UE Control Information Transmission with Service-Specific CQI Tables
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Solution Overview
Problem
Existing wireless communication systems struggle to efficiently support various services with different reliability and latency requirements in 5G networks, as channel and interference characteristics significantly change with service types, necessitating improved methods for generating channel quality indicators (CQI) and modulation and coding scheme (MCS) tables.
Innovation Solution
The proposed solution involves generating new CQI and MCS tables that account for varying block error rate (BLER) targets, using methods such as bit-interleaved coding and modulation (BICM) to optimize transmission efficiency across different scenarios, including beamforming and multiple input multiple output (MIMO) techniques.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a single CQI and MCS table is used for all services, then device complexity is reduced, but transmission efficiency and reliability deteriorate due to inability to meet diverse service requirements
Solution Approach 1:
The patent divides the single CQI and MCS table into multiple service-specific tables (e.g., eMBB table, URLLC table, mMTC table), each optimized for specific service requirements. The terminal device maintains multiple tables and selects the appropriate one based on service type, thereby improving transmission efficiency for each service without requiring a single complex universal table.
Solution Approach 2:
The patent introduces dynamic selection mechanisms where the terminal device can switch between different CQI and MCS tables based on service requirements, channel conditions, and network configuration. This dynamic adaptability allows the system to optimize transmission parameters in real-time for different services while maintaining a manageable set of tables.
2Reliability
If multiple CQI and MCS tables are generated for different services, then transmission efficiency and reliability improve, but device complexity increases
Solution Approach 1:
The patent applies local quality by creating specialized CQI and MCS tables with specific characteristics tailored to each service type. For example, URLLC tables are optimized for low latency and high reliability with conservative modulation and coding schemes, while eMBB tables use aggressive higher-order modulations for maximum throughput. Each table has locally optimized parameters matching its service's specific requirements.
Solution Approach 2:
The patent designs a universal framework where a single terminal device can handle multiple service types by selecting from pre-configured CQI and MCS tables. The device maintains a unified table selection mechanism that works across different services, reducing the need for separate dedicated systems for each service type while still providing service-specific optimization.
3Adaptability or versatility
If service-specific CQI and MCS tables are implemented, then adaptability to different services improves, but measurement and configuration difficulty increases
Solution Approach 1:
The patent implements preliminary action by pre-configuring multiple CQI and MCS tables with service-specific parameters before actual data transmission. The network and terminal devices prepare these tables in advance based on expected service requirements, so when a service starts, the appropriate table is already ready for immediate use, eliminating the need for complex real-time measurements and configurations.
Solution Approach 2:
The patent incorporates feedback mechanisms where the terminal device measures channel quality using service-specific reference signals and provides feedback to the network. The network uses this feedback to select and configure the appropriate CQI and MCS tables, creating a closed-loop system that adapts to channel conditions while simplifying the measurement process through service-specific signal designs.
Data Source
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AI summary
The disclosure relates to a pre-5th-generation (5G) or 5G communication system to be provided for supporting higher data rates beyond 4th-generation (4G) communication system such as long term evolution (LTE). An operating method of a user equipment (UE) in a communication system includes performing radio resource control (RRC) signaling with a base station, determining a code rate based on an RRC configuration according to the RRC signaling, and determining a size of data using the code rate.