Partial Nulling Beamforming for MIMO Signal De-correlation
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Solution Overview
Problem
Existing MIMO network beamforming methods fail to effectively de-correlate signals and maximize gain while managing computational complexity and receiving gain, particularly in creating beamformed channels with partial nulling.
Innovation Solution
A method that involves a base station receiving signals from multiple antennas, calculating beamforming weighting vectors by partially nulling out interference signals to create de-correlated beamformed channels, reducing computational complexity and maintaining significant receiving gain.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If full nulling of interference signals is applied to create beamformed channels, then signal de-correlation is maximized, but receiving gain is significantly reduced
Solution Approach 1:
The patent applies partial nulling by controlling the nulling factor alpha (0 ≤ alpha < 1) to nullify only a portion of the interference signals rather than completely eliminating them. This partial action achieves sufficient signal de-correlation while preserving more of the desired signal energy, thus maintaining receiving gain. The beamforming weight vector is calculated as w = (αR_s + (1-α)R_i)^-1 h, where by adjusting alpha, the system balances between interference suppression and signal preservation.
2Measurement precision
If traditional eigenvalue decomposition method is used to compute beamforming weighting vectors, then accurate beamforming is achieved, but computational complexity increases
Solution Approach 1:
The patent transforms the traditional eigenvalue decomposition approach into a direct matrix inversion method by parameterizing the solution through the nulling factor alpha. Instead of performing full eigenvalue decomposition to find eigenvectors, the system directly computes the beamforming weight vector using w = (αR_s + (1-α)R_i)^-1 h, where R_s and R_i are signal and interference covariance matrices. This parameterized approach reduces computational complexity while maintaining beamforming accuracy through the controllable alpha parameter.
3Quantity of substance
If beamforming weighting vectors are computed using all receiving signals, then complete signal information is utilized, but interference de-correlation is insufficient
Solution Approach 1:
The patent segments the total receiving signals into two distinct components: desired signal components (R_s) and interference signal components (R_i). By separating these components and applying different weighting through the alpha parameter, the system can selectively emphasize signal preservation (when alpha is close to 1) or interference suppression (when alpha is close to 0). This segmentation allows the beamformer to independently control how much of each component is nulled, achieving both information preservation and interference de-correlation.
Data Source
AI summary
The present invention discloses a method for generating beamformed multiple-input-multiple-output (MIMO) channels. The method comprises receiving by a base station (BS) a first plurality of receiving signals transmitted from a first antenna on a mobile station (MS), receiving by the BS a second plurality of receiving signals transmitted from a second antenna on the MS, nulling out a first predetermined percentage of the second plurality of receiving signals to generate a third plurality of receiving signals, calculating a first beamforming weighting vector corresponding to the first antenna on the MS using the first and third pluralities of receiving signals and creating a first beamformed MIMO channel from the BS to the first antenna on the MS using the first beamforming weighting vector.


