Uplink QoS Flow Mapping for XR Data Integrity Scheduling

The patent segments data into integrity groups where related data packets are treated as a collective unit. Each integrity group is assigned a unified priority level and transmission resource allocation, ensuring that packets within the same group maintain their relative integrity while allowing different groups to be transmitted in parallel, thus resolving the contradiction between transmission speed and data integrity.

The patent dynamically adjusts transmission parameters including priority levels, resource allocation, and scheduling decisions based on the integrity requirements of different data groups. By changing these parameters adaptively according to service types and network conditions, the system achieves both high transmission speed and reliable data integrity protection.

The patent implements local quality differentiation by assigning different priority levels and resource allocation strategies to different integrity groups based on their specific requirements. Instead of uniform resource management, each integrity group receives customized transmission parameters, which optimizes network uplink transmission efficiency while maintaining manageable resource allocation through automated classification.

The system dynamically changes transmission parameters such as priority, resource block allocation, and scheduling timing based on the integrity requirements and network conditions of each data group. This adaptive parameter adjustment improves transmission efficiency without requiring complex manual resource management.

The patent segments data into integrity groups with differentiated priority requirements. Only necessary high-priority groups receive enhanced priority scheduling resources, while lower-priority groups use standard scheduling. This segmented approach provides effective priority control capability while avoiding widespread network resource waste by applying priority treatment only where genuinely needed.

The system applies priority-based scheduling selectively to specific integrity groups that require it, rather than uniformly to all data packets. This partial application of priority scheduling provides adequate control capability for critical data while minimizing network resource waste by avoiding excessive priority treatment for non-critical data.