Antenna Pattern Selection Using Image and Depth Data

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Solution Overview

Problem

Mobile computing devices with dynamic antennas face challenges in efficiently selecting the optimal antenna pattern for wireless communications, especially when the device is in motion, leading to suboptimal signal strength due to time-consuming iteration through multiple patterns.

Innovation Solution

The use of image data and depth data to quickly select a designated antenna pattern known to perform well at a given location, leveraging historically optimal patterns and allowing for subsequent reassessment of antenna performance.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If the device iterates through each antenna pattern to identify the optimal one, then the signal strength can be optimized, but the process becomes time-consuming and the selection may be suboptimal when the device location changes during evaluation

Engineering Contradiction:

Improvesignal strengthVSAvoidtime for antenna pattern evaluation

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The system performs preliminary actions by capturing image data and depth data before final antenna pattern selection. This environmental data is used to quickly determine a designated antenna pattern without requiring time-consuming iterative evaluation, thus resolving the contradiction between optimization reliability and evaluation time.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

Image data and depth data serve as intermediaries between the antenna system and the environment. These intermediaries enable the system to make informed antenna pattern selections based on environmental context without directly measuring each pattern's performance in real-time, reducing evaluation time while maintaining selection accuracy.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Speed

If the device quickly switches between antenna patterns based on historical data, then the selection speed increases, but the adaptability to current location conditions may decrease

Engineering Contradiction:

Improveantenna pattern selection speedVSAvoidadaptability to current location

Core Design Contradiction:

SpeedVSAdaptability or versatility

Solution Approach 1:

The system dynamically adapts by using current image data and depth data to determine the appropriate antenna pattern. Rather than relying solely on static historical data, the system continuously updates its selections based on real-time environmental perception, maintaining both speed and adaptability.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system incorporates feedback mechanisms where image and depth data continuously inform antenna pattern selections. This feedback loop ensures that historical patterns are updated and refined based on current environmental conditions, maintaining adaptability while preserving selection speed.

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS12328174B2Selection of antenna patterns based on image data and depth data

Publication Date: 2025.06.10 HEWLETT PACKARD DEVELOPMENT COMPANY LP

AI summary

An example mobile computing device includes: an antenna capable of switching between a plurality of antenna patterns; an image sensor to capture image data representing an environment of the mobile computing device; a depth sensor to capture depth data representing the environment of the mobile computing device; a processor connected to the antenna, the image sensor and the depth sensor, the processor to: obtain the image data and the depth data; select a designated antenna pattern from the plurality of antenna patterns based on the image data and the depth data; and control the antenna to use the designated antenna pattern.