Method and Apparatus for Targeted Ratio of Signal Power to Interference plus Noise Power for Enhancement of a Multi-user Detection Receiver

Multi-user detection (MUD) receivers are utilized extensively in wireless communication systems, especially in situations with multiple simultaneous users. These ecosystems frequently encounter various signals ─ intended, noise, and interfering ─  making it tricky to isolate and identify the signal of interest (SOI) accurately. Thus, there exists a need for improved MUD methodologies that can efficiently manage this complexity. Current approaches to tackle this problem often involve simplistic methods that do not account for variable signal interferences and noise. They mainly struggle in environments with high levels of interfering signals, where the signal-to-interference-plus-noise ratio (SINR) can hamper the effective detection of SOI. Hence, there is a pressing requirement for a more efficient, reliable solution capable of producing acceptable SINR even in noisy conditions.

Technology Description

The invention is a method for identifying a beam in a multi-user detection (MUD) receiver that produces a specific signal-to-interference-plus-noise ratio (SINR). The process involves determining a maximum output SINR and beam weights that can achieve the target SINR using the maximum output SINR. These beam weights are then applied to received signals that may contain an intended signal, interfering signals, and noise to generate a beamformed signal with the desired SINR. One of the key differentiators of this technology is its approach to signal detection and recovery in a noisy environment. The technology determines beam weights to achieve the target SINR and applies these weights to filter out the noise and interference, thereby generating an optimized, beamformed signal that ensures better signal recovery in multi-user detection units.