Cellular Network Planning with Dilution of Precision Cost Function
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Solution Overview
Problem
Existing cellular communication network planning techniques fail to optimize network configuration by neglecting location-based services and topology criteria, leading to suboptimal quality of service, especially in areas where location services are critical.
Innovation Solution
A method that optimizes cellular network planning by incorporating radioelectric, urbanization, and topological parameters, including the location and positioning of network apparatuses, to ensure a pre-defined quality of service for voice, data, and location-based services, using the concept of dilution of precision (DOP) to identify and correct misalignments in network design.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If prior art techniques optimize network configuration for voice and data services only, then the quality of voice and data services is improved, but the quality of location-based services deteriorates
Solution Approach 1:
The network planning method is extended to serve multiple functions simultaneously: it optimizes for traditional voice and data services while also optimizing for location-based services. The cost function integrates parameters for all three service types, allowing the same planning framework to deliver comprehensive quality of service across diverse network functions.
Solution Approach 2:
The invention introduces new parameters related to location service quality (such as geometric dilution of precision - GDOP) into the optimization framework. By adding these parameters to the cost function alongside traditional voice and data service parameters, the system adapts to evaluate and optimize location-based service quality without sacrificing existing service optimizations.
2Device complexity
If base station locations are fixed as input data, then the planning process is simplified, but the optimization of location services and topology criteria is limited
Solution Approach 1:
The method performs preliminary evaluation of location service quality during the network planning phase itself, before actual deployment. By calculating GDOP values and identifying critical areas in advance using simulated base station configurations, the system can optimize topology decisions early in the design process rather than requiring post-deployment adjustments.
Solution Approach 2:
The invention introduces a feedback mechanism where the evaluation of location service quality (through GDOP calculation) feeds back into the network planning optimization. This feedback loop allows the system to iteratively refine base station location decisions based on their impact on location service accuracy, transforming fixed input data into an optimized configuration.
3Reliability
If traditional network planning parameters are used, then voice and data service optimization is achieved, but location service quality deteriorates
Solution Approach 1:
The invention merges previously separate optimization objectives into a unified cost function. Traditional voice and data service parameters (such as signal-to-noise ratio, bit error rate, traffic capability) are combined with location service parameters (such as geometric dilution of precision) into a single comprehensive optimization framework that simultaneously considers all service types.
Solution Approach 2:
The system expands the parameter set by incorporating location-specific metrics like GDOP (geometric dilution of precision) alongside traditional radio parameters. This parameter expansion enables the optimization algorithm to simultaneously evaluate and balance the trade-offs between voice/data service quality and location service accuracy.
Data Source
AI summary
In a method of planning cellular communication networks, at least one cost function indicative of the quality of service rendered by the network is defined which takes into account the quality of service of location-based services rendered by the network. That cost function is preferably based on the concept of dilution of precision and is indicative of the quality of service of voice services, data services and location based services jointly. A system is provided for measuring at least one actual network parameter. The measurements provided by the measurement system are compared with the corresponding parameters as planned with the purpose of locating at least one critical point in the network where inadequate quality of service is being provided. Information items indicative of counter measures to be carried out in the network in order to dispense with at least one critical point are provided. The cost function may be optimised by using as input data the location of at least one base station in the cellular communication network.