Ericsson Technology Review When AI has no time to think: real-time inference in radio access networks

2026

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AI-generated summary

This paper explores how to effectively deploy AI in radio access networks by addressing the critical challenge of real-time inference within strict latency and compute constraints.

* Examines the unique challenges of integrating AI into real-time radio access networks (RANs), where inference must occur within microsecond-level deadlines.
* Discusses how model dimensioning, rather than hardware scaling, is key to achieving feasible AI deployment in RANs by aligning model complexity with execution budgets.
* Presents model distillation as a systematic approach to decouple model expressiveness from inference feasibility, enabling robust performance under stringent real-time constraints.

Tags: AI, RAN, real-time inference, model distillation, latency

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