5G CQI and MCS Table Design for Dynamic Service Adaptation
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Solution Overview
Problem
The 5G communication system faces challenges in accurately measuring and supporting various services due to the dynamic change in channel and interference characteristics, requiring a method to generate and configure channel quality indicators (CQI) and modulation and coding schemes (MCS) effectively to ensure efficient data transmission across different target block error rates (BLERs).
Innovation Solution
A method for designing and using CQI tables and MCS tables in the 5G communication system, which involves determining appropriate modulation and coding schemes based on reported CQI information and SINR mapping, allowing for efficient skipping of LDPC decoding in certain conditions, thereby optimizing data transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If traditional single CQI table is used for all services, then device complexity is reduced, but measurement precision and service adaptability deteriorate due to inability to accurately represent different target BLER requirements
Solution Approach 1:
The patent divides a single CQI table into multiple service-specific CQI tables, each optimized for particular target BLER requirements. This segmentation allows each table to accurately represent channel quality for specific service types (e.g., eMBB, URLLC, mMTC) without being compromised by diverse service requirements in a unified table.
Solution Approach 2:
Each CQI table is designed with local quality optimized for its specific service type and target BLER. The CQI values, mapping relationships, and table structures are tailored to the characteristics of particular services, ensuring high measurement precision for each service category while maintaining overall system adaptability.
2Measurement precision
If service-specific CQI tables are implemented for different target BLERs, then measurement precision and service adaptability improve, but device complexity increases due to multiple tables and selection mechanisms
Solution Approach 1:
The patent implements dynamic CQI table selection mechanisms that adaptively choose the appropriate CQI table based on current service requirements, target BLER, and channel conditions. This dynamic approach allows the system to switch between different CQI tables as needed, managing complexity through intelligent selection rather than static configuration.
Solution Approach 2:
The system changes key parameters such as CQI table selection, target BLER values, and mapping relationships based on service type and channel conditions. By dynamically adjusting these parameters, the system achieves high measurement precision for diverse services while managing complexity through parameter-based adaptation rather than structural complexity.
3Reliability
If LDPC decoding is performed for all MCS levels, then reliability is maintained, but productivity decreases due to unnecessary decoding operations increasing processing time and energy consumption
Solution Approach 1:
The patent applies partial action by performing LDPC decoding only for specific MCS levels and service types where it is truly necessary. For example, decoding is selectively applied based on target BLER requirements, service category, and channel conditions, avoiding excessive decoding operations that would waste processing resources while maintaining reliability where needed.
Solution Approach 2:
The system implements skipping mechanisms that allow it to bypass LDPC decoding for certain MCS levels and service types when reliability requirements are already met through other means. This enables the system to rush through unnecessary decoding steps, significantly improving productivity and reducing processing time and energy consumption while maintaining adequate reliability through alternative error handling mechanisms.
Data Source
AI summary
An example method for transmitting control information in a wireless communication system may include designing a CQI table in order to transmit channel state information (CSI); or a method for using the designed CQI table. In addition, the method may comprise: a method for designing a CQI table designed in a situation in which supported services or target BLERs mutually differ; or a method for using the designed CQI table. In addition, the method may comprise a method for determining or configuring a suitable MCS using an adequate MCS table corresponding to the CQI table, or a designed MCS table. In addition, the method may comprise a SINR mapping method and MCS configuration method, based on CQI information reported from a terminal.