Buffer Status Reporting Format Selection in 5G Wireless Systems
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Solution Overview
Problem
Current 5G wireless communication systems face challenges in accurately reporting buffer status, leading to inefficient resource allocation due to the difficulty in identifying the exact amount of data in the buffer, especially with the existing buffer size table design.
Innovation Solution
The introduction of a new buffer size table (NBT) and corresponding BSR formats allows terminals to report buffer sizes in more detail, enabling the base station to accurately estimate data availability and improve resource scheduling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the existing buffer size table design is used, then the system complexity is reduced, but the measurement precision of buffer status is insufficient
Solution Approach 1:
The buffer size table is segmented into multiple tables (first buffer size table and second buffer size table) with different granularities. The first table provides coarse-grained buffer status information while the second table provides fine-grained information, allowing the system to achieve high measurement precision by selecting appropriate tables based on data amount without uniformly increasing complexity across all scenarios.
Solution Approach 2:
The system dynamically selects between different buffer size tables based on the actual data amount in the buffer. When data amount is small, the first buffer size table is used; when data amount is large, the second buffer size table is used. This dynamic adaptation allows the system to optimize between precision and complexity based on real-time conditions.
2Measurement precision
If more detailed buffer size tables are introduced, then the measurement precision of buffer status improves, but the device complexity increases
Solution Approach 1:
The buffer size information is divided into multiple segmented tables with different levels of detail. The first buffer size table covers smaller data amounts with finer granularity, while the second buffer size table covers larger data amounts with coarser granularity. This segmentation allows the system to maintain high precision where needed without the overhead of maintaining one extremely detailed table for all ranges.
Solution Approach 2:
Different buffer size tables are applied to different local conditions (data amount ranges). The first buffer size table is used locally for small data amounts where precise measurement is most critical, while the second table is used locally for large data amounts where coarse measurement suffices. This local optimization achieves high overall precision without uniformly increasing complexity.
3Adaptability or versatility
If multiple BSR formats are used, then the adaptability of buffer status reporting is improved, but the ease of operation increases
Solution Approach 1:
The system dynamically determines which BSR format to use based on the data amount and configured buffer size tables. The terminal automatically selects the appropriate format (first BSR format for small data amounts, second BSR format for large data amounts) without requiring manual configuration or complex decision-making, thereby maintaining ease of operation while achieving high adaptability.
Solution Approach 2:
The terminal autonomously selects the appropriate BSR format and buffer size table based on its own buffer status and configured parameters. This self-service mechanism eliminates the need for external control or complex coordination, allowing the system to adapt to different conditions automatically while keeping the operation simple for the terminal.
Data Source
AI summary
The disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate. Specifically, the disclosure provides a method and an apparatus in which a terminal and a base station transmit and receive a BSR according to a BSR format.