# On Performance Evaluation of Random Access Enhancements for 5G uRLLC

**Authors:** Jayashree Thota, Adnan Aijaz

arXiv: 1901.07006 · 2019-01-23

## TL;DR

This paper evaluates various random access enhancements for 5G uRLLC, demonstrating that proposed methods can meet strict latency and reliability requirements in factory scenarios using realistic simulations.

## Contribution

It provides a comprehensive performance comparison of existing and new RA enhancements for 5G uRLLC in factory environments.

## Key findings

- Proposed RA enhancements achieve <10 ms latency with 99.99% reliability.
- Realistic system-level simulations validate the effectiveness of enhancements.
- New RA methods outperform traditional LTE RACH in dense factory scenarios.

## Abstract

One of the key challenges in realizing ultra-reliable low-latency communications (uRLLC) for factories-of-the-future (FoF) applications is to enhance the cellular random access channel (RACH) procedure. The state-of-the-art LTE RACH procedure does not fulfil the latency requirements for envisioned FoF applications. Moreover, it becomes challenging due to congestion and overloading from massive machine type communication (mMTC) devices leading to collisions especially in a densely populated factory scenarios. The main objective of this paper is to conduct a comprehensive performance evaluation of different random access (RA) enhancements for uRLLC over 5G wireless networks. Our performance evaluation is based on a realistic system-level simulator. The core enhancements considered in this work include early data transmission (EDT), reserved preambles and the use of flexible physical (PHY) layer numerology. We also propose three new RA enhancements for uRLLC. Performance evaluation demonstrates that the proposed RA enhancements can fulfil the 3GPP control plane target of less than 10 ms latency with 99.99% reliability in factory environments.

## Full text

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## Figures

10 figures with captions in the complete paper: https://tomesphere.com/paper/1901.07006/full.md

## References

18 references — full list in the complete paper: https://tomesphere.com/paper/1901.07006/full.md

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Source: https://tomesphere.com/paper/1901.07006