Predictive Dynamic Scheduling for Deterministic Communications in Beyond 5G

2026-06-15

AI Summary

This work addresses the deterministic communication requirements of time-sensitive applications in Beyond 5G networks by proposing a predictive dynamic wireless resource scheduling mechanism. Integrating traffic prediction with dynamic scheduling, the approach intelligently reserves resources likely to be needed in the near future while satisfying current latency constraints, thereby overcoming the limitations of conventional semi-static scheduling. By proactively managing prediction uncertainty, the proposed scheme significantly enhances resource utilization efficiency under mixed traffic loads and diverse QoS requirements, while effectively guaranteeing bounded latency and service quality.

Abstract

Next generation wireless networks must sustain deterministic service levels to support emerging time-sensitive applications. The ability to guarantee bounded latencies depends on the efficient management of radio resources. Several studies propose leveraging the native intelligence of future networks to develop predictive schedulers capable of efficiently managing resources. However, existing proposals focus on semi-static scheduling, where resources are reserved based on traffic predictions, and these reservations are susceptible to inefficiencies due to prediction inaccuracies. This study advances the state of the art with a novel predictive dynamic scheduling scheme that avoids such inefficiencies, and leverages traffic predictions to allocate resources to incoming requests that meet their latency requirements while avoiding resources likely to be needed by future predicted packets. Our results demonstrate that the proposed predictive dynamic scheduling effectively supports deterministic communications in scenarios with mixed traffic flows and varying QoS requirements.

Problem

• predictive scheduling
• deterministic communications
• dynamic scheduling
• latency guarantees
• Beyond 5G

Innovation

• predictive dynamic scheduling
• deterministic communications
• resource allocation
• traffic prediction
• Beyond 5G