Radio Apparatus Beam-Space Interference Suppression
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Solution Overview
Problem
In radio communication systems, especially with Massive MIMO, the existing methods for suppressing interference signals require extensive matrix inversion calculations, which become computationally intensive due to the large number of antennas, leading to increased calculation complexity.
Innovation Solution
A radio apparatus that performs spatial transformation on received signals to generate a beam-space received signal vector, selects specific elements to form a reduced-dimensional vector, and estimates a covariance matrix to generate a reception weight for interference suppression, thereby reducing the computational burden.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the MMSE-IRC method is used to suppress interference signals, then interference suppression performance is improved, but the amount of calculation increases enormously due to inverse matrix calculation on large-dimensional matrices
Solution Approach 1:
The patent segments the high-dimensional interference suppression problem into two stages: first performs spatial transformation to obtain beam-space received signal vectors, then performs interference suppression on the reduced-dimensional beam-space vectors. This segmentation reduces the matrix inversion dimension from the original antenna count to a smaller beam-space dimension, significantly lowering calculation complexity while maintaining interference suppression performance.
Solution Approach 2:
The patent transforms the problem from the antenna domain to the beam-space domain through spatial transformation. By changing the dimensionality and basis of the signal representation, the interference suppression operation is performed in a lower-dimensional beam-space, reducing the computational burden of matrix inversion from O(N^3) to O(M^3) where M < N.
2Productivity
If the number of antennas is increased for Massive MIMO, then system capacity and signal quality are improved, but the calculation amount for interference suppression increases enormously
Solution Approach 1:
The patent separates the functions of signal reception and interference suppression by introducing a spatial transformation stage. The large antenna array first performs spatial transformation to generate beam-space vectors, and then interference suppression is applied to these reduced-dimensional vectors. This allows Massive MIMO to maintain high system capacity while reducing the computational burden of interference suppression.
Solution Approach 2:
The patent introduces beam-space received signal vectors as an intermediary representation between the antenna received signals and the final interference-suppressed signals. This intermediary form enables the system to handle large numbers of antennas efficiently by performing subsequent processing in a lower-dimensional beam-space rather than directly on the high-dimensional antenna signals.
Data Source
AI summary
A radio apparatus capable of reducing the amount of calculation required to suppress an interference signal is provided. A radio apparatus (1) includes a spatial transformation unit (2) configured to perform a spatial transformation on a received signal including a desired signal and an interference signal received by a plurality of antennas, and thereby calculate a first beam-space received signal vector, a beam selecting unit (3) configured to select at least two elements from the first beam-space received signal vector and generate a second beam-space received signal vector, and an interference suppression synthesis unit (4) configured to estimate a covariance matrix of an interference noise signal including a noise signal and the interference signal included in the second beam-space received signal vector, generate a reception weight by using this covariance matrix, and detect the desired signal based on the reception weight and the second beam-space received signal vector.