Joint Scheduling and Coding for Reliable, Latency-bounded Transmission over Parallel Wireless Links
Andrea Bedin, Federico Chiariotti, Andrea Zanella

TL;DR
This paper proposes a joint packet scheduling and coding approach over multiple wireless links to ensure reliable, low-latency communication for real-time industrial applications, using a Markov Decision Process model for optimization.
Contribution
It introduces a novel MDP-based framework for joint scheduling and coding over parallel wireless links to maximize timely data delivery in latency-critical scenarios.
Findings
Optimal strategies depend on link characteristics and configurations.
Backing up high bitrate mmWave with stable sub-6 GHz links can be ineffective.
Joint design improves reliability and latency in wireless industrial communication.
Abstract
Several novel industrial applications involve human control of vehicles, cranes, or mobile robots through various high-throughput feedback systems, such as Virtual Reality (VR) and tactile/haptic signals. The near real-time interaction between the system and the operator requires strict latency constraints in packet exchange, which is difficult to guarantee over wireless communication links. In this work, we advocate that packet-level coding and packet scheduling over multiple parallel (unreliable) links have the potential to provide reliable, latency-bounded communication for applications with periodic data generation patterns. However, this goal can be reached only through a careful joint design of such mechanisms, whose interactions can be subtle and difficult to predict. In this paper we first discuss these aspects in general terms, and then present a Markov Decision Process (MDP)…
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Taxonomy
TopicsWireless Body Area Networks · Cooperative Communication and Network Coding · Advanced Wireless Network Optimization
