Base Station Image Recognition for 5G Beam Management
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Solution Overview
Problem
Millimeter wave technology in 5G communication systems faces interference and obstruction from physical objects, leading to difficulties in maintaining continuous communication between base stations and user equipment due to shadowing effects.
Innovation Solution
Implementing image sensors with integrated image recognition capabilities to detect and track humans in the communication environment, allowing base stations to adjust beam sweeping frequencies and improve UE detection by associating UE locations with recognized persons, thereby reducing latency and enhancing communication setup.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If millimeter wave technology is used to achieve high communication throughput, then communication speed is improved, but communication reliability deteriorates due to interference and obstruction from physical objects
Solution Approach 1:
The patent introduces image sensors as an intermediary system to detect physical objects that may obstruct millimeter wave communication. The base station uses image recognition to identify objects in the communication path and adjusts beam sweeping accordingly, mediating between the transmission system and environmental obstacles to maintain reliable communication.
2Measurement precision
If beam sweeping frequency is increased to improve UE detection in high frequency systems, then detection capability is improved, but energy consumption increases
Solution Approach 1:
The patent implements dynamic beam sweeping frequency adjustment based on real-time image recognition data. When physical objects are detected that may obstruct communication, the base station increases beam sweeping frequency in affected areas. When no obstacles are present, the frequency is reduced, optimizing the balance between detection capability and energy consumption.
3Measurement precision
If image sensors are integrated with base stations to detect and track humans, then UE detection accuracy is improved, but device complexity increases
Solution Approach 1:
The patent integrates image sensors into the base station structure to serve multiple functions: detecting physical objects that obstruct communication, tracking human users for association with UEs, and providing spatial awareness for beam management. This multi-functional integration improves UE detection accuracy while managing the increase in device complexity through consolidated functionality.
Data Source
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AI summary
A wireless electronic device (1900) used in a wireless communication system is described. The wireless electronic device performs operations including detecting a person in a geographical area serviced by a base station and communicating with the UE responsive to the detecting the person in the geographical area serviced by the base station. The UE is associated with the person in the geographical area serviced by the base station. Related methods are disclosed.