Dynamic Antenna Selection for Wireless Power Optimization
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Solution Overview
Problem
In artificial reality systems, latency in wireless communication between head-wearable displays and consoles can cause judder and motion sickness, degrading the user experience due to inadequate communication quality and power efficiency.
Innovation Solution
A device with multiple antennas dynamically selects the most efficient antenna configuration based on data rate and power consumption metrics to ensure sufficient communication quality and extend battery life, switching between antennas to maintain optimal performance during user movement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple antennas are used for wireless communication, then communication reliability and data rate are improved, but power consumption increases
Solution Approach 1:
The system dynamically selects between single-antenna and multi-antenna configurations based on real-time communication conditions. The processor evaluates metrics including data rate, power consumption, and signal strength to determine the optimal antenna configuration, transitioning between configurations as conditions change to balance reliability and power efficiency
Solution Approach 2:
The system changes operational parameters by adjusting the number of active antennas based on evaluated metrics. When communication quality deteriorates or data rate requirements increase, the system transitions from single-antenna to multi-antenna mode, and vice versa when power efficiency becomes prioritized
2Reliability
If antenna switching is performed frequently to maintain optimal performance, then communication quality is improved, but system complexity and latency increase
Solution Approach 1:
The processor continuously monitors communication metrics including data rate, power consumption, and signal strength to evaluate antenna configuration performance. This feedback mechanism enables informed switching decisions based on actual communication conditions rather than arbitrary or overly frequent switching
Solution Approach 2:
The system evaluates multiple metrics and determines the optimal antenna configuration before switching occurs. By assessing communication conditions and predicting the benefit of switching, the system avoids unnecessary transitions and prepares switching decisions in advance based on measured performance parameters
Data Source
AI summary
Disclosed herein are systems, devices and methods related to a wireless communication. In one aspect, a device determines a first metric according to a first data rate and a first power consumption of communication through a first antenna of the device. In one aspect, the device determines a second metric according to a second data rate and a second power consumption of communication through the first antenna and a second antenna of the device. In one aspect, the device selects one or more of the first antenna and the second antenna for communication with another device, according to the first metric and the second metric. In one aspect, the device communicates through the one or more of the first antenna and the second antenna.