Prediction and Communication Co-design for Ultra-Reliable and Low-Latency Communications

TL;DR

This paper proposes a co-design approach combining prediction and communication strategies to enhance ultra-reliable low-latency communications (URLLC) in 5G networks, optimizing resource allocation to improve delay and reliability.

Contribution

It introduces a novel optimization framework that accounts for prediction errors and packet losses, demonstrating significant improvements in URLLC support through co-design.

Findings

Simulation results show improved delay-reliability tradeoff.

Optimization effectively maximizes supported URLLC services.

Experimental validation with real mobility data confirms practicality.

Abstract

Ultra-reliable and low-latency communications (URLLC) are considered as one of three new application scenarios in the fifth generation cellular networks. In this work, we aim to reduce the user experienced delay through prediction and communication co-design, where each mobile device predicts its future states and sends them to a data center in advance. Since predictions are not error-free, we consider prediction errors and packet losses in communications when evaluating the reliability of the system. Then, we formulate an optimization problem that maximizes the number of URLLC services supported by the system by optimizing time and frequency resources and the prediction horizon. Simulation results verify the effectiveness of the proposed method, and show that the tradeoff between user experienced delay and reliability can be improved significantly via prediction and communication co-design. Furthermore, we carried out an experiment on the remote control in a virtual factory, and validated our concept on prediction and communication co-design with the practical mobility data generated by a real tactile device.