Freshness-Aware Throughput Maximization for mURLLC Services in IIoT Networks

IEEE Vehicular Technology Conference, pp. 1–6

Abstract

In this paper, we study an industrial Internet of Thing (IIoT) network supporting massive ultra-reliable and low-latency communications, where each user has strict timeliness requirements. We propose an optimal framework to maximize the effective throughput via jointly choosing the uplink transmission blocklength for multiple users. To address the formulated non-convex problem, we first characterize the quasi-concavity of the effective throughput to users’ blocklength. Then, following the characterization, the problem is reformulated to a quasi-convex one. Utilizing Dinkelbach’s transformation, an efficient algorithm is developed to obtain the optimal solution. Finally, through simulations, we confirm our analytical model and the superiority of the proposed design in comparison to benchmarks.

Authors 4

1. Chenhao Shi

   Wuhan University

   Affiliation as printed

   Wuhan University,School of Electronic Information,Wuhan,China,430072

2. Yao Lin Zhu

   Wuhan University

   Affiliation as printed

   Wuhan University,School of Electronic Information,Wuhan,China,430072

3. Yuanming Hu

   Wuhan University

   Affiliation as printed

   Wuhan University,School of Electronic Information,Wuhan,China,430072

4. Anke Schmeink Aachen

   RWTH Aachen University

   Affiliation as printed

   RWTH,INDA,Aachen,Germany