MIMO Receiver Signal Processing via Shared RE Group Filters
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Solution Overview
Problem
Massive MIMO systems face high computational complexity and memory requirements due to increased data streams and interference, leading to performance deterioration and increased system costs.
Innovation Solution
The method involves forming resource element (RE) groups with high channel correlation, using a preprocessing filter shared among REs, and applying a numerical analysis algorithm like the conjugate gradient method to reduce computational complexity and interference cancellation load.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If the number of transmit and receive antennas is increased to improve communication capacity, then the communication capacity increases, but the computational complexity and memory requirements of the receiver increase
Solution Approach 1:
The patent segments the processing of received signals by dividing layers into different groups based on channel correlation. Instead of processing all layers uniformly, the receiver identifies highly correlated layers and processes them together using shared preprocessing filters, while treating less correlated layers separately. This segmentation reduces the overall computational complexity by avoiding redundant processing of correlated layers.
Solution Approach 2:
The patent changes the processing parameters by adaptively determining detection orders for different layer groups based on channel correlation coefficients. The receiver dynamically adjusts which layers are processed together and in what order, optimizing the balance between computational complexity and detection performance according to the actual channel conditions.
2Reliability
If interference cancellation is performed to improve signal quality, then performance deterioration is reduced, but computational complexity increases
Solution Approach 1:
The patent applies preliminary action by performing preprocessing filtering on received signals before detection. Shared preprocessing filters are applied to groups of highly correlated layers to pre-cancel interference and enhance desired signals. This preliminary interference cancellation reduces the burden on subsequent detection stages, achieving better signal quality with reduced overall computational complexity.
Solution Approach 2:
The patent applies partial interference cancellation by selectively processing only highly correlated layer groups with shared preprocessing filters, rather than attempting to cancel interference from all layers uniformly. This partial action focuses computational resources on the most critical interference sources, achieving acceptable signal quality improvement without the full computational burden of complete interference cancellation.
3Ease of operation
If detection order is fixed for all resource elements, then processing is simplified, but performance optimization is limited
Solution Approach 1:
The patent introduces dynamics by making the detection order adaptive rather than fixed. The receiver dynamically determines detection orders for different layer groups based on real-time channel correlation measurements. This allows the system to optimize performance for varying channel conditions while maintaining reasonable processing complexity through structured adaptation.
Solution Approach 2:
The patent applies local quality by allowing different detection orders for different resource element groups based on their specific channel characteristics. Instead of a uniform detection order across all resource elements, the system tailors the detection order locally to match the channel correlation patterns of each group, optimizing performance for diverse channel conditions.
Data Source
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AI summary
Disclosed is a reception signal processing method of an MIMO receiver, which determines a detection order, which is the order of processing reception signals received by a plurality of layers through a plurality of antennas, by using channel information of a reference RE; generates a common multi-filter for processing the reception signals according to the detection order, generates an RE group, which includes a plurality of REs and in which the common multi-filter generated on the basis of the reference RE is to be shared, and applies the common multi-filter to each reception signal of the REs excluding the reference RE in the RE group such that detection signals are generated for the plurality of layers from each reception signal of the REs.