Sub-carrier Matrix Order for Beamforming Feedback
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Solution Overview
Problem
Current wireless network devices face challenges in optimizing signal transmission and reception in infrastructure and ad-hoc modes, particularly in improving range, signal quality, and bandwidth, due to limitations in feedback mechanisms and beamforming techniques.
Innovation Solution
The implementation of a network device with a feedback module that generates a transmission schedule and calibration module to receive and process channel state information (CSI), which is used to adjust beamforming weights and steer RF signals effectively, enhancing communication between link partners through matrix maps and subcarrier schedules.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple transmit and receive antennas are employed to improve range, signal quality, and bandwidth, then the wireless network performance is improved, but the device complexity and feedback mechanism requirements increase
Solution Approach 1:
The patent segments the channel state information into multiple CSI matrices, each corresponding to different antenna pairs or signal paths. This segmentation allows the receiving device to process and feedback channel information in a structured manner, managing the complexity of multiple antennas while maintaining signal quality improvement through selective beamforming.
Solution Approach 2:
The patent implements a feedback mechanism where the receiving device measures channel state information, generates CSI matrices, and feeds back selected elements to the transmitting device. This feedback loop enables the transmitting device to adjust beamforming weights dynamically, improving signal quality while the feedback structure manages the complexity through selective reporting of critical channel information.
2Productivity
If beamforming weights are adjusted dynamically based on CSI feedback, then transmission efficiency and signal-to-noise ratio are improved, but the feedback mechanism complexity and processing requirements increase
Solution Approach 1:
The patent applies local quality by selecting and feeding back only specific elements of the CSI matrix that are most relevant to current transmission conditions. Instead of feedback all channel information, the system identifies critical CSI elements that locally represent the most important channel characteristics, reducing feedback complexity while maintaining transmission efficiency through targeted beamforming adjustments.
Solution Approach 2:
The receiving device performs preliminary processing of channel state information by organizing measurements into CSI matrices and pre-selecting relevant elements before feedback transmission. This preliminary action reduces the processing burden on the transmitting device and simplifies the feedback mechanism, while still enabling dynamic beamforming weight adjustment for improved transmission efficiency.
3Measurement precision
If channel state information is collected and processed for each subcarrier, then frequency-selective beamforming performance is improved, but the processing time and computational complexity increase
Solution Approach 1:
The patent segments channel state information processing by creating separate CSI matrices for different subcarriers or frequency ranges. This segmentation allows parallel processing of frequency-specific channel characteristics, maintaining measurement precision for frequency-selective beamforming while reducing overall processing time through divide-and-conquer approach.
Solution Approach 2:
The system performs partial processing by focusing computational resources on processing CSI for subcarriers that are currently active or most relevant to ongoing transmissions. Instead of continuously processing all possible subcarriers, the system applies partial action by selectively processing only the necessary frequency components, reducing processing time while maintaining measurement precision where it matters most.
Data Source
AI summary
A first network device including a first calibration module to generate training signals for each of a plurality of subcarriers. The training signals are transmitted from the first network device to a second network device via antennas of the first network device using the subcarriers. A first steering module receives a first matrix for each subcarrier, which includes channel state information for each of the training signals received by the second network device, from the second network device according to a transmission schedule and generates a steering matrix based on the first matrix. The transmission schedule is predetermined or is transmitted to the second network device prior to transmitting the training signals. A first control module adjusts, based on the steering matrix, first beamforming weights associated with the antennas to direct first radio frequency signals to be transmitted toward the second network device.