HE-LTF Symbol Transmission via P-Matrix Segmentation
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Solution Overview
Problem
Current wireless communication systems face increased computational complexity and power demands with the growing number of transmission streams, particularly in channel estimation for high efficiency long training field (HE-LTF) symbol generation, which hinders efficient data throughput and processing time.
Innovation Solution
The system employs an advanced P-matrix design and tone multiplexing to transmit HE-LTF symbols, allowing for the calculation of wireless channel properties for a subset of streams after receiving a portion of the HE-LTF symbols, reducing the need for full matrix operations and optimizing channel estimation and power distribution across tones.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the number of transmission streams is increased to address growing data throughput demand, then data throughput capacity is improved, but computational complexity for channel estimation increases
Solution Approach 1:
The LTF mapping matrix is segmented into multiple blocks, where each block corresponds to a subset of spatial streams. This allows the receiver to process channel estimation in smaller, manageable segments rather than handling the entire matrix at once, thereby reducing computational complexity while supporting a larger total number of streams.
Solution Approach 2:
The patent enables partial channel estimation by allowing the receiver to calculate wireless channel properties for a subset of streams using only a portion of the HE-LTF symbols. This partial action approach reduces the immediate computational burden while maintaining the capability to estimate channels for all streams as more symbols are received.
2Measurement precision
If full LTF mapping matrix operations are performed for channel estimation, then accurate channel properties are obtained, but processing time increases
Solution Approach 1:
The LTF mapping matrix is pre-structured into blocks with specific patterns that enable incremental processing. This preliminary organization allows the receiver to perform valid channel estimation operations on available subsets of symbols and streams without waiting for the complete matrix, thereby reducing processing time while maintaining estimation accuracy for the processed portions.
Solution Approach 2:
The system allows channel estimation to be performed on a subset of streams using a portion of the LTF mapping matrix, providing timely partial results rather than delaying all processing until the complete matrix is available. This trades off some potential accuracy for significant reductions in processing time.
3Quantity of substance
If more HE-LTF symbols are transmitted to support increased spatial streams, then stream capacity is improved, but timing constraints become more stringent
Solution Approach 1:
The transmission of HE-LTF symbols is segmented into multiple blocks corresponding to different subsets of spatial streams. This segmentation allows the system to support a larger total number of streams by distributing them across multiple symbol blocks, while each individual block can be processed within existing timing constraints, effectively relaxing the overall timing pressure.
Data Source
AI summary
Embodiments described herein provide a system for transmitting high efficiency long term training field (HE-LTF) symbols for multiple wireless spatial streams over a wireless channel. An advanced P-matrix design is used to construct HE-LTF symbols that are processed by a receiver such that channel properties such as channel estimates or carrier phase error are determined prior to receiving all HE-LTF symbols. Tone multiplexing of wireless spatial stream is also used to transmit multiple spatial streams based on an assignment of sets of spatial streams to sets of tones available for transmission, increasing the throughput of the transmission system. The advanced P-matrix design and tone multiplexing are used in combination to achieve calculate channel properties before receiving all HE-LTF symbols while minimizing power fluctuation among the high efficiency short training field symbol and the HE-LTF symbols.