5G-NR PRACH Detection Performance Optimization in Context of Intra/Inter-Cell Interference

TL;DR

This paper investigates how interference affects 5G-NR PRACH detection and proposes strategies to optimize UE and cell configurations for improved performance, focusing on interference management and detection algorithms.

Contribution

It introduces optimized interference management strategies and evaluates the MF-based PRACH detection algorithm to enhance 5G-NR PRACH performance under interference conditions.

Findings

Interference management significantly improves PRACH detection accuracy.

Optimized UE and cell configurations enhance network robustness.

MF-based detection algorithm shows promising results in interference scenarios.

Abstract

The ever-evolving landscape of wireless communication technologies has led to the development of 5G-NR (5G New Radio) networks promising higher data rates and lower latency. However, with these advancements come challenges in managing intra-cell and inter-cell interference, particularly during the random-access procedure. This article aims to explore the impact of UE (User Equipment) and cell configuration parameters on interference and establish improved interference management strategies. To assess the effectiveness of these strategies, Key Performance Indicators (KPIs) such as Correct Detection Rate (CDR) will be considered. Additionally, the Matched Filtering (MF)-Based PRACH (Physical Random-Access CHannel) detection algorithm will be studied to evaluate the PRACH performance. The findings underscore the critical role of interference management and the configuration of User Equipment (UE)/Cell parameters in ensuring the robustness and reliability of the NR-PRACH performance in 5G NR networks. Optimizing these configurations can lead to improved network performance and enhanced communication quality.