Antenna Configuration for Adaptive Multiplexing
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Solution Overview
Problem
Wireless communication devices face challenges in adaptively selecting the most effective set of antennas for transmission and reception, given varying environmental conditions and hardware limitations, which can lead to suboptimal performance and increased power consumption.
Innovation Solution
Implementing a method for wireless communication devices to dynamically select antennas based on current conditions, such as signal strength and interference, by activating additional antennas for measurement and switching to a different set when performance thresholds are not met, allowing for adaptive multiplexing and transmit/receive diversity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple antennas are activated for measurement and selection, then communication performance and reliability are improved, but power consumption and device complexity increase
Solution Approach 1:
The system dynamically adjusts the number and configuration of active antennas based on current communication conditions. The UE can switch between using all antennas for measurement and a subset for operation, adapting the antenna configuration to balance performance and power consumption in real-time
Solution Approach 2:
The patent changes the operational parameters of the antenna system by adjusting which antennas are active and how they are configured based on measured conditions. This allows the system to optimize the trade-off between reliability and power consumption by selecting appropriate antenna subsets for different operating scenarios
2Measurement precision
If multiple antennas are activated for measurement, then antenna selection accuracy is improved, but device complexity and power consumption increase
Solution Approach 1:
The antenna system is segmented into different functional groups, with some antennas designated for measurement and others for operation. This segmentation allows the system to achieve accurate measurements while managing complexity by organizing antennas into distinct roles and configurations
3Productivity
If antenna configuration is dynamically adjusted, then communication performance is improved, but system complexity increases
Solution Approach 1:
The system employs feedback mechanisms where the UE measures communication conditions using active antennas and uses this information to determine optimal antenna configurations. This feedback loop enables automatic adaptation of antenna settings to maximize throughput while managing complexity through rule-based decision making
Data Source
AI summary
Adaptive multiplexing and transmit/receive diversity. A wireless device may include multiple antennas. A first set of antennas may be used for communication. One or more trigger conditions may be determined, and additional antennas may be activated for measurement. Based on the measurement(s), a second set of antennas may be selected and used for communication.