Process-Based Antenna Configuration for Wireless Devices
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Solution Overview
Problem
Higher frequency wireless technologies, such as 5G, face challenges with increased directionality and susceptibility to signal obstruction due to user interaction, leading to reduced wireless performance and increased power consumption.
Innovation Solution
A process-based antenna configuration technique that calibrates wireless devices by identifying obstruction states based on user interaction scenarios, prioritizing unobstructed antennas and deactivating obstructed ones to optimize wireless performance and conserve power.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If higher frequency wireless technologies (5G, mmWave) are used to achieve increased data rates, then wireless transmission speed is improved, but susceptibility to signal obstruction increases
Solution Approach 1:
The antenna configuration is dynamically adjusted based on real-time detection of obstruction states. The system monitors sensor data to identify when antennas are obstructed by user hands or objects, and automatically reconfigures which antennas are active, transitioning from a static to a dynamic adaptation strategy that maintains performance despite changing conditions.
Solution Approach 2:
The system changes the operational parameters of the wireless communication system by switching between different antenna configurations. When obstruction is detected, the system alters which antennas are active and modifies transmission parameters to compensate for the blocked signal paths, thereby maintaining effective communication despite the harmful obstruction factor.
2Reliability
If multiple antennas are kept active to maintain wireless performance, then signal reception is improved, but power consumption increases
Solution Approach 1:
Instead of keeping all antennas continuously active, the system applies partial action by selectively activating only the subset of antennas that are currently unobstructed and most effective for the given usage scenario. This reduces power consumption while maintaining sufficient signal reception quality by using just enough antenna resources needed at each moment.
Solution Approach 2:
The wireless device performs self-diagnosis through sensor monitoring to automatically identify which antennas are obstructed and which are available, then autonomously reconfigures its antenna array without external intervention. This self-service capability ensures optimal signal reception while minimizing power consumption by keeping only necessary antennas active.
3Reliability
If antenna configuration is dynamically adjusted based on obstruction detection, then wireless performance is improved, but device complexity increases
Solution Approach 1:
The system uses a unified sensor array already present in the device for multiple purposes: both for user interaction detection and for antenna obstruction detection. By making the sensor system multi-functional, the patent avoids adding dedicated complexity solely for antenna management, as the existing sensors serve dual roles in enhancing both user experience and wireless performance.
Solution Approach 2:
The patent merges the antenna configuration management function with the existing sensor processing pipeline. Instead of creating a separate complex subsystem for antenna control, the system combines multiple functions (usage scenario detection, obstruction detection, and antenna selection) into an integrated process that leverages shared hardware and software resources, thereby reducing overall device complexity.
Data Source
AI summary
Techniques for process based antenna configuration are described, and may be implemented via a wireless device to identify different usage scenarios and to adapt antenna configurations to optimize wireless performance based on the scenarios. For instance, the described techniques enable a wireless device to be calibrated for wireless communication by identifying different obstruction states of a wireless device that correspond to ways that the wireless device is held (e.g., grasped) by a user in different scenarios. The obstruction states are then correlated to antenna positions in the wireless device to prioritize (e.g., activate) antennas that are relatively unobstructed, such as by activating unobstructed antennas and/or deactivating obstructed antennas. Further, calibration can take into specific processes (e.g., applications) and specific users to calibrate an optimize wireless performance based on ways in which a user typically interacts with a process.