SC-MIMO Beam Weight Update via Channel Fluctuation Analysis
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Solution Overview
Problem
The calculation of transmission weights for beam forming in wideband SC-MIMO transmission systems is computationally intensive due to the number of antennas and paths, requiring significant updates whenever channel conditions change.
Innovation Solution
A wireless communication system that calculates the update value of transmission weights based on channel fluctuation amounts, using only the paths with significant fluctuations, to reduce the computational load during the beam forming process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If transmission weights are calculated based on the transfer function matrix of the communication path response to suppress inter-stream interference, then the beam forming performance is improved, but the amount of calculation becomes huge depending on the number of transmitting antennas, receiving antennas, and paths
Solution Approach 1:
The patent segments the calculation process by separating the initial transmission weight calculation from the update process. The initial weight is calculated based on the transfer function matrix, but subsequent updates only recalculate weights for paths with significant fluctuations, dividing the full calculation into manageable portions.
Solution Approach 2:
Instead of recalculating all transmission weights during updates, the patent applies partial action by only updating weights for paths where the channel fluctuation exceeds a threshold. This reduces the calculation burden while maintaining beam forming performance for the most critical paths.
2Measurement precision
If transmission weights are updated frequently to adapt to channel changes, then the beam forming accuracy is improved, but the computational load increases significantly
Solution Approach 1:
The patent introduces dynamic adaptation by continuously monitoring channel fluctuations and adjusting the update frequency based on actual channel conditions. When channels are stable, updates are reduced; when fluctuations exceed thresholds, updates are triggered, optimizing the balance between accuracy and computational load.
Solution Approach 2:
The patent changes the parameter being monitored from the absolute channel state to the channel fluctuation amount. This allows the system to adaptively update weights based on the rate of change rather than the state itself, reducing unnecessary updates when channels are stable while maintaining accuracy when conditions change rapidly.
3Reliability
If all paths are considered in weight calculation to ensure comprehensive interference suppression, then the interference cancellation performance is improved, but the calculation time increases
Solution Approach 1:
The patent extracts and focuses only on the critical paths that contribute most to interference and channel fluctuations. By identifying paths with fluctuations exceeding a threshold and updating weights only for those paths, the system maintains effective interference suppression while eliminating unnecessary calculations for stable paths.
Data Source
AI summary
A transmitting station device at least comprises a training signal generation unit, and a receiving station device at least comprises a communication path estimation unit which estimates a communication path response from the known signal, and a beam forming unit which performs a beam forming process using a weight to suppress inter-stream interference, a channel fluctuation amount calculation unit which calculates as a channel fluctuation amount a difference between the communication path responses estimated in a manner of one following another in time, and a weight calculation unit which calculates a new weight using an updated value of the weight calculated based on the channel fluctuation amount are included in one of the transmitting station device and the receiving station device. This can significantly reduce the amount of calculation related to update of a weight.


