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DTMC-Based Analysis and Scheduling for Periodic Flows with Proactive HARQ

Year: 2026

Type: preprint

Abstract: Ultra-Reliable Low-Latency Communication (URLLC) requires strict reliability and latency guarantees for heterogeneous periodic traffic. Proactive HARQ improves resource efficiency through early termination, but slot-level timing effects, particularly delayed feedback, complicate schedulability analysis. This paper presents a discrete-time Markov chain (DTMC)-based framework for periodic flows with proactive HARQ. By expanding the state space, the model captures HARQ round-trip time and other cross-slot timing effects. The framework determines the transmission opportunities required to satisfy heterogeneous reliability and latency constraints and supports offset-based scheduling through a two-stage genetic algorithm. Simulations with industrial URLLC traffic show that the proposed method achieves higher schedulability than reactive HARQ, K-Repetition, and non-guaranteed proactive HARQ, with acceptable computational overhead.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.2608.05639

Authors: Yi, Haozhe, Liu, Junyi, Yang, Maolin, Liang, Haochun, Liu, Bo, Hong, Feng, Liu, Chaowei, Liu, Hongbiao

Institutions: University of Electronic Science and Technology of China, National University of Singapore, Northeastern University, Beijing Institute of Control Engineering

Topic: Advanced Wireless Network Optimization

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: green

OpenAlex ID: W7201862822

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