Wireless Antenna Calibration via Feedback Signal Feature Maps
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Solution Overview
Problem
Current wireless communication networks face challenges in accommodating high data traffic growth due to limited bandwidth and lack of effective techniques for antenna calibration, leading to suboptimal performance and reduced throughput.
Innovation Solution
The implementation of methods for antenna calibration and feedback signal processing to determine geographic locations of wireless devices, generating feature maps for channel quality estimation, and using these maps to predict future network conditions and adjust transmissions accordingly, thereby improving antenna alignment and network efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If antenna calibration is performed using traditional methods requiring user devices to be stationary and at known locations, then calibration accuracy can be achieved, but the process is time-consuming and reduces network productivity
Solution Approach 1:
The system performs preliminary actions by pre-computing expected signal characteristics and preparing calibration data before the actual calibration process. The network device has pre-established reference signals and expected signal patterns that enable rapid comparison during calibration, eliminating the need for time-consuming real-time measurements and reducing the overall calibration time while maintaining accuracy
Solution Approach 2:
The patent uses copying by creating virtual representations of signal characteristics and channel conditions. Instead of physically measuring every parameter in real-time, the system generates and compares digital models of expected signal patterns against actual received signals, enabling rapid calibration without requiring physical repositioning of devices or extensive manual measurement processes
2Productivity
If more user devices are served simultaneously in a wireless network, then network capacity and throughput increase, but signal interference and channel quality degradation worsen
Solution Approach 1:
The system applies local quality by tailoring signal transmission parameters to specific local conditions at each user device location. The network device adjusts transmit power, beam direction, and modulation schemes based on the individual channel characteristics and interference environment of each device, enabling optimized service for multiple devices simultaneously without uniform treatment that would worsen interference
Solution Approach 2:
The patent implements dynamics by continuously adapting transmission parameters in real-time based on feedback channel conditions. The network device dynamically adjusts signal characteristics, transmission timing, and resource allocation according to changing interference levels and channel quality, allowing the system to maintain high throughput while managing interference through flexible, real-time parameter modification
3Productivity
If bandwidth is increased to accommodate high data traffic growth, then network capacity improves, but available spectrum resources become limited and more expensive
Solution Approach 1:
The system transitions from using only frequency dimension (bandwidth) to utilizing spatial dimension (beamforming and directional transmission). By directing signals more precisely in specific directions using antenna arrays, the network can serve more users simultaneously without requiring proportional increases in bandwidth, effectively adding a spatial dimension to resource allocation that increases capacity without consuming additional spectrum
Solution Approach 2:
The patent applies universality by making the antenna system serve multiple functions simultaneously - it performs calibration, channel estimation, beamforming, and interference management all through the same antenna array. This multi-functionality allows the system to maximize the utility of limited spectrum resources by efficiently managing multiple tasks without requiring separate dedicated resources for each function
Data Source
AI summary
Methods, systems and devices for wireless communication, which include localization and auto-calibration, are described. One example method includes receiving, at a wireless device, signal transmissions from one or more network devices, and generating, by processing the signal transmissions, a feedback signal for antenna calibration of the one or more network devices. In some embodiments, the antenna calibration is used for performing device localization and feature map generation that is subsequently used for scheduling transmissions in a wireless network.