Collaborative Routing Using Bit Error Patterns in Wireless Links
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Solution Overview
Problem
Conventional communication networks rely on packet error rate (PER) information for data traffic routing and transmission parameter adaptation, which lacks detailed bit-level error information, leading to inefficient and reactive decision-making.
Innovation Solution
Implementing systems that collaboratively share bit error pattern information among network nodes, allowing for bit-level data traffic routing decisions and proactive error prevention by considering bit error patterns, such as numbers, locations, and randomness of errors, to optimize data transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If packet error rate (PER) information is used for data traffic routing, then routing decisions can be made with existing information, but the routing efficiency and error prevention capability are insufficient due to lack of detailed bit-level error information
Solution Approach 1:
The patent segments the error information into detailed bit-level components (bit error patterns, error positions, error counts) rather than using aggregated packet error rate. This segmentation allows routing decisions to be based on granular error characteristics, enabling more precise identification of problematic links and better routing optimization.
Solution Approach 2:
The patent implements preliminary action by proactively preventing errors before they occur. By monitoring bit error patterns and predicting future error conditions, the system can preemptively reroute traffic away from degrading links before actual packet errors occur, rather than reacting after errors have already impacted transmission.
2Reliability
If detailed bit error pattern information is collected and shared among network nodes, then proactive error prevention and optimized routing decisions can be achieved, but the network complexity and information processing requirements increase
Solution Approach 1:
The patent extracts only the essential bit-level error information (error patterns, positions, and statistics) needed for routing decisions, rather than collecting and processing all possible error data. This selective extraction reduces the information processing burden on network nodes while still providing sufficient detail for proactive error prevention and optimized routing.
Solution Approach 2:
The system performs preliminary analysis of bit error patterns to predict future error conditions, enabling proactive routing decisions. By identifying trends in error patterns before they lead to actual transmission failures, the network can preemptively adjust routing paths, improving reliability without requiring complex real-time error correction mechanisms at each node.
3Productivity
If bit error pattern information is shared collaboratively among all network nodes, then routing decisions can be optimized using comprehensive error data, but the communication overhead and processing time increase
Solution Approach 1:
The patent implements local quality by allowing each network node to maintain and use bit error pattern information specific to its local links and neighbors, rather than requiring all nodes to share and process complete error data from the entire network. This localized approach reduces communication overhead and processing time while still enabling optimized routing decisions based on relevant error information.
Solution Approach 2:
The system performs preliminary aggregation and filtering of bit error pattern information at each node before sharing with neighbors, reducing the volume of data that needs to be communicated across the network. By pre-processing error data locally to extract only the most relevant patterns and statistics, the system minimizes communication overhead while maintaining the ability to make informed routing decisions.
Data Source
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AI summary
Data traffic routing and/or transmission parameter adaption decisions are made at a sending node by considering error patterns of one or more possible receiving nodes at the bit level. Data traffic routing and/or transmission parameter adaption decisions may be used to preemptively prevent data errors from occurring as data traffic is transmit by a sending node. The error pattern information may include information on numbers of bit errors in a code word or information on relative randomness or burstiness of bit error patterns at the one or more possible receiving nodes. The collaboratively shared error pattern information may be determined and updated over time intervals or upon selected conditions occurring. In one embodiment, a next hop node may be determined using bit error patterns of neighbor nodes. In another embodiment, transmission parameter adaption or channel selection may be determined using bit error patterns.