Optimized Interface Diversity for Ultra-Reliable Low Latency Communication (URLLC)

TL;DR

This paper proposes an optimized coding-based interface diversity approach to enhance ultra-reliable low-latency communication in 5G, outperforming traditional strategies by intelligently distributing data across multiple interfaces.

Contribution

It introduces an optimization framework for payload allocation across multiple interfaces to maximize reliability in URLLC, considering interface characteristics.

Findings

Optimized strategies outperform $k$-out-of-$n$ methods.

Significant reliability improvements demonstrated through experiments.

Effective in various 5G URLLC scenarios.

Abstract

An important ingredient of the future 5G systems will be Ultra-Reliable Low-Latency Communication (URLLC). A way to offer URLLC without intervention in the baseband/PHY layer design is to use \emph{interface diversity} and integrate multiple communication interfaces, each interface based on a different technology. Our approach is to use coding to seamlessly distribute coded payload and redundancy data across multiple available communication interfaces. We formulate an optimization problem to find the payload allocation weights that maximize the reliability at specific target latency values. By considering different scenarios, we find that optimized strategies can significantly outperform $k$-out-of-$n$ strategies, where the latter do not account for the characteristics of the different interfaces. Our approach is supported by experimental results.