Antenna Selection Method for User Equipment Power Optimization
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Solution Overview
Problem
Modern user equipment (UE) faces challenges in efficiently managing power consumption while maintaining communication quality due to the use of multiple antennas, as existing methods do not effectively select and utilize antennas to reduce power consumption without compromising communication quality.
Innovation Solution
A method for UE that hierarchically and adaptively selects fewer antennas by calculating quality evaluations and constructing weighting vectors to optimize antenna subsets for transmission and reception, reducing power consumption while ensuring communication quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple antennas are used for wireless communication, then communication quality is improved, but power consumption increases
Solution Approach 1:
The antenna set is divided into multiple antenna subsets, where each subset contains one or more antennas. The system segments the full antenna array into manageable groups that can be independently evaluated and selected based on communication conditions, allowing partial usage of the complete antenna set to balance performance and power consumption.
Solution Approach 2:
The antenna selection is dynamic and adaptive, with the system continuously evaluating quality metrics (such as RSRP, RSRQ, SINR) and adjusting which antenna subset is active based on current communication conditions. This dynamic adaptation allows the system to optimize between using more antennas for better quality or fewer antennas for lower power consumption depending on real-time requirements.
2Use of energy by moving object
If fewer antennas are selected to reduce power consumption, then power consumption is reduced, but communication quality may deteriorate
Solution Approach 1:
The system implements feedback mechanisms by continuously measuring quality metrics (RSRP, RSRQ, SINR) for different antenna subsets and using this feedback to determine which subset to activate. This closed-loop approach ensures that when fewer antennas are selected for power savings, the system verifies that communication quality remains within acceptable thresholds, and can switch to larger subsets if quality degradation is detected.
Solution Approach 2:
The system changes operational parameters by evaluating multiple quality metrics (power metrics, channel quality indicators, signal strength) and adjusting the antenna subset selection based on these parameter changes. This allows the system to identify the minimal antenna subset that maintains acceptable communication quality under varying conditions.
Data Source
AI summary
The invention provides a method for antenna selectin of a user equipment (UE). The UE may comprise a plurality of antennas. The method may comprise calculating one or more quality evaluations respectively associated with one or more first antenna subsets, and selecting one of the one or more first antenna subsets according to the one or more quality evaluations. Each antenna subset may include one or more of the plurality of antennas. Each quality evaluation may be calculated under a condition that the antenna(s) included in the associated antenna subset is (are) used to communicate.