Toward Practical Age-of-Information Scheduling in 5G Cellular

📅 2026-05-13
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🤖 AI Summary
This work addresses the challenge in 5G cellular networks where base stations cannot directly observe the Age of Information (AoI) at user equipment while adhering to stringent slot-level scheduling constraints. To overcome this limitation, the authors propose a low-complexity AoI estimation algorithm that infers user-side timestamps and destination AoI using only base station–observable information. Building upon this estimator, they design a lightweight maximum-weight scheduling policy (MW-LC). The approach is the first to implement AoI-aware scheduling within a standards-compliant 5G simulation environment (NetSim). Experimental validation in MATLAB demonstrates that MW-LC achieves performance closely approaching that of an ideal scheduler with full AoI knowledge and significantly outperforms conventional 5G baseline schedulers.
📝 Abstract
We consider a 5G cellular network where a gNB schedules time-sensitive uplink transmissions from multiple UEs and forwards received packets to remote destinations. In practical 5G networks, the gNB does not directly observe the destination-side Age of Information (AoI) and must make scheduling decisions under stringent slot-level runtime constraints. In this paper, we develop a low-complexity AoI-aware scheduling policy for 5G cellular under limited observability. We first design a low-complexity estimator that infers UE-side packet timestamps and destination-side AoI from gNB-visible observations. Based on these estimates, we propose and implement a Max-Weight policy (MW-LC) in NetSim, a 5G emulator with a standards-compatible protocol stack, to showcase its performance against baseline 5G scheduling policies. Furthermore, we use MATLAB simulations to show that the LC estimator and MW-LC achieve performance close to a richer estimator-based AoI policy from the literature. The estimator may be of independent interest to the community, enabling AoI-aware algorithms beyond 5G scheduling.
Problem

Research questions and friction points this paper is trying to address.

Age of Information
5G cellular
scheduling
limited observability
ulink transmission
Innovation

Methods, ideas, or system contributions that make the work stand out.

Age of Information
5G scheduling
low-complexity estimator
Max-Weight policy
limited observability