AAS Transceiver Self-Healing via Beam Weight Reconstruction
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Solution Overview
Problem
As the number of transceivers (TRXs) in active antenna systems (AAS) increases, so does the likelihood of malfunctioning TRXs, leading to significant variations in null depth and deterioration of spatial multiplexing performance.
Innovation Solution
A wireless communication apparatus with a plurality of transceivers, a calibration transceiver, and a controller that detects malfunctions during calibration operations and executes self-healing processing by reconstructing downlink beam forming weights using functional TRXs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the total number of transceivers in AAS is increased to achieve high-speed and large-capacity data transmission, then spatial multiplexing performance is improved, but the number of malfunctioning TRXs increases due to aging deterioration
Solution Approach 1:
The system dynamically changes the operational parameters by identifying and excluding malfunctioning TRXs from beam forming calculations. The controller adjusts the beam forming weight calculation to use only reliably operating TRXs, thereby maintaining spatial multiplexing performance despite TRX failures.
Solution Approach 2:
The system performs self-diagnosis and self-healing by automatically detecting malfunctioning TRXs through calibration signals and reconstructing beam forming weights using only functional TRXs. This self-service mechanism maintains system performance without external intervention.
2Manufacturing precision
If the number of malfunctioning TRXs increases, then variation in null depth in directions to other terminals increases, but spatial multiplexing performance deteriorates
Solution Approach 1:
The system uses calibration signals transmitted to and received from calibration transceivers to obtain feedback on TRX operational status. This feedback is used to identify malfunctioning TRXs and adjust beam forming weights accordingly, maintaining null depth precision.
Solution Approach 2:
The system extracts and removes the influence of malfunctioning TRXs from the beam forming calculation by identifying them through calibration signal analysis and excluding them from the weight calculation, thereby preserving spatial multiplexing performance.
3Reliability
If self-healing processing is executed to maintain spatial multiplexing performance, then system reliability is improved, but processing time and complexity increase
Solution Approach 1:
The system performs preliminary calibration operations to identify malfunctioning TRXs before they significantly impact spatial multiplexing performance. By detecting TRX status through calibration signals in advance, the system can reconstruct beam forming weights proactively rather than reactively.
Data Source
AI summary
A wireless communication apparatus includes a plurality of transceivers, a calibration transceiver, and a controller. The controller detects a malfunction of each of the plurality of transceivers, based on a downlink calibration signal being output from each of the plurality of transceivers to the calibration transceiver during a downlink calibration operation and an uplink calibration signal being output from each of the plurality of transceivers to the controller during an uplink calibration operation, and executes self-healing processing of reconstructing a downlink beam forming weight for spatial multiplexing by using the transceiver other than the malfunctioning transceiver among the plurality of transceivers.