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 interface diversity and integrate
multiple communication interfaces, each interface based on a different
technology. In this work, we propose 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. In
order to estimate the performance in terms of latency and reliability of such
an integrated communication system, we propose an analysis framework that
combines traditional reliability models with technology-specific latency
probability distributions. Our model is capable to account for failure
correlation among interfaces/technologies. By considering different scenarios,
we find that optimized strategies can in some cases significantly outperform
strategies based on $k$-out-of-$n$ erasure codes, where the latter do not
account for the characteristics of the different interfaces. The model has been
validated through simulation and is supported by experimental results.

本文提出了一种基于编码分配权重并通过多种通信技术传输的通信系统，其可以在满足特定时延目标的情况下实现最大的可靠性，通过结合可靠性模型和技术特定的时延概率分布的分析框架，该模型可以针对不同情境优化其策略并在实验中进行验证。