, evaluated through Error Vector Magnitude (EVM). Increased EVM leads to packet losses and reduced throughput, making its reduction essential for stable and high-quality networks. This study investigates the impact of RF interface imperfections on EVM in 4G/5G systems. The analysis was conducted using Simulink models of digital communication transmitters and receivers, incorporating in-phase and quadrature (IQ) imbalance, phase noise, power amplifier (PA) nonlinearity, channel noise, and signal-coding scheme characteristics. The QM78207 chipset, integrating key RF components, was used as an example to reflect the complexity and quality requirements of modern RF interfaces. The results show that the maximum allowable EVM for 64-QAM is 8% (-22 dB). Variations in IQ amplitude imbalance (0-3 dB) increased EVM from -32 dB to -15 dB, while IQ phase imbalance (0°-15°) caused an increase from -32 dB to -17 dB, both for SNR = 50 dB. These findings are valuable for optimizing RF interface designs in 4G/5G systems, ensuring enhanced communication quality and supporting the growing demands for advanced services.Modern 4G/5G technologies aim to enhance data speeds, improve communication quality, and enable innovative services such as IoT and augmented reality. However, their efficiency depends on minimizing distortions in the radio frequency (RF) interface, evaluated through Error Vector Magnitude (EVM). Increased EVM leads to packet losses and reduced throughput, making its reduction essential for stable and high-quality networks. This study investigates the impact of RF interface imperfections on EVM in 4G/5G systems. The analysis was conducted using Simulink models of digital communication transmitters and receivers, incorporating in-phase and quadrature (IQ) imbalance, phase noise, power amplifier (PA) nonlinearity, channel noise, and signal-coding scheme characteristics. The QM78207 chipset, integrating key RF components, was used as an example to reflect the complexity and quality requirements of modern RF interfaces. The results show that the maximum allowable EVM for 64-QAM is 8% (-22 dB). Variations in IQ amplitude imbalance (0-3 dB) increased EVM from -32 dB to -15 dB, while IQ phase imbalance (0°-15°) caused an increase from -32 dB to -17 dB, both for SNR = 50 dB. These findings are valuable for optimizing RF interface designs in 4G/5G systems, ensuring enhanced communication quality and supporting the growing demands for advanced services. |
| Audience | Academic |
| Author | Boiko, Juliy Kovtun, Viacheslav Kovtun, Oksana Pyatin, Ilya |
| AuthorAffiliation | 2 Department of Telecommunications, Media and Intelligent Technologies, Khmelnytskyi National University, Khmelnytskyi, Ukraine 4 Department of the Theory and Practice of Translation, Faculty of Foreign Languages, Vasyl’ Stus Donetsk National University, Vinnytsia, Ukraine Guangdong University of Petrochemical Technology, CHINA 1 Department of Computer Engineering, Khmelnytskyi Polytechnic Professional College by Lviv Polytechnic National University, Khmelnytskyi, Ukraine 3 Computer Control Systems Department, Vinnytsia National Technical University, Vinnytsia, Ukraine |
| AuthorAffiliation_xml | – name: Guangdong University of Petrochemical Technology, CHINA – name: 3 Computer Control Systems Department, Vinnytsia National Technical University, Vinnytsia, Ukraine – name: 1 Department of Computer Engineering, Khmelnytskyi Polytechnic Professional College by Lviv Polytechnic National University, Khmelnytskyi, Ukraine – name: 2 Department of Telecommunications, Media and Intelligent Technologies, Khmelnytskyi National University, Khmelnytskyi, Ukraine – name: 4 Department of the Theory and Practice of Translation, Faculty of Foreign Languages, Vasyl’ Stus Donetsk National University, Vinnytsia, Ukraine |
| Author_xml | – sequence: 1 givenname: Ilya surname: Pyatin fullname: Pyatin, Ilya – sequence: 2 givenname: Juliy surname: Boiko fullname: Boiko, Juliy – sequence: 3 givenname: Viacheslav orcidid: 0000-0002-7624-7072 surname: Kovtun fullname: Kovtun, Viacheslav – sequence: 4 givenname: Oksana surname: Kovtun fullname: Kovtun, Oksana |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/40403101$$D View this record in MEDLINE/PubMed |
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| SubjectTerms | 5G mobile communication Algorithms Augmented reality Channel noise Chips (electronics) Computer Communication Networks - instrumentation Data transmission Design Engineering and Technology Evaluation Fourth generation wireless technology Humans Intelligence Interfaces Nonlinear systems Nonlinearity Optimization Phase noise Physical Sciences Power amplifiers Quadratures Quality assessment Quality control Radio frequency Radio Waves Receivers & amplifiers Signal-To-Noise Ratio Transmitters Wireless communications Wireless Technology - instrumentation |
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| Title | Radio frequency interface quality assessment in 4G/5G: Effects of IQ imbalance, phase noise, and nonlinearities on error vector magnitude |
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