V2X MCS Level Determination via Channel Quality Feedback
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Solution Overview
Problem
Current methods for determining the Modulation and Coding Scheme (MCS) level in V2X technology are inadequate, leading to large-scale information loss when the selected MCS level is too large for poor channel quality, affecting the reliability of information transmission.
Innovation Solution
A method and apparatus that determine the MCS level by obtaining measurement information indicating time-frequency positions and channel quality, calculating a quality parameter for the target channel, and selecting the maximum available MCS level based on this parameter, ensuring optimal channel utilization and reducing information loss.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the MCS level is determined according to the amount of data to be sent, then the transmission efficiency is improved, but the reliability deteriorates when channel quality is poor
Solution Approach 1:
The patent changes the basis for MCS level determination from data amount to channel quality parameters (CQI, SINR, or SNR). The terminal device selects an MCS level from a preset MCS table based on measured channel quality, ensuring that the MCS level adapts to actual channel conditions rather than being solely determined by data volume, thus preventing information loss in poor channel conditions
Solution Approach 2:
The patent introduces a feedback mechanism where the terminal device measures channel quality (obtains CQI, SINR, or SNR values) and uses this feedback to dynamically select the appropriate MCS level. This closed-loop approach allows the system to adjust transmission parameters based on real-time channel conditions, improving both reliability and efficiency
2Productivity
If a high MCS level is selected to increase data transmission rate, then the productivity is improved, but the loss of information increases when channel quality is poor
Solution Approach 1:
The patent makes the MCS level selection dynamic by continuously measuring channel quality parameters (CQI, SINR, or SNR) and adjusting the MCS level accordingly. Instead of using a fixed or data-amount-based MCS level, the system dynamically adapts to changing channel conditions, selecting higher MCS levels when channel quality is good and lower levels when quality deteriorates, thus preventing information loss while maintaining optimal transmission rate
Solution Approach 2:
The patent changes the determination parameter from data amount to channel quality metrics. By measuring actual channel conditions (CQI, SINR, or SNR) and selecting MCS levels based on these parameters, the system ensures that the modulation and coding scheme matches the channel capacity, preventing information loss that would occur with overly aggressive MCS selection in poor conditions
Data Source
AI summary
A method for determining MCS level is provided. The method can include obtaining by a first terminal, at least one piece of measurement information which includes a measurement position indicating a time-frequency position occupied by information sent via a direct communication interface for transmitting V2X businesses of the Internet of Vehicles, and a measurement value indicating channel quality of a channel for transmitting the information. The method can include obtaining by the first terminal, a target measurement value corresponding to a target measurement position from the at least one piece of measurement information, determining by the first terminal, a quality parameter of a target channel for transmitting the target information according to the target measurement value, and determining by the first terminal, a maximum available MCS level corresponding to the target channel according to the quality parameter of the target channel.