MUD Receiver Beamforming With Target SINR Under Strong Interference
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Solution Overview
Problem
Conventional beamforming followed by successive interference cancellation (SIC) in multi-user detection (MUD) receivers can be suboptimal, especially when the interfering signal strength is significantly higher than the signal of interest (SOI), and existing methods for finding suitable beams are inefficient, often requiring exhaustive searches.
Innovation Solution
A method to determine beam weights that achieve a target signal-to-interference-plus-noise ratio (SINR) in a closed-form manner, allowing for enhanced performance and accuracy without significantly degrading the signal-to-noise ratio (SNR) of the SOI, using techniques such as minimum variance distortion-less response (MVDR), space time adaptive processing (STAP), or space time frequency adaptive processing (STFAP) beamforming.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional beamforming followed by successive interference cancellation (SIC) is used in MUD receivers, then the receiver can operate in the presence of interference, but the performance is suboptimal when interfering signal strength is significantly higher than the signal of interest
Solution Approach 1:
The patent changes the beamforming parameters by optimizing beam weights to achieve a target SINR value. Instead of using conventional beamforming followed by SIC, the invention directly optimizes the beamforming weights to maximize SINR, adapting the parameters to counteract strong interfering signals and improve MUD receiver performance in high interference environments
2Reliability
If exhaustive search methods are used to find suitable beams for MUD enhancement, then a suitable beam can be found, but the computational efficiency is low
Solution Approach 1:
The patent extracts the essential characteristic needed for beam selection by directly optimizing for target SINR achievement rather than performing exhaustive searches through all possible beams. The invention formulates an optimization problem that directly seeks the beam weights achieving the desired SINR, eliminating the need to evaluate every possible beam configuration
Solution Approach 2:
The invention changes the approach from searching through discrete beam options to continuously optimizing beam weights as parameters. By formulating the problem as finding beam weights that achieve a target SINR, the patent transforms the discrete search problem into a continuous optimization problem that can be solved more efficiently
Data Source
AI summary
According to some embodiments, in a multi-user detection (MUD) receiver, a method for identifying a beam which produces a specific signal-to-interference-plus-noise ratio (SINR) can include: determining a maximum output SINR; determining beam weights to achieve a target SINR using the determined maximum output SINR; applying the beam weights to one or more received signals to generate a beamformed signal having the target SINR, one or more of the received signals having a signal of interest (SOI), one or more interfering signals, and noise; and providing the beamformed signal to a multi-user detection unit to recover the SOI.