Dynamic BSR Tables for Accurate Uplink Buffer Estimation
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Solution Overview
Problem
The existing buffer status report (BSR) tables in wireless communication systems, such as LTE and NR, suffer from inaccuracies due to their fixed and generic nature, leading to suboptimal resource allocation for uplink data transmission, particularly in extended reality (XR) services, resulting in increased latency, decreased throughput, and reduced spectral efficiency.
Innovation Solution
Introduce dynamic or changeable BSR tables that are tailored to specific traffic characteristics by configuring UE with parameters to auto-generate BSR tables, allowing for more accurate reporting through mechanisms like RRC signaling and new MAC CEs, minimizing quantization errors and improving uplink performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If fixed and generic BSR tables are used, then device complexity is reduced and ease of operation is improved, but measurement precision and reliability deteriorate due to quantization errors
Solution Approach 1:
The patent transforms fixed BSR tables into dynamic and customizable tables. The network can configure UE-specific BSR tables based on traffic characteristics, and UEs can autonomously generate tables using parameters like bin pattern, minimum/maximum buffer sizes, and number of bins. This dynamic configuration resolves the contradiction by allowing high precision when needed while maintaining simplicity through standardized procedures.
Solution Approach 2:
The patent enables customization of BSR table parameters including bin pattern (linear, exponential, logarithmic), minimum buffer size, maximum buffer size, and number of bins. By changing these parameters, the system can adapt the BSR table to match specific traffic characteristics, thereby improving measurement precision without requiring complete redesign of the BSR mechanism.
2Productivity
If fixed BSR tables are used, then device complexity is minimized, but productivity and reliability worsen due to suboptimal resource allocation
Solution Approach 1:
The patent applies local quality by tailoring BSR tables to specific traffic characteristics and UE requirements. Different UEs can have different BSR table configurations optimized for their specific service types (e.g., eMBB, URLLC, mMTC). This localized optimization improves uplink throughput for each UE without requiring complete system redesign.
Solution Approach 2:
The patent implements preliminary action by pre-configuring BSR tables with appropriate parameters before actual data transmission. The network can provide parameters in advance for UE to generate optimized BSR tables, or pre-configure tables based on expected traffic patterns. This preliminary configuration ensures optimal resource allocation from the start, improving productivity.
3Adaptability or versatility
If generic BSR tables are used, then ease of operation is improved, but adaptability worsens for diverse XR services
Solution Approach 1:
The patent achieves universality by providing a unified BSR table configuration framework that can serve multiple service types (eMBB, URLLC, mMTC, XR services). The same configuration mechanisms and parameters can be applied across different services, allowing the system to be adaptable to diverse requirements while maintaining ease of operation through standardized procedures.
Data Source
AI summary
An apparatus including at least one processor, and at least one non-transitory memory including computer program code, the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus to perform: receiving a signal including information configured to be used for partially or entirely changing a changeable buffer status report table; and changing the changeable buffer status report table based upon the received information.