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Integration of 5G Experimentation Infrastructures into a Multi-Site NFV Ecosystem

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Resource Allocation in 5G Cellular IoT Systems with Early Transmissions at the Random Access Phase.

Anastasia Daraseliya¹, Eduard Sopin¹, Vyacheslav Begishev¹

¹Telecommunications Research Institute, HSE University, Moscow 101000, Russia.

Sensors (Basel, Switzerland)

|April 12, 2025

Summary

Early data transmission in cellular Internet-of-Things (CIoT) significantly reduces uplink packet delays by up to 40%. Dynamic resource allocation is crucial for optimizing 5G massive machine type communications (mMTC) performance.

Keywords:

5G CIoT delay early transmissions mMTC optimal resource allocation random access

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Area of Science:

Telecommunications Engineering
Wireless Communication Systems

Background:

Massive Machine Type Communications (mMTC) market growth outpaces 5G-grade Cellular Internet-of-Things (CIoT) standardization.
Early data transmission via preambles in Narrowband IoT (NB-IoT) offers an interim solution for 4G/5G systems.

Purpose of the Study:

To propose a model for CIoT systems evaluating early transmission functionality.
To assess optimal resource distribution during random access and data transmission phases for CIoT.

Main Methods:

Developed a model capturing both random access and data transmission phases.
Incorporated diverse traffic compositions for downlink and uplink directions.
Analyzed systems with and without early transmission functionality.

Main Results:

Early transmission functionality reduces uplink packet delay by 20-40%, even with shared resources.
The optimal resource allocation between random access and data transmission phases is impacted by early transmission.
Dynamic resource allocation is essential for achieving optimal performance in 5G mMTC.

Conclusions:

Early data transmission is a viable strategy to enhance CIoT uplink performance.
Dynamic resource allocation strategies are critical for maximizing the efficiency of 5G mMTC systems.
Future CIoT systems can benefit from integrating early transmission and adaptive resource management.