Iterative Antenna Pattern Determination for Phase Offset Compensation
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Solution Overview
Problem
Current wireless communication systems face challenges in determining optimal antenna beam patterns for high-throughput communications, especially in scenarios with unknown phase offsets and asymmetries, where traditional codebooks are ineffective and require additional signaling.
Innovation Solution
An iterative method for determining preferred transmit and receive antenna patterns by adjusting coefficients based on received reference signals, allowing devices to communicate effectively without relying on pre-defined codebooks or array manifolds, and enabling over-the-air calibration for phase offset compensation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional codebooks are used for determining antenna beam patterns, then the system has a predefined structure for beamforming, but it becomes ineffective in scenarios with unknown phase offsets and asymmetries and requires additional signaling
Solution Approach 1:
The system performs self-calibration by having the transmitting device send test signals through different antenna subsets and the receiving device evaluating which subset provides the best signal quality. The receiving device then feeds back this information, allowing both devices to automatically determine their optimal antenna patterns without external calibration equipment or complex pre-defined codebooks.
Solution Approach 2:
The patent changes the approach from using fixed codebook parameters to dynamically determining antenna patterns based on actual channel conditions. By iteratively testing different antenna subsets and coefficient combinations, the system adapts the beamforming parameters to match the specific phase offsets and asymmetries present in the communication channel.
2Measurement precision
If an exhaustive search method is used to determine optimal antenna patterns, then the system can find the best beamforming coefficients, but the computational complexity increases significantly
Solution Approach 1:
The patent divides the antenna array into smaller subsets and evaluates each subset separately through iterative testing. Instead of searching through all possible antenna combinations simultaneously, the system segments the search process into manageable iterations, where each iteration tests a specific subset configuration and provides feedback for the next iteration.
Solution Approach 2:
The system employs a dynamic iterative approach where the antenna subset configuration changes based on feedback from previous iterations. The beamforming coefficients are continuously adjusted based on measured signal quality, allowing the system to converge toward optimal values without exhaustively searching the entire parameter space.
3Ease of manufacture
If pre-defined codebooks and array manifolds are used for beamforming, then the system has a structured approach to antenna patterns, but it reduces adaptability to unknown channel conditions
Solution Approach 1:
The patent implements a feedback mechanism where the receiving device measures the quality of received test signals from different transmitting antenna subsets and sends this information back to the transmitting device. This feedback loop allows the system to adapt to unknown channel conditions by continuously refining the antenna pattern selection based on actual performance measurements rather than relying on pre-defined assumptions.
Solution Approach 2:
The system performs preliminary calibration by exchanging test signals and evaluating different antenna configurations before actual data transmission begins. This preliminary action establishes the optimal beamforming coefficients for the current channel conditions, ensuring that the subsequent communication uses the most adaptive and effective antenna patterns.
Data Source
AI summary
Aspects of the present disclosure propose a method for determining preferred transmit and receive antenna patterns of a wireless device with respect to another wireless device. The method generally includes determining the beamforming or calibrating coefficients corresponding to the preferred transmit and receive antenna patterns of a wireless device iteratively.