Generalized Beamformer for Rank-Deficient Channel Sensing
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Solution Overview
Problem
Current communication systems, particularly in 5G NR, face challenges in optimizing channel sensing for rank-deficient scenarios, which affect the accuracy and efficiency of beamforming and signal reception.
Innovation Solution
The method involves applying Nso sensing beam vectors to Nso received signals at Nant antennas to obtain Nso measurements, and then determining a beam vector based on these measurements and the sensing beam vectors, thereby improving signal processing and beamforming.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional channel sensing methods are used in rank-deficient scenarios, then the system complexity remains low, but the measurement precision and beamforming accuracy deteriorate
Solution Approach 1:
The system performs preliminary channel sensing using multiple sensing beam vectors before final beam selection. By pre-computing measurements with multiple sensing beams and storing them, the system prepares channel state information in advance, enabling accurate beam vector determination without increasing real-time processing complexity
Solution Approach 2:
The channel sensing process is segmented into multiple independent measurements, each using a different sensing beam vector. Instead of attempting to sense the channel with a single beam, the system divides the sensing task into Nso separate measurements, each contributing to the overall channel understanding and enabling more accurate beamforming decisions
2Reliability
If multiple sensing beam vectors are applied to improve beamforming accuracy, then the signal reception quality improves, but the processing time and computational load increase
Solution Approach 1:
Channel sensing measurements are performed in advance using multiple sensing beam vectors, and the results are stored for later use. This preliminary action allows the system to have pre-computed channel state information ready, reducing the time required for real-time beamforming decisions while maintaining high signal reception quality
Solution Approach 2:
The system applies more sensing beam vectors than the minimum required (Nso >= 1), using excessive sensing measurements to ensure accurate beamforming even in rank-deficient scenarios. This partial or excessive action provides a margin of error and ensures reliable signal reception without requiring perfect optimization
Data Source
AI summary
In an aspect of the disclosure, a method, a computer-readable medium, and an apparatus are provided. The apparatus may be a device. The device applies Nso sensing beam vectors to Nso received signals at Nant antennas to obtain Nso measurements, respectively, Nso and Nant each being an integer greater than or equal to 1. The device determines a beam vector based on the Nso measurements and the Nso sensing beam vectors.