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Comparison of DECT-2020 NR and RedCap for Industrial IoT

Mai, Thao (2025)

 
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Mai, Thao
2025

Tieto- ja sähkötekniikan kandidaattiohjelma - Bachelor's Programme in Computing and Electrical Engineering
Tekniikan ja luonnontieteiden tiedekunta - Faculty of Engineering and Natural Sciences
Hyväksymispäivämäärä
2025-04-29
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:tuni-202504284218
Tiivistelmä
The growth of Industrial Internet of Things (IIoT) has increased the need for reliable and scalable wireless technologies. Therefore, with multiple new emerging standards, understanding their strengths and limitations is vital for better usage decisions as it optimizes industrial processes, leading to increased efficiency, reduced downtime, and improved safety in industrial operations. This thesis presents a technical comparison of RedCap and DECT-2020 NR based on literature review.

The main difference between DECT-2020 NR and RedCap lies in their network architecture. DECT-2020 NR uses a decentralized, mesh-based architecture, enabling direct device-to-device communication. In contrast, RedCap follows a centralized cellular model in licensed spectrum, offering stronger security, more consistent performance. This difference in architecture affects key performance metrics: DECT-2020 NR provides ultra-reliable, low-latency communication and better device density in private networks, while RedCap benefits from wide 5G coverage and mobility. In conclusion, both DECT-2020 NR and 5G RedCap are good options for IIoT applications, each suited to different needs.

This comparison has limitations as it only looks at ideal conditions and doesn't account for real-world factors like interference, costs, infrastructure, and high network traffic. Since both technologies are still developing, their performance could change with future updates.
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Kalevantie 5
PL 617
33014 Tampereen yliopisto
oa[@]tuni.fi | Tietosuoja | Saavutettavuusseloste
 

 

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Kalevantie 5
PL 617
33014 Tampereen yliopisto
oa[@]tuni.fi | Tietosuoja | Saavutettavuusseloste