Crowdsourced Interference Model for Wireless Beam Management
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Solution Overview
Problem
As the number of antenna elements in wireless communication devices increases and the density of wireless communication devices in a system increases, interference becomes a significant issue, reducing the performance and reliability of wireless communication systems and causing interference to coexisting services.
Innovation Solution
The method involves receiving serving beam information from multiple wireless communication devices, generating an interference model that indicates the locations of clusters in the channel environment, and using this model to predict interference for a transmitting device, thereby adjusting transmission parameters to mitigate interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the number of antenna elements and device density are increased, then wireless communication capacity and coverage are improved, but interference between devices and services increases
Solution Approach 1:
The system performs preliminary actions by collecting serving beam information from multiple devices and generating an interference model in advance. This model predicts potential interference before transmissions occur, allowing the system to proactively adjust transmission parameters or select alternative beams to avoid interference issues rather than reacting after they occur.
Solution Approach 2:
The system implements feedback mechanisms by continuously collecting serving beam information from wireless communication devices and using this data to update and refine the interference model. The model's predictions are fed back to the transmitting devices, which adjust their transmission parameters accordingly, creating a closed-loop system that adapts to changing interference conditions.
2Measurement precision
If serving beam information from multiple devices is collected and processed, then interference prediction accuracy is improved, but system complexity and processing requirements increase
Solution Approach 1:
The interference model serves multiple functions: it characterizes channel environment clusters, predicts interference for different transmitting devices, and provides guidance for beam selection and transmission parameter adjustment. By creating a single multi-functional model rather than separate specialized systems, the patent reduces overall system complexity while maintaining comprehensive interference prediction capabilities.
Solution Approach 2:
Instead of having each device perform complex interference analysis, the system creates a simplified interference model that captures the essential interference characteristics. This model acts as a copy or representation of the complex channel environment, allowing devices to make interference predictions by querying the model rather than performing full-scale simulations themselves.
Data Source
AI summary
Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a device may receive serving beam information associated with a plurality of wireless communication devices. The device may generate an interference model based at least in part on the serving beam information associated with the plurality of wireless communication devices, the interference model indicating locations of one or more clusters in a channel environment. The device may obtain, using the interference model, information associated with an interference prediction for a transmitting wireless communication device. The device may transmit the information associated with the interference prediction to the transmitting wireless communication device. Numerous other aspects are provided.