Application Layer Preemptive Scheduling for Ultra-Low Latency
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Solution Overview
Problem
Current communication networks, particularly in 3GPP standards like LTE and NR, face challenges in achieving ultra-low latency for uplink transmissions due to the lack of proactive scheduling mechanisms, leading to increased delays in packet transmission and user experience issues in applications like Extended Reality and industrial control.
Innovation Solution
Implementing application layer preemptive scheduling requests (SRs) that allow wireless devices to predict data generation and proactively transmit scheduling requests, enabling network nodes to provide timely uplink grants, reducing latency by predicting and preparing for future data transmissions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If standard uplink scheduling techniques are used, then the system operates with conventional periodic scheduling, but latency increases due to multiple round trips between WD and network node
Solution Approach 1:
The patent implements preliminary action by enabling the WD to predict future data generation and proactively send scheduling requests before data is actually generated. The WD uses prediction algorithms to anticipate traffic patterns and pre-sends SRs, allowing the network node to prepare UL grants in advance, thereby eliminating multiple round trips and reducing latency.
Solution Approach 2:
The patent applies feedback by implementing a prediction mechanism where the WD continuously monitors actual data generation patterns and compares them with predictions. This feedback loop allows the WD to refine its prediction accuracy over time, improving the timing of proactive scheduling requests and optimizing latency reduction while maintaining system efficiency.
2Speed
If proactive scheduling requests are implemented, then latency is reduced through predictive mechanisms, but device complexity increases due to prediction algorithms and additional signaling
Solution Approach 1:
The patent applies partial action by implementing prediction mechanisms selectively rather than for all traffic types. The WD can choose to use predictive scheduling for specific applications or traffic patterns where latency sensitivity is high, while relying on conventional scheduling for other traffic, thereby balancing performance improvement with complexity management.
Solution Approach 2:
The patent uses parameter changes by allowing the WD to dynamically adjust prediction parameters such as prediction horizon, traffic pattern weights, and SR timing based on actual network conditions and application requirements. This flexibility enables optimization of transmission speed while adapting complexity to specific operational contexts rather than maintaining fixed high complexity.
3Ease of operation
If multiple round trips are used for scheduling, then the system maintains simple periodic scheduling, but user experience deteriorates due to increased communication delays
Solution Approach 1:
The patent introduces an intermediary prediction layer at the WD that acts as a mediator between the application layer and the physical layer scheduling. This intermediary analyzes application-level traffic patterns and translates them into optimized scheduling requests, simplifying the overall operation by handling prediction complexity at the WD rather than requiring complex network-side scheduling operations.
Data Source
AI summary
Methods, systems and apparatuses are disclosed for configuring application layer preemptive scheduling requests for ultra-low latency. A wireless device (WD) configured to communicate with a network node is described. The WD comprises processing circuitry and a radio interface in communication with the processing circuitry. The processing circuitry is configured to determine indication data associated with a future transmission. The radio interface is configured to transmit a scheduling request, SR, on a periodic SR opportunity based at least on the received indication data.