Cellular File-Level QoS for High-Bandwidth Low-Latency Traffic
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Solution Overview
Problem
Existing cellular data networks lack the ability to differentiate between different types of files and apply appropriate Quality of Service (QoS) policies, particularly for high bandwidth and low latency applications like extended reality (XR), leading to suboptimal performance.
Innovation Solution
Implementing a file-aware approach in cellular data networks by using file identifiers and burst identifiers in packet headers to determine and enforce file-level QoS policies, ensuring that each file or burst of files receives the appropriate QoS requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If existing cellular data networks use generic QoS policies for all data traffic, then network operation is simple and device complexity is low, but network performance is suboptimal for high bandwidth low latency applications like XR
Solution Approach 1:
The patent segments QoS policies from generic network-level policies to file-level policies. By identifying specific file types (e.g., XR files, video files, audio files) and applying differentiated QoS parameters to each file type, the network can optimize performance for high bandwidth low latency applications while maintaining simple generic handling for other traffic. This segmentation enables precise control over file transmission characteristics without overwhelming network complexity.
Solution Approach 2:
The patent implements local quality by applying specific QoS parameters to specific file types at the file level rather than uniformly across all traffic. Different QoS profiles (e.g., high bandwidth low latency for XR files, standard buffering for video files) are applied locally to each file type based on its requirements. This allows the network to provide optimized performance where needed while maintaining simplicity for other traffic types.
2Loss of time
If the network applies differentiated QoS policies to different file types, then latency and bandwidth are improved for specific applications, but the complexity of QoS policy management increases
Solution Approach 1:
The patent applies preliminary action by pre-defining QoS profiles for different file types before transmission occurs. The system identifies file types (XR files, video files, audio files, etc.) and assigns appropriate QoS parameters in advance based on known requirements. This preliminary classification and profile assignment simplifies real-time management by eliminating the need for complex dynamic decision-making during transmission, thereby reducing latency while keeping management complexity manageable.
Solution Approach 2:
The patent utilizes parameter changes by modifying QoS parameters (bandwidth allocation, latency constraints, buffering requirements) based on file type characteristics. Different file types trigger different parameter configurations: XR files receive high bandwidth and low latency parameters, video files receive buffered streaming parameters, and audio files receive continuous flow parameters. This dynamic parameter adjustment optimizes performance for each application type while maintaining systematic management through standardized profiles.
Data Source
AI summary
Disclosed are techniques for wireless communication. In an aspect, a network node configures a quality of service (QoS) profile comprising one or more file-level QoS parameters, wherein the QoS profile applies to one or more files associated with a service flow associated with a user equipment (UE), wherein each file of the one or more files comprises one or more protocol data units (PDUs), and wherein a header of each PDU of the one or more PDUs of the file includes a file identifier and a file type of the file, and enforces the QoS profile on the one or more files.