Perception-Assisted Wireless Communication for Dynamic Beam Blocking
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Solution Overview
Problem
Existing wireless communication systems face challenges in adapting to dynamic environmental conditions, leading to communication errors and inefficiencies due to factors like beam blocking and path loss, particularly in environments with moving vehicles and obstacles.
Innovation Solution
Incorporating perception information from sensors to generate a perception of the environment, allowing devices to adjust communication parameters based on environmental characteristics, such as beam conditions and object blocking, to enhance communication performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If wireless communication systems use traditional communication methods without perception information, then device complexity remains low, but communication reliability deteriorates due to inability to adapt to dynamic environmental conditions
Solution Approach 1:
The patent introduces perception information as an intermediary element that bridges the gap between environmental conditions and communication parameters. Sensors capture environmental data (objects, beams, blocks) and this perception information is shared between devices to adjust communication parameters, improving reliability without requiring each device to have full environmental awareness capabilities
Solution Approach 2:
The system performs preliminary actions by proactively adjusting communication parameters based on predicted environmental changes. When sensors detect potential blockages or beam conditions, the system pre-adjusts parameters before communication errors occur, enabling adaptive communication that maintains reliability under dynamic conditions
2Productivity
If devices adjust communication parameters dynamically based on environmental perception, then communication efficiency improves, but the difficulty of detecting and measuring environmental conditions increases
Solution Approach 1:
The patent employs multi-functional sensors that serve both perception and communication purposes. The same sensors used to detect environmental conditions also provide data for communication parameter adjustment, and the system handles multiple types of environmental detection (objects, beams, blocks) through a unified perception framework, reducing the complexity of implementing comprehensive environmental monitoring
Solution Approach 2:
The system implements feedback mechanisms where communication performance data is fed back to the perception system. This feedback loop allows the system to refine its environmental detection and parameter adjustment algorithms, improving communication efficiency while the feedback information itself helps calibrate the difficulty of environmental detection by providing ground truth for validation
Data Source
AI summary
A first device may receive, from a second device, perception information for an environment of the first device based at least in part on a perception capability of the second device. The first device may generate a perception associated with a communication by the first device based at least in part on the perception information from the second device, where the perception indicates characteristics of the environment. The first device may adjust a parameter associated with the communication based at least in part on the perception. Numerous other aspects are described.