Spatial Stream Parser Dynamic Parsing Rules
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Solution Overview
Problem
Current wireless communication systems face challenges in efficiently parsing data into spatial streams, particularly when system configurations do not satisfy certain constraints, leading to improper data recovery and exclusion of desirable data rates.
Innovation Solution
The method involves selecting a modulation and coding scheme (MCS) and encoding information bits, with a spatial stream parser that uses either a first set of parsing rules if constraints are met or a second set of rules if not, to ensure unambiguous decoding across various system configurations, including those that initially do not satisfy parsing constraints.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a single set of parsing rules is used for all system configurations, then the parsing process is simple, but system configurations that do not satisfy parsing constraints cannot be properly decoded
Solution Approach 1:
The patent implements dynamic parsing rules that adapt based on system configuration parameters. The parser dynamically selects between a first set of parsing rules and a second set of parsing rules depending on whether the system configuration satisfies certain constraints, allowing the system to handle both standard and non-standard configurations appropriately
Solution Approach 2:
The patent changes the parsing parameters (rules) based on system configuration parameters. When the system configuration satisfies parsing constraints, one set of rules is applied; when it does not satisfy the constraints, a different set of rules is applied, enabling flexible adaptation to various operational conditions
2Reliability
If padding bits are added to ensure coded bits fit inside integer number of OFDM symbols, then data transmission is reliable, but data rates are reduced
Solution Approach 1:
The patent changes the parsing approach based on system configuration to reduce or eliminate the need for padding bits. By using appropriate parsing rules for different configurations, the system can maintain reliable data transmission while improving data rates, particularly for configurations that previously required extensive padding
3Productivity
If certain system configurations are excluded to satisfy parsing constraints, then decoding is simpler, but operational flexibility and desirable data rates are lost
Solution Approach 1:
The patent makes the parsing system dynamic by implementing conditional logic that selects different parsing rules based on system configuration. This allows the system to support a broader range of configurations including those with higher data rates, while maintaining manageable complexity through structured rule selection based on configuration parameters
Data Source
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AI summary
In a method for parsing data in a data unit into a number of spatial streams, a modulation and coding scheme (MCS) is selected from a plurality of MCSs. Information bits are encoded using one or more encoders to generate coded bits, wherein the number of encoders used depends on the selected MCS. The coded bits into a number of spatial streams according to a first set of parsing rules if the coded bits satisfy a parsing constraint. The coded bits are parsed into the number of spatial streams according to a second set of parsing rules if the coded bits do not satisfy the parsing constraint.