Network Planning Method for Mobile Communication Gap Areas
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Solution Overview
Problem
Current network planning methods primarily focus on edge throughput targets and user-centric scenarios, failing to account for the evolving data service demands and real service features, leading to suboptimal performance as networks mature and intelligent terminals become prevalent.
Innovation Solution
An information processing method and apparatus that determines user target throughput and grid throughput ability, identifying gap areas by analyzing service experience levels and network service models, and adjusts network planning to enhance grid throughput accordingly, either by adding new base stations for coverage-restricted areas or expanding carriers for capacity-restricted areas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If network planning is conducted based on edge throughput target using propagation models, then basic service requirements can be met in early network development, but the planning results become suboptimal as networks mature and real service features evolve
Solution Approach 1:
The patent changes the fundamental parameters of network planning from theoretical propagation models to actual service-level throughput data. By collecting and analyzing real throughput data across different service types (voice, data, video) and network conditions, the system dynamically adjusts planning parameters to reflect actual service requirements rather than theoretical assumptions
Solution Approach 2:
The patent implements a feedback mechanism where actual network performance data is continuously collected from user terminals and network elements, then fed back into the planning system. This closed-loop approach allows the network planning to adapt and improve based on real-world performance, ensuring planning results remain accurate as networks mature and service patterns evolve
2Ease of manufacture
If network planning focuses only on user-centric scenarios and edge throughput targets, then implementation is simplified, but it fails to account for evolving data service demands and real service features
Solution Approach 1:
The patent segments the network planning process into distinct service-type analyses (voice services, data services, video services) rather than treating all services uniformly. Each service type is evaluated with its specific throughput requirements and characteristics, allowing the system to maintain implementation simplicity while accurately addressing diverse service demands through modular, service-specific planning modules
3Device complexity
If the network operates without identifying gap areas between target throughput and actual throughput, then operational complexity is reduced, but user experience and service quality deteriorate
Solution Approach 1:
The patent replaces complex manual network optimization processes with automated algorithms that continuously analyze throughput data and identify gap areas. The system automatically detects regions where actual throughput falls below target throughput and generates optimization recommendations, substituting what would otherwise require complex manual intervention with an automated data-driven system that maintains low operational complexity while ensuring high service quality
Data Source
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AI summary
The present invention relates to the field of mobile communications technologies, and in particular, to an information processing method and apparatus, which are used to resolve a technical problem that no better network planning method is available in the prior art. In embodiments of the present invention, a UTT for a user terminal and a GTA of a grid in which the user terminal is located are determined, so that whether a GAP area exists in the grid is determined. This determining manner not only considers user experience, but also makes reference to real service features of a network. Conducting network planning in this manner can make network planning more appropriate and make user experience better.