Rate Bucket Selection for Adaptive V2X Data Encoding
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Solution Overview
Problem
Existing wireless communication technologies for vehicles lack diversity in data rates, struggle with backwards interoperability, and have a narrow definition of data rates that do not account for varying application requirements, leading to inefficiencies in vehicle-to-everything (V2X) communications.
Innovation Solution
Implementing rate buckets that bundle modulation, coding rates, and coding schemes into finite groups, along with mechanisms like Poke and Pull for capability negotiation, and enhancing WAVE Service Advertisement (WSA) messages to indicate specific rate buckets and encoding capabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single data rate definition is used in wireless communication, then device complexity is reduced, but adaptability to different application requirements deteriorates
Solution Approach 1:
The patent segments the data rate definition into multiple rate buckets, where each bucket represents a group of PHY rates with similar characteristics. This segmentation allows the system to select appropriate rate buckets for different application scenarios (e.g., safety messages vs. non-safety messages) without managing every individual PHY rate, thus reducing complexity while maintaining adaptability.
Solution Approach 2:
The patent changes the parameter of data rate representation from individual PHY rates to grouped rate buckets. By defining rate buckets with specific characteristics (such as robustness levels, throughput ranges), the system can adapt to different application requirements by selecting appropriate rate buckets, effectively changing how data rates are parameterized and managed.
2Reliability
If multiple encoding capabilities are supported for different applications, then communication reliability is improved, but device complexity increases
Solution Approach 1:
The patent merges multiple encoding capabilities into unified rate buckets that can represent groups of PHY rates with similar reliability characteristics. Instead of managing separate encoding capabilities for different applications, the system combines them into rate buckets that can be selected based on application requirements, reducing management complexity while maintaining support for multiple encoding approaches.
Solution Approach 2:
The rate bucket structure serves multiple functions: it groups PHY rates, defines reliability characteristics, and provides application-specific selection criteria. This multi-functional design allows the same rate bucket mechanism to support different encoding capabilities and reliability requirements across various applications without requiring separate management systems for each.
3Adaptability or versatility
If rate buckets are implemented to group modulation and coding schemes, then adaptability to application requirements is improved, but device complexity increases
Solution Approach 1:
The patent applies preliminary action by pre-defining rate buckets with specific characteristics and associations with application types before actual communication occurs. The rate buckets are prepared in advance with their properties (robustness, throughput ranges, associated PHY rates) configured, so that during communication, the system can quickly select the appropriate pre-defined rate bucket for the given application scenario without complex real-time calculations.
Data Source
Figure 1
Figure 2~3
AI summary
In some examples, a wireless device selects a selected rate bucket of a plurality of different rate buckets, a rate bucket of the plurality of different rate buckets comprising a plurality of coding rates.