Optimized DM-RS Configuration for Improved 5G New Radio Network Capacity and Performance
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Published:2024-05-23
Issue:11
Volume:13
Page:2028
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ISSN:2079-9292
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Container-title:Electronics
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language:en
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Short-container-title:Electronics
Author:
Tomić Igor12, Drajić Dejan13ORCID, Ivaniš Predrag1ORCID, Savković Uroš12, Tešić Djordje12, Lorić Aleksandar12ORCID
Affiliation:
1. School of Electrical Engineering, University of Belgrade, 11020 Belgrade, Serbia 2. NEC Aspire Technology Limited, 11070 Belgrade, Serbia 3. Innovation Center of the School of Electrical Engineering in Belgrade, 11020 Belgrade, Serbia
Abstract
Network load in mobile networks is continuously growing, putting pressure on mobile operators to deliver target network performance and user experience. This paper focuses on network capacity improvement through increased spectral efficiency, which can be achieved with overhead reduction by optimizing the demodulation reference signal (DM-RS) configuration, which is one of the channels/reference signals with the largest contribution to overhead. In a high-speed scenario, the Doppler effect noticeably influences the temporal nature of the channel such that a channel interpolation process is required within a slot. However, increasing the number of symbols used for DM-RS has a negative impact on capacity. The Doppler effect was analyzed for various 5G NR configurations of operating frequency and subcarrier spacing (SCS), and various use cases were considered using user equipment (UE) speed as the main parameter. For suitable use cases, the DM-RS configuration was optimized in networks with live traffic. The impact of the configuration change on 5G/NR spectral efficiency, user experience and link adaptation performance was assessed through a deep-dive analysis of active measurements, available performance Management (PM) counters and key performance indicators. An optimized DM-RS configuration is proposed, and it is demonstrated to achieve gains of 5–15%, depending on the metric used, use case analyzed, network load, traffic mix and other relevant network characteristics such as topology and clutter type.
Reference21 articles.
1. (2023, December 06). Ericsson Mobility Report, November 2023. Available online: https://www.ericsson.com/en/reports-and-papers/mobility-report. 2. Tomic, I., Bleakley, E., and Ivanis, P. (2022). Predictive Capacity Planning for Mobile Networks—ML Supported Prediction of Network Performance and User Experience Evolution. Electronics, 11. 3. 3GPP, Technical Specification Group Radio Access Network (2024, January 31). Physical Channels and Modulation, Standard (TS) 38.211. v17.6.0, Sec. 7.4.1, 3rd Generation Partnership Project (3GPP), Technical Specification, September 2023. Available online: https://www.etsi.org/deliver/etsi_ts/138200_138299/138211/17.06.00_60/ts_138211v170600p.pdf,. 4. Dahlman, E., Parkvall, S., and Skold, J. (2018). 5G NR: The Next Generation Wireless Access Technology, Academic Press. 5. Zaidi, A., Athley, F., Medbo, J., Gustavsson, U., Durisi, G., and Chen, X. (2018). 5G Physical Layer, Elsevier.
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