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Related Experiment Video

Updated: Sep 30, 2025

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5G NR-U: Homogeneous Coexistence Analysis.

Siraj Muhammad1, Hazem H Refai1, Mohamad Omar Al Kalaa2

  • 1Electrical and Computer Engineering, University of Oklahoma, Tulsa, OK, USA.

... IEEE Global Communications Conference. IEEE Global Communications Conference
|March 16, 2022
PubMed
Summary
This summary is machine-generated.

This study analyzes License-Assisted Access (LAA) Listen-Before-Talk (LBT) for dense 5G networks. It finds LAA-LBT performs well in homogeneous scenarios, ensuring reliable wireless communication for critical applications like remote patient monitoring.

Keywords:
5GLBTNR-Ucoexistencee-healthwireless medical device

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Area of Science:

  • Wireless Communication Engineering
  • Telecommunications
  • Network Performance Analysis

Background:

  • License-Assisted Access (LAA) Listen-Before-Talk (LBT) is the chosen channel access method for 5G New Radio-Unlicensed (NR-U).
  • Existing research primarily focuses on heterogeneous coexistence (e.g., WiFi/LTE-LAA).
  • The performance of homogeneous LAA-LBT networks in dense environments requires specific investigation.

Purpose of the Study:

  • To analyze the homogeneous coexistence of intra-network LAA-LBT devices in dense deployments.
  • To evaluate performance metrics such as channel utilization, collision probability, and channel access delay.
  • To apply the developed framework to a real-world scenario of a 5G-enabled intensive care unit for remote patient monitoring.

Main Methods:

  • Simulation of dense LAA-LBT networks with intra-network device coexistence.
  • Analysis of performance based on ETSI-specified priority classes.
  • Framework application to a 5G NR-U intensive care unit scenario for remote patient monitoring.

Main Results:

  • Characterization of channel utilization, collision probability, and channel access delay for homogeneous LAA-LBT systems.
  • Quantification of performance under dense deployment conditions.
  • Demonstration of the framework's utility in assessing wireless coexistence for critical healthcare applications.

Conclusions:

  • Homogeneous LAA-LBT networks demonstrate predictable performance in dense scenarios.
  • The study provides a framework for evaluating wireless coexistence in critical 5G NR-U applications.
  • Findings support the deployment of LAA-LBT for reliable remote patient monitoring in healthcare settings.