Sub-Vector Division in MIMO Decoding to Limit Error Propagation
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Solution Overview
Problem
Existing recursive sub-block decoding algorithms in MIMO systems suffer from sub-optimal performance due to interference between sub-vectors of information symbols, leading to decoding errors and inefficient computational complexity tradeoffs.
Innovation Solution
A decoder that determines candidate sets of division parameters for dividing information symbols into sub-vectors based on a selection criterion using division metrics, optimizing the division of the upper triangular matrix to minimize interference and improve decoding accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If deterministic sub-block division is used in QR-based decoding, then device complexity is reduced, but decoding performance deteriorates due to interference between sub-vectors
Solution Approach 1:
The patent transforms the static, deterministic sub-block division into a dynamic, adaptive process. The division parameters are selected based on channel conditions and interference characteristics, allowing the system to optimize the trade-off between complexity and performance in real-time. This resolves the contradiction by making the complexity reduction adaptive rather than fixed.
Solution Approach 2:
The patent changes the division parameters (sub-block sizes, number of sub-vectors) based on channel state information and interference metrics. By dynamically adjusting these parameters, the system can reduce complexity when channel conditions permit while maintaining decoding accuracy when interference is high, thus resolving the contradiction between complexity reduction and performance maintenance.
2Productivity
If sub-vectors are decoded recursively with deterministic division, then computational complexity is reduced, but error propagation increases due to interference between sub-vectors
Solution Approach 1:
The patent performs preliminary selection of division parameters based on channel conditions before the actual decoding process. This preliminary action optimizes the sub-block division to minimize interference effects, thereby reducing error propagation in the subsequent recursive decoding while maintaining computational efficiency.
Solution Approach 2:
The system uses feedback from channel state information and interference measurements to adaptively select division parameters. This feedback mechanism allows the decoder to adjust its structure to minimize error propagation, resolving the contradiction between fast decoding and error performance.
3Ease of manufacture
If fixed sub-block division is applied, then implementation simplicity is improved, but adaptability to different channel conditions deteriorates
Solution Approach 1:
The patent introduces dynamics into the previously static sub-block division by making it adaptive to channel conditions. The system maintains implementation simplicity through structured algorithms while adding adaptability by selecting from predefined division configurations based on channel state, thus resolving the contradiction between simplicity and adaptability.
Data Source
AI summary
Embodiments of the invention provide a decoder for decoding a signal received through a transmission channel in a communication system, said signal comprising a vector of information symbols, wherein the decoder comprises:a processing unit (307) configured to determine at least one candidate set of division parameters and to perform a division of said vector of information symbols into a set of sub-vectors in association with each candidate set of division parameters, each pair of sub-vectors being associated with a division metric;a selection unit (309) configured to select one of said candidate sets of division parameters according to a selection criterion depending on said division metric; anda decoding unit (311) configured to determine at least one estimate of each sub-vector associated with said selected set of division parameters by applying a symbol estimation algorithm,wherein the decoder is configured to determine at least one estimate of the vector of information symbols from said at least one estimate of each sub-vector of information symbols.