Antenna Diversity Optimization via Filter Parameters
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Solution Overview
Problem
In massive MIMO systems, selecting and optimizing the use of multiple antennas for improving wireless link quality between a base station and user equipment is complex due to high correlation in radio channels, which affects performance.
Innovation Solution
The method involves instructing the user equipment to transmit pilot signals from multiple antennas, estimating wireless channels, defining parameters for filters based on amplitude balance and phase offset, and sharing channel state information to optimize energy distribution and phase alignment, enabling open-loop optimization of antenna diversity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple antennas are used in MIMO system, then antenna diversity performance is improved, but device complexity and difficulty of selecting optimal antenna increases
Solution Approach 1:
The system enables self-service by allowing the UE to autonomously select the optimal antenna based on filter parameters (amplitude balance and phase offset) provided by the BS. The UE uses these parameters to adjust its antenna selection without requiring complex centralized control, thereby improving antenna diversity performance while reducing system complexity.
Solution Approach 2:
The BS performs preliminary action by pre-calculating and providing filter parameters (amplitude balance and phase offset) to the UE before the UE needs to make antenna selection decisions. This preliminary provision of optimization parameters simplifies the UE's antenna selection process and improves overall system performance without increasing real-time complexity.
2Measurement precision
If channel estimation is performed at high rate, then channel quality is improved, but use of energy and system resources increases
Solution Approach 1:
The system applies partial action by having the UE apply filter parameters (amplitude balance and phase offset) to adjust channel estimates selectively. Instead of performing full high-rate channel estimation continuously, the UE uses these filters to refine estimates only when needed, thereby maintaining channel quality while reducing energy consumption and resource usage.
3Productivity
If filter parameters (amplitude balance and phase offset) are applied, then channel utilization is enhanced, but difficulty of detecting and measuring optimal parameters increases
Solution Approach 1:
The system implements feedback by having the BS measure the channel quality and determine optimal filter parameters (amplitude balance and phase offset) based on received pilot signals. The BS then provides these parameters back to the UE, creating a closed-loop feedback mechanism that enhances channel utilization while eliminating the difficulty of parameter detection at the UE side.
Data Source
AI summary
The invention is directed to systems, methods and computer program products for optimizing a wireless channel between a user equipment (“UE”) and a base station (“BS”). An exemplary method comprises instructing the UE to transmit a first pilot signal from a first antenna of the UE and a second pilot signal from a second antenna of the UE; estimating a first wireless channel for the first antenna and a second wireless channel for the second antenna; defining a first parameter of a first filter for the first wireless channel and a second parameter of a second filter for the second wireless channel; and transmitting the first parameter and the second parameter to the UE.