SRI Channel Coding for 5-Bit Minimum Distance in MIMO Feedback
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Solution Overview
Problem
Current error correction coding schemes in wireless communication systems, such as those used in HRPD revision C, have a minimum distance of 4 bits in their (8, 2) repetition coding scheme, which is less than the maximal minimum distance of 5 bits, limiting their ability to correct bit errors in MIMO systems.
Innovation Solution
The implementation of an (8, 2) code using a combination of a (3, 2) simplex code and a (5, 2) shortened Hamming code to achieve a maximal minimum distance of 5 bits, enhancing the error correction capability for spatial rank information transmission in MIMO systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If (8, 2) repetition coding scheme is used, then the implementation is simple, but the minimum distance is only 4 bits which limits error correction capability
Solution Approach 1:
The patent combines a (3, 2) simplex code with a (5, 2) shortened Hamming code to create an (8, 2) code with minimum distance 5. This merging of two simpler codes achieves the optimal error correction capability while maintaining reasonable implementation complexity through structured code combination.
Solution Approach 2:
The invention uses composite coding structure by integrating two different error correction codes (simplex code and shortened Hamming code) into a unified (8, 2) coding scheme. This composite approach leverages the strengths of both constituent codes to achieve maximal minimum distance.
2Device complexity
If (8, 2) repetition coding scheme is used, then the system complexity is low, but the minimum distance of 4 bits is less than the maximal minimum distance of 5 bits
Solution Approach 1:
The patent merges a (3, 2) simplex code and a (5, 2) shortened Hamming code to construct an (8, 2) code that achieves the maximal minimum distance of 5 bits. This combination allows the system to reach optimal error correction performance without excessive complexity increase.
Solution Approach 2:
The invention changes the coding parameters by transitioning from simple repetition coding to a structured combination of simplex and shortened Hamming codes. This parameter change increases the minimum distance from 4 to 5 bits, improving error correction capability while maintaining practical implementation complexity.
Data Source
AI summary
A method for transmitting feedback information via a Spatial Rank Index (SRI) channel includes determining, at an access terminal, a value of a spatial rank index and transmitting, from the access terminal through the SRI channel, feedback information indicating the determined value of the spatial rank index according to a prescribed coding. The codeword of the prescribed coding is one of: (0,0,0,0,0,0,0,0), (1,0,1,0,1,1,0,1), (0,1,1,1,0,0,1,1), or (1,1,0,1,1,1,1,0).