Adaptive Channel Prioritization for Wireless Data Flow Latency
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Solution Overview
Problem
Wireless communication systems face challenges in efficiently prioritizing data flows over logical channels, leading to increased latency and missed quality of service (QoS) requirements due to fixed priority levels that do not account for varying throughput and packet delay budgets.
Innovation Solution
User equipment (UE) adapts channel prioritization parameters based on calculated deadline metrics, which consider throughput, packet delay budget, and payload size to dynamically prioritize data flows, ensuring optimal resource allocation and QoS.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If fixed priority levels are used for data flows, then device complexity is reduced and ease of operation is improved, but latency increases and QoS requirements are not met
Solution Approach 1:
The patent implements dynamic prioritization where priority levels are not fixed but adapt based on calculated deadline metrics. The UE calculates DM for each data flow using throughput and packet delay budget, then adjusts priority assignments dynamically. This resolves the contradiction by making the prioritization system flexible enough to meet varying QoS requirements while maintaining operational simplicity through automated calculations.
Solution Approach 2:
The patent changes the parameter of priority level from a static fixed value to a dynamic value based on deadline metric calculations. By computing DM = (PDB - current_time) / throughput for each data flow and adjusting priorities accordingly, the system adapts to changing network conditions and QoS requirements, reducing latency for time-sensitive flows while maintaining ease of operation through algorithmic determination.
2Device complexity
If fixed priority levels are used for data flows, then device complexity is reduced, but adaptability to varying throughput and delay budgets deteriorates
Solution Approach 1:
The patent enables the UE to automatically calculate deadline metrics and adjust priority levels without external intervention. The system self-adapts by computing DM based on throughput and PDB for each data flow, then autonomously reassigning priorities. This resolves the contradiction by making the system self-configuring and adaptive to varying QoS requirements while keeping the prioritization mechanism relatively simple through standardized calculations.
Solution Approach 2:
The patent implements a feedback mechanism where the UE continuously monitors throughput and packet delay budget for each data flow, calculates deadline metrics based on this feedback information, and adjusts priority levels accordingly. This closed-loop approach enables adaptability to changing QoS requirements while maintaining manageable device complexity through systematic feedback processing.
3Reliability
If adaptive prioritization based on deadline metrics is implemented, then QoS requirements are met and latency is reduced, but device complexity increases
Solution Approach 1:
The patent changes priority levels from fixed parameters to dynamic parameters based on calculated deadline metrics. By computing DM using the formula (PDB - current_time) / throughput and adjusting priorities accordingly, the system achieves reliable QoS fulfillment while managing device complexity through a standardized calculation approach that can be efficiently implemented in UE hardware and software.
Data Source
AI summary
Some wireless communications systems may support logical channel prioritization (LCP) adaptation. A user equipment (UE) may receive signaling scheduling multiple data flows associated with a set of channels in particular logical channels, where each data flow of the multiple data flows is associated with a set of one or more parameters. The UE may calculate a deadline metric (DM) associated with a transmission time of each data flow based on the sets of one or more channel prioritization parameters and may adapt the set of one or more parameters associated one or more data flows of the multiple data flows based at least in part on the DM. The UE may transmit a first data flow of the multiple data flows based at least in part on a prioritization of the first data flow over a second data flow, the prioritization based at least in part on the adapting.