Revisiting the Interface between Error and Erasure Correction in Wireless Standards

2026-01-04

IEEE Journal on Selected Areas in Communications

AI Summary

This work proposes integrating network coding as a forward error correction mechanism into 5G systems to replace conventional feedback-based HARQ/ARQ protocols, which suffer from high latency and inefficient resource utilization due to retransmissions. By introducing network coding at the wireless standard interface for the first time, the proposed approach significantly reduces transmission delay and enhances resource efficiency. Through rigorous mathematical modeling, network slicing simulations, and modular protocol stack design, the solution ensures in-order packet delivery while improving throughput and mitigating resource contention with other coexisting applications. The results demonstrate a promising new paradigm for future 6G protocol design that prioritizes low latency and high spectral efficiency without relying on feedback-driven retransmission mechanisms.

Technology Category

• Cognitive Modeling & Cognitive Systems: Neural Spike Coding
• Multiagent Systems: Mechanism Design
• Computer Vision: Generative Adversarial Networks (GANs) for Vision

Application Category

• Systems and Infrastructure for Web, Mobile and WoT: Virtualization and resource management in Web systems and infrastructures
• Search and Retrieval-Augmented AI: Web evaluation methodologies and metrics
• Economics, Online Markets and Human Computation: Incentives in network design for Web infrastructures and ecosystems

Abstract

Modern 5G communication systems implement a combination of error correction and feedback-based erasure correction (HARQ/ARQ) as reliability mechanisms, which can introduce substantial delay and resource inefficiency. We propose forward erasure correction using network coding as a more delay-efficient alternative. We present a mathematical characterization of network delay for existing reliability mechanisms and network coding. Through simulations in a network slicing environment, we demonstrate that network coding not only improves the in-order delivery delay and goodput for the applications utilizing the slice, but also benefits other applications sharing the network by reducing resource utilization for the coded slice. Our analysis and characterization point towards ideas that require attention in the 6G standardization process. These findings highlight the need for greater modularity in protocol stack design that enables the integration of novel technologies in future wireless networks.

Problem

• error correction
• erasure correction
• network delay
• resource inefficiency
• wireless standards

Innovation

• network coding
• forward erasure correction
• delay efficiency
• network slicing
• 6G standardization