Predictive Uplink Burst Scheduling Using AI Buffer Status Reports

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Solution Overview

Problem

Existing wireless communication systems experience latency in uplink data scheduling due to traditional handshake techniques, which introduce delays in transmitting uplink data by requiring a sequence of requests and grants, especially for non-periodic traffic.

Innovation Solution

Implementing an artificial intelligence model at the UE to predict uplink data generation time, allowing for a predictive buffer status report to request uplink resources in advance, thereby reducing latency by parallelizing the request with data availability.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of time

If traditional handshake techniques are used for uplink data scheduling, then protocol compliance is maintained, but latency increases due to sequential request-grant delays

Engineering Contradiction:
Improveuplink data scheduling latencyVSAvoidscheduling protocol complexity
Core Design Contradiction:
Loss of timeVSDevice complexity

Solution Approach 1:

The UE performs preliminary action by transmitting a buffer status report indicating predicted data availability time before the actual data becomes available. This allows the network to prepare the uplink grant in advance, eliminating the sequential handshake delay and reducing latency while maintaining protocol structure.

Inventive Principle:
Principle #10Preliminary action

2Loss of time

If predictive buffer status report is transmitted in advance, then uplink resource allocation latency is reduced, but accuracy of data availability prediction must be maintained

Engineering Contradiction:
Improveuplink resource allocation timeVSAvoiddata availability prediction accuracy
Core Design Contradiction:
Loss of timeVSReliability

Solution Approach 1:

The system incorporates feedback mechanisms where the network receives the predictive buffer status report, validates the prediction, and adjusts the grant timing accordingly. If the predicted data availability time does not match actual availability, the network can request retransmission or adjust scheduling, ensuring reliability while maintaining the latency benefit of advance allocation.

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS20260075459A1Techniques for prediction of uplink traffic bursts
Publication Date: 2026.03.12 QUALCOMM INC
  • US20260075459A1 patent drawing
  • US20260075459A1 patent drawing
  • US20260075459A1 patent drawing

AI summary

Methods, systems, and devices for method for wireless communication are described. A user equipment (UE) may transmit, a predictive buffer status report associated with a request for a grant for transmission of uplink data and a first time. In response to the predictive buffer status report, the UE may receive the grant for transmission of the uplink data for a second time. In some cases, the second time may be related to the first time. The UE may transmit the uplink data based on the grant. In some cases, the first time and the second time may include absolute times. In some cases, the first time may include a first relative time with respect to an event and the second time may include a second relative time with respect to the event.