Wireless Repetition Detection via Symbol Subset Comparison
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In wireless vehicular communications, ensuring accurate and efficient transmission is challenging due to the mix of older and newer standards operating in the same band, making it difficult to distinguish between new and repetitive messages, which affects compatibility and processing efficiency.
Innovation Solution
A method and apparatus that generate a resemblance metric by comparing subsets of data symbols in current and previous messages to determine if the current message is a repetition, allowing for rapid identification and reduced resource usage, such as buffer size and computing resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If full message decoding is performed for all received messages, then message accuracy is improved, but processing time and computing resources increase
Solution Approach 1:
The patent applies partial action by performing decoding only on selected messages rather than all messages. The system uses a determination circuit to identify which messages require full decoding based on comparison results, thereby reducing overall processing time while maintaining accuracy for messages that need it.
Solution Approach 2:
The patent applies preliminary action by performing a quick comparison of message characteristics (such as preamble or header fields) before committing to full decoding. This preliminary check allows the system to rapidly filter out duplicate messages without the computational overhead of complete decoding.
2Quantity of substance
If buffer size is increased to store all received messages, then message storage capacity is improved, but device complexity and resource allocation increase
Solution Approach 1:
The patent applies the extraction principle by removing duplicate messages from the buffer after identification. The determination circuit identifies repetitive messages and prevents them from being stored or processed further, thereby reducing the required buffer size and associated device complexity.
Solution Approach 2:
The patent applies discarding by eliminating identified duplicate messages from further processing and storage. By discarding repetitive messages that provide no new information, the system reduces buffer requirements and simplifies device architecture.
3Measurement precision
If message comparison is performed on complete messages, then repetition detection accuracy is improved, but processing time and computing resources increase
Solution Approach 1:
The patent applies segmentation by dividing the message into distinct parts (such as preamble, header, and data sections) and performing comparison on specific segments rather than the entire message. This allows for rapid identification of duplicates while maintaining sufficient accuracy to distinguish unique messages.
Solution Approach 2:
The patent applies partial action by performing comparison only on critical message segments (such as preamble or header fields) rather than complete messages. This partial comparison provides sufficient discrimination power for repetition detection while significantly reducing processing time and computational requirements.
Data Source
AI summary
Aspects of the present disclosure are directed to use with communications that may involve repetitive communications. As may be implemented in accordance with one or more embodiments, a subset of symbols in a current data message (130/131) are used with a corresponding subset of symbols in a previous data message (120/121), to ascertain whether the current data message is a repetition of the previous data message. This may involve, for instance, generating a resemblance metric to represent semblance between a subset the data symbols of the current data message and a subset the data symbols of the previous data message (102). The resemblance metric can be used in determining whether the current data message is a repetition of the previous data message. This approach may be useful, for example, in ascertaining whether the current message is a repetition without necessarily decoding the message.