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Proceedings ArticleDOI

Network coding for high-reliability low-latency wireless control

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TLDR
A wireless communication protocol based on network coding that in conjunction with cooperative communication techniques builds the necessary diversity to achieve the target reliability, and can robustly achieve a system probability of error better than 10−9 with a nominal SNR less than 2 dB with Rayleigh fading.
Abstract
The Internet of Things (IoT) envisions simultaneous sensing and actuation of numerous wirelessly connected devices. Emerging human-in-the-loop applications demand low-latency high-reliability communication protocols, paralleling the requirements for high-performance industrial control. This paper introduces a wireless communication protocol based on network coding that in conjunction with cooperative communication techniques builds the necessary diversity to achieve the target reliability. The proposed protocol, XOR-CoW, is analyzed by using a communication theoretic delay-limited-capacity framework and compared to different realizations of previously proposed protocols without network coding. The results show that as the network size or payload increases, XOR-CoW gains advantage in minimum SNR to achieve the target latency. For a scenario inspired by an industrial printing application with 30 nodes in the control loop, total information throughput of 4.8 Mb/s, 20MHz of bandwidth and cycle time under 2 ms, the protocol can robustly achieve a system probability of error better than 10−9 with a nominal SNR less than 2 dB with Rayleigh fading.

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Citations
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Journal ArticleDOI

High-Reliability and Low-Latency Wireless Communication for Internet of Things: Challenges, Fundamentals, and Enabling Technologies

TL;DR: This tutorial paper reviews the various application scenarios, fundamental performance limits, and potential technical solutions for high-reliability and low-latency (HRLL) wireless IoT networks, which all have significant impacts on latency and reliability.
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Low-Latency Networking: Where Latency Lurks and How to Tame It

TL;DR: In this paper, the authors propose a holistic analysis and classification of the main design principles and enabling technologies that will make it possible to deploy low-latency wireless communication networks and discuss open problems for future research.
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Caterpillar RLNC (CRLNC): A Practical Finite Sliding Window RLNC Approach

TL;DR: CRLNC is introduced, a practical finite sliding window RLNC approach that requires only simple modifications of the encoded packet structure and elementary pre-processing steps of the received coded packets before feeding the received coding coefficients and symbols into a standard block-based RLNC decoder.
Journal ArticleDOI

PACE: Redundancy Engineering in RLNC for Low-Latency Communication

TL;DR: A novel PACE RLNC approach that paces the transmissions of coded redundant packets throughout the generation of source symbols, which significantly reduces the mean source symbol delay compared to tail RLNC, while achieving nearly the same loss probability.
Journal ArticleDOI

Wireless Channel Dynamics and Robustness for Ultra-Reliable Low-Latency Communications

TL;DR: A modeling approach from robust control to wireless communication is brought—the wireless channel characteristics are given a nominal model around which to allow for some quantified uncertainty, and certain key URLLC-relevant parameters are proposed along which the model uncertainty is to be bounded.
References
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Journal ArticleDOI

Cooperative diversity in wireless networks: Efficient protocols and outage behavior

TL;DR: Using distributed antennas, this work develops and analyzes low-complexity cooperative diversity protocols that combat fading induced by multipath propagation in wireless networks and develops performance characterizations in terms of outage events and associated outage probabilities, which measure robustness of the transmissions to fading.
Journal ArticleDOI

Network information flow

TL;DR: This work reveals that it is in general not optimal to regard the information to be multicast as a "fluid" which can simply be routed or replicated, and by employing coding at the nodes, which the work refers to as network coding, bandwidth can in general be saved.
Journal ArticleDOI

What Will 5G Be

TL;DR: This paper discusses all of these topics, identifying key challenges for future research and preliminary 5G standardization activities, while providing a comprehensive overview of the current literature, and in particular of the papers appearing in this special issue.
Journal ArticleDOI

User cooperation diversity. Part I. System description

TL;DR: Results show that, even though the interuser channel is noisy, cooperation leads not only to an increase in capacity for both users but also to a more robust system, where users' achievable rates are less susceptible to channel variations.
Journal ArticleDOI

XORs in the air: practical wireless network coding

TL;DR: The results show that using COPE at the forwarding layer, without modifying routing and higher layers, increases network throughput, and the gains vary from a few percent to several folds depending on the traffic pattern, congestion level, and transport protocol.
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