Adaptive Coding Selection for Low-Latency Reliable Wireless Links
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Solution Overview
Problem
Current wireless communication technologies face challenges in meeting the high requirements for transmission latency and reliability, particularly in applications like augmented reality, internet of vehicles, telemedicine, and industrial control, where diverse in-vehicle communications necessitate improved data transmission performance.
Innovation Solution
The method involves encoding data using different coding schemes, such as Reed-Solomon and polar coding, based on service type, priority, and transmission mode to adapt to varying service requirements, ensuring efficient resource utilization and link performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single coding scheme is used for all data transmissions, then device complexity is reduced, but transmission performance and reliability for different services deteriorate
Solution Approach 1:
The patent segments the coding scheme selection process by dividing data into different service types (e.g., URLLC, eMBB, mMTC) and applying specific coding schemes to each segment. This allows optimal coding schemes to be selected for different service requirements without increasing overall system complexity, as the segmentation is based on clear service type identification.
Solution Approach 2:
The patent implements dynamic coding scheme selection where the coding scheme is adaptively chosen based on the service type and channel conditions. The system dynamically switches between different coding schemes (e.g., polar coding for URLLC, LDPC for eMBB) according to real-time requirements, optimizing transmission reliability without requiring complex manual configuration.
2Reliability
If different coding schemes are used for different data types, then transmission performance is improved, but device complexity increases
Solution Approach 1:
The patent applies preliminary action by pre-configuring multiple coding schemes and their corresponding service type mappings before actual data transmission. The system prepares the coding scheme selection criteria in advance, so that during transmission, the appropriate coding scheme can be quickly selected based on pre-established rules without requiring complex real-time decision-making.
Solution Approach 2:
The patent utilizes parameter changes by adjusting coding scheme parameters (such as code rate, block length) based on service type requirements. Instead of completely different coding schemes, the system optimizes transmission reliability by changing parameters within coding schemes, which reduces complexity while maintaining performance differentiation across services.
3Device complexity
If conventional coding schemes are used, then device complexity is low, but transmission latency for high-reliability services increases
Solution Approach 1:
The patent applies local quality by selecting specific coding schemes with appropriate properties for different service locations or types. For time-critical services like URLLC, the system locally optimizes by choosing coding schemes with lower latency characteristics, while other services can use more complex schemes without affecting overall system performance.
Data Source
AI summary
This application discloses a communications method, apparatus, and system, and is applicable to wireless communication fields such as the internet of vehicles, intelligent driving, assisted driving, and intelligent connected vehicles. The communications method may include: encoding first data according to a first coding scheme; sending the encoded first data; encoding second data according to a second coding scheme, where the first data is different from the second data, and the second coding scheme is different from the first coding scheme; and sending the encoded second data.