Sensor-Assisted Antenna Beam Selection for Wireless
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Solution Overview
Problem
Millimeter wave (mmWave) wireless devices face high propagation loss and latency issues due to the need for frequent beam and antenna scanning, which is prohibitive for applications like augmented reality/virtual reality that require low latency and high-speed connectivity.
Innovation Solution
The implementation of sensor-assisted antenna and beam selection systems that use motion data from sensors like accelerometers and gyroscopes to optimize beamforming and antenna selection based on environmental changes, reducing the need for full scanning and enabling quick identification of optimal beam and antenna configurations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If full beam and antenna scanning is performed to identify optimal configurations, then link performance is improved, but communication latency and network overhead increase significantly
Solution Approach 1:
The system pre-determines beam and antenna configurations based on predicted device poses before actual communication occurs. By using motion sensors to anticipate future device orientations and pre-calculating optimal beamforming vectors and antenna selections, the system avoids real-time scanning delays while maintaining link performance.
Solution Approach 2:
Motion sensors serve as intermediaries that provide motion data about device movement. This motion data is used to predict future device poses, which then inform the selection of optimal beam and antenna configurations, eliminating the need for direct real-time scanning of all possible configurations.
2Reliability
If frequent beam and antenna scanning is performed to maintain connectivity during mobility, then connection reliability is improved, but network overhead and processing complexity increase
Solution Approach 1:
The system performs preliminary determination of beam and antenna configurations based on predicted device poses before mobility changes affect the connection. By anticipating future device orientations through motion sensing and pre-calculating optimal configurations, the system maintains connection reliability without requiring frequent real-time scanning.
Solution Approach 2:
Motion sensors continuously provide feedback about device movement and orientation changes. This feedback is used to update predictions of future device poses, which then trigger selective re-evaluation of beam and antenna configurations only when necessary, reducing overall scanning complexity while maintaining reliability.
3Power
If comprehensive beam and antenna evaluation is performed to overcome mmWave propagation loss, then signal strength is improved, but time and bandwidth overhead increase
Solution Approach 1:
The system pre-determines optimal beamforming vectors and antenna configurations based on predicted device poses before communication occurs. By using motion sensor data to anticipate future device orientations and pre-calculating the necessary beam and antenna settings, the system ensures strong signal strength is maintained without requiring time-consuming real-time evaluation of all possible configurations.
Data Source
AI summary
A wireless device is configured to select a beam and/or an antenna based on detection a detected position and/or orientation of the device relative to a remote device. The device obtains motion data indicating a change in position or orientation of the wireless device. The device determines its pose relative to the remote device. The device accesses a coverage map that associates, for each potential pose for the device with respect to the remote device: an antenna for communicating with the remote device and/or a beam for communicating with the remote device. The device selects a particular antenna and/or a particular beam for communicating with the remote device; and causes transmission or reception of data to or from the remote device by the particular antenna and/or the particular beam.