Intelligent Base Station 3D Environment Optimization
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Solution Overview
Problem
Current methods for selecting the placement location of small indoor base stations, especially in official or residential buildings, are not automated, leading to suboptimal resource allocation and poor mobile network coverage, resulting in lower user experience due to limited and uneven network coverage.
Innovation Solution
A method and apparatus that acquire environment information, identify texture and location information of scatterers, perform three-dimensional reconstruction, and determine communication quality parameters to identify the optimal placement location for an intelligent base station, which can be either the location with the smallest channel interference value or the largest system throughput.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If artificial placement methods are used to select base station location, then implementation simplicity is maintained, but communication performance and resource allocation optimization are compromised
Solution Approach 1:
The base station autonomously performs environment information acquisition, scatterer identification, three-dimensional reconstruction, and optimal location determination without requiring artificial intervention. The system serves itself by automatically selecting the best placement location based on communication quality parameters, resolving the contradiction between implementation simplicity and communication performance optimization.
Solution Approach 2:
The system dynamically adjusts the base station location based on calculated communication quality parameters (channel interference value and system throughput). By changing the location parameter to optimize communication performance, the system achieves both automated decision-making and improved reliability without complex manual intervention.
2Ease of manufacture
If fixed base station placement is used, then deployment simplicity is maintained, but adaptability to environmental changes is compromised
Solution Approach 1:
The base station location is transformed from a fixed static parameter to a dynamic optimized parameter. The system continuously monitors environment information and adjusts the base station location in response to changes in scatterer distribution and communication quality, enabling adaptability while maintaining simple automated deployment through three-dimensional spatial optimization.
Solution Approach 2:
The system implements a feedback mechanism where communication quality parameters (channel interference value and system throughput) are calculated based on current environment information, and this feedback is used to determine and adjust the optimal base station location. This closed-loop approach provides adaptability to environmental changes while keeping the deployment process simple through automated optimization.
3Device complexity
If limited network coverage is accepted, then system complexity is reduced, but user experience and service availability are compromised
Solution Approach 1:
The system transitions from two-dimensional ground-based base station placement to three-dimensional spatial optimization. By utilizing vertical and spatial dimensions in the three-dimensional simulated environment, the system achieves better network coverage and user experience without significantly increasing complexity, as the optimization is performed computationally rather than through physical complexity.
Solution Approach 2:
The system creates a three-dimensional simulated environment as a virtual copy of the real environment, performing communication quality calculations in this digital replica. This copying approach allows comprehensive optimization of network coverage and user experience through simulation and analysis, increasing coverage without proportionally increasing physical system complexity.
Data Source
AI summary
The present disclosure provides a method, an apparatus, and a storage medium for determining a location of an intelligent base station. The method includes: acquiring environment information of an environment in which the intelligent base station is located, and identifying texture information and location information of each scatterer in the environment in which the intelligent base station is located according to the environment information; performing a three-dimensional reconstruction on the environment in which the intelligent base station is located according to the texture information and the location information, to obtain a three-dimensional simulated environment; determining communication quality parameters in the three-dimensional simulated environment, and determining a location with a best communication quality according to the communication quality parameters, and determining the location with the best communication quality as the location of the intelligent base station, and the communication quality parameters includes a channel interference value or a system throughput.