Ultra-Reliable Low-Latency Communications in 5G Networks

Summary

Ultra-Reliable Low-Latency Communications (URLLC) constitutes a cornerstone service category in fifth-generation (5G) networks, designed to deliver end-to-end latencies of the order of one millisecond combined with packet-delivery reliabilities exceeding 99.999 per cent. By exploiting flexible numerologies, mini-slot scheduling and advanced error-control protocols, URLLC supports mission-critical applications such as industrial automation, autonomous vehicles, remote healthcare and augmented-reality services. Its architecture relies on network slicing to allocate dedicated resources, edge computing to process data close to end users, and grant-free access schemes to eliminate scheduling delays. Diversity techniques—spatial, frequency and temporal—are employed alongside massive multiple-input multiple-output (MIMO) antenna arrays to safeguard against fading and interference. Hybrid Automatic Repeat reQuest (HARQ) mechanisms, optimised retransmission strategies and stringent quality-of-service frameworks ensure that ultra-low latencies coexist with ultra-high reliability. Globally, URLLC underpins the transition to Industry 4.0, the Internet of Things and beyond-5G paradigms, enabling real-time control, tactile Internet interactions and robust machine-to-machine communications at unprecedented scales.

Research from Nature Portfolio

No recent Nature Portfolio content available.

Ultra-Reliable Low-Latency Communications in 5G Networks publication trend

The graph below shows the total number of articles in ultra-reliable low-latency communications in 5g networks across all publications each year (not limited to Nature Index journals).

Technical terms

Ultra-Reliable Low-Latency Communications (URLLC): Service class in 5G targeting end-to-end latencies around 1 ms and packet-delivery reliabilities above 99.999 per cent.

Grant-free access: Uplink transmission method allowing devices to transmit without awaiting explicit scheduling grants, thereby reducing access latency.

Hybrid Automatic Repeat reQuest (HARQ): Combined error-control scheme that employs forward-error correction and retransmissions to ensure data integrity under stringent latency constraints.

Network slicing: Logical partitioning of physical network resources into isolated “slices,” each optimised for specific service requirements such as URLLC or eMBB.

Massive MIMO: Deployment of large antenna arrays at base stations to enhance spectral efficiency, beamforming gain and link reliability through spatial diversity.

References

  1. Contention-Based mMTC/URLLC Coexistence Through Coded Random Access and Massive MIMO. IEEE Journal of Selected Topics in Signal Processing (2024).
  2. Saving Energy and Spectrum in Enabling URLLC Services: A Scalable RL Solution. IEEE Transactions on Industrial Informatics (2023).
  3. An Overview of Physical Layer Design for Ultra-Reliable Low-Latency Communications in 3GPP Releases 15, 16, and 17. IEEE Access (2020).
  4. URLLC and eMBB in 5G Industrial IoT: A Survey. IEEE Open Journal of the Communications Society (2022).

About these summaries

This Nature Research Intelligence Topic summary is created with the cited references and a large language model. We take care to ground generated text with facts, and have systems in place to gain human feedback on the overall quality of the process in line with our AI principles. We strive to create accurate and useful summaries for people unfamiliar with the research topic and that supports this goal. These pages are a beta release and will be updated as we learn how best to help people gain value from a research topic summary.

Nature Strategy Reports
Turn complex research questions into confident strategic decisions 

When you're under pressure to set direction, justify investment, or understand your competitive position, you need more than raw data — you need trusted insights you can act on.

  • Benchmark your performance against global peers using robust, methodologically sound analysis.

  • Combine quantitative metrics with qualitative expert insight to uncover strengths, gaps and emerging opportunities.

  • Gain tailored, decision-ready recommendations aligned to your strategic priorities.

Talk to us to learn more about our data dashboards and bespoke strategy reports.

Nature Masterclasses
Grow research skills, confidence and careers with training built for every stage of the research lifecycle.

Developed with Nature Portfolio journal Editors and internationally renowned experts. Discover three ways to learn:

  • Self-paced, online courses in convenient bite-sized units, covering key skills across scientific writing, publishing, grant writing, data analysis, and more.

  • Expert trainer-led workshops with hands-on exercises and real-time feedback across core research skills, delivered via interactive group sessions.

  • Editor-led workshops combining core principles in writing and publishing, personalised 1:1 feedback from Nature Portfolio Editors and hands-on exercises.

Explore course catalogues and workshop agendas, enquire about the options or request institutional pricing.