Hybrid Automatic Repeat Request Protocols in Wireless Communication Systems

Summary

Hybrid Automatic Repeat Request (HARQ) protocols blend error-detection and error-correction techniques to improve reliability and spectral efficiency in modern wireless networks. By combining forward error correction with selective retransmission, HARQ schemes can dynamically exploit time, frequency and spatial diversity. Chase combining HARQ repeats the same coded packet upon detection of errors, offering simplicity at the cost of throughput, whereas incremental redundancy HARQ transmits complementary parity information across multiple rounds, enhancing coding gain. These protocols underpin the reliability of cellular standards such as LTE and 5G New Radio, support ultra-reliable low-latency communications for industrial automation, and facilitate energy-constrained Internet of Things deployments. Advances in adaptive power allocation, cross-layer feedback and multi-antenna designs have further refined HARQ performance, enabling its application in satellite links, unmanned aerial vehicle networks and full-duplex relay systems. The global significance of HARQ lies in its ability to balance throughput, latency and energy consumption, making it a cornerstone of next-generation wireless ecosystems.

Research from Nature Portfolio

No recent Nature Portfolio content available.

Hybrid Automatic Repeat Request Protocols in Wireless Communication Systems publication trend

The graph below shows the total number of articles in hybrid automatic repeat request protocols in wireless communication systems across all publications each year (not limited to Nature Index journals).

Technical terms

Automatic Repeat Request (ARQ): An error-control method in which failed packets are retransmitted upon request.

Hybrid ARQ (HARQ): A protocol combining ARQ with forward error correction to improve reliability and efficiency.

Chase Combining (CC): A HARQ variant that retransmits identical coded packets and combines received signals to boost decoding.

Incremental Redundancy (IR): A HARQ strategy that sends additional parity bits in each retransmission to enhance coding gain.

Log-Likelihood Ratio (LLR): A metric representing the confidence of received bits, used in soft-decision decoding.

Multiple-Input Multiple-Output (MIMO): A technique employing multiple antennas at transmitter and receiver ends to exploit spatial diversity.

Simultaneous Wireless Information and Power Transfer (SWIPT): A framework in which energy and data are transmitted concurrently, enabling energy harvesting at the receiver.

References

  1. Performance Analysis of Hybrid ARQ for Ultra-Reliable Low Latency Communications. IEEE Sensors Journal (2019).
  2. Performance Evaluation of HARQ Schemes for the Internet of Things †. Computers (2018).
  3. Reliable and Energy-Efficient LEO Satellite Communication with IR-HARQ via Power Allocation. Sensors (2022).
  4. Post-Cancellation-Based LLR Refining for MIMO Multiple ARQ Systems. Electronics (2024).
  5. Throughput Analysis of HARQ Scheme Based on Full-Duplex Two-Way AF SWIPT Relay. Computers Materials & Continua (2023).

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.