Abstract
Standard reactive scheduling request (SR) procedures in high-latency Non-Terrestrial Networks (NTNs) cause uplink delays, as a user equipment (UE) must wait a full round-trip time (RTT) for an uplink grant after data becomes available. This is compounded for large data transfers, which may require two RTTs for SR and Buffer Status Report (BSR) cycles. This disclosure describes a proactive scheduling mechanism where the UE sends an SR in advance of data arriving in its buffer. Based on predicted traffic, informed by application-layer signaling or an on-device machine learning model, the SR is timed to ensure the uplink grant arrives just-in-time as the data becomes ready. This approach effectively hides the scheduling latency inherent in the NTN RTT, minimizing UE wait times, reducing data transfer startup delays, and improving overall uplink efficiency.
Publication Date
2026-01-07
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Chen, Edison, "Uplink Latency Reduction in Non-Terrestrial Networks via Predictive Scheduling Request", Technical Disclosure Commons, (January 08, 2026)
https://www.tdcommons.org/dpubs_series/9150