Analysis and prospects for restoring coverage in 5G NR RedCap

This study analyzes the problems of restoring coverage in 5G NR RedCap networks designed for low-power devices. The main limitations of RedCap are considered, including a decrease in coverage radius, increased delays, and deterioration in communication quality in the uplink direction, particularly in PUSCH. The analysis showed that in the urban scenario at 2.6 GHz, the losses in PUSCH reach -3.0 dB, which requires the optimization of data transmission and radio resource management.To improve coverage, the improvements proposed in 3GPP Release 17 were analyzed, including the use of MIMO (2Rx), adaptive beamforming, and carrier aggregation. Additionally, the possibility of using a Kalman filter for the predictive estimation of channel parameters and adaptive control of transmitter power is considered, which can increase the stability of the connection.The results of the analysis emphasize the need for an integrated approach for optimizing the 5G NR RedCap, including hardware improvements, intelligent radio resource management, and the use of channel parameter prediction methods. Further research should be aimed at developing effective signal-processing algorithms to improve the reliability of communications in next-generation IoT and industrial networks.

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Publication Details

Published
2025-05-14
DOI
https://doi.org/10.1109/sist61657.2025.11139297
Primary Topic
DNA and Biological Computing
Type
article
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article

Analysis and prospects for restoring coverage in 5G NR RedCap

Aigul Kulakayeva, Aigul Nurlankyzy, Ibrahim Mektep, Gauhar Jakanova
DNA and Biological Computing
article

Analysis and prospects for restoring coverage in 5G NR RedCap

Aigul Kulakayeva, Aigul Nurlankyzy, Ibrahim Mektep, Gauhar Jakanova
article en

Abstract

This study analyzes the problems of restoring coverage in 5G NR RedCap networks designed for low-power devices. The main limitations of RedCap are considered, including a decrease in coverage radius, increased delays, and deterioration in communication quality in the uplink direction, particularly in PUSCH. The analysis showed that in the urban scenario at 2.6 GHz, the losses in PUSCH reach -3.0 dB, which requires the optimization of data transmission and radio resource management.To improve coverage, the improvements proposed in 3GPP Release 17 were analyzed, including the use of MIMO (2Rx), adaptive beamforming, and carrier aggregation. Additionally, the possibility of using a Kalman filter for the predictive estimation of channel parameters and adaptive control of transmitter power is considered, which can increase the stability of the connection.The results of the analysis emphasize the need for an integrated approach for optimizing the 5G NR RedCap, including hardware improvements, intelligent radio resource management, and the use of channel parameter prediction methods. Further research should be aimed at developing effective signal-processing algorithms to improve the reliability of communications in next-generation IoT and industrial networks.

Satbayev University (KZ), International Information Technologies University (KZ)
Openalex Percentile: Top 80%
DNA and Biological Computing
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