Cellular Network Base Station Placement Optimization
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Solution Overview
Problem
Current cellular network designs, particularly 5G-NR, prioritize throughput over localization accuracy, leading to suboptimal positioning performance and increased Geometrid Dilution of Precision (GDOP) due to inadequate base station placement, which affects the delivery of location-based services and network management.
Innovation Solution
A computer-implemented method and system that jointly optimize network throughput and positioning performance by using a Throughput-Positioning Ratio (TPR) to determine the optimal placement of base stations, balancing bit-rate and localization accuracy through a joint performance optimization routine, ensuring accurate user localization and enhanced service delivery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If base station deployment is optimized for throughput only, then network throughput performance is improved, but positioning accuracy deteriorates due to suboptimal base station placement and high GDOP
Solution Approach 1:
The patent merges throughput optimization and positioning optimization into a single joint objective function. The network planner simultaneously considers both throughput KPIs and positioning KPIs (such as GDOP and positioning accuracy) when determining base station deployment decisions, rather than optimizing them separately. This combining approach allows the system to find deployment configurations that balance both performance metrics.
Solution Approach 2:
The patent introduces weighting parameters that control the relative importance of throughput versus positioning objectives in the joint optimization function. By adjusting these parameters, the system can flexibly prioritize either throughput or positioning accuracy depending on operational requirements, enabling dynamic adaptation to different network conditions and service demands.
2Measurement precision
If additional base stations are deployed to improve positioning accuracy, then localization precision is improved, but network complexity and deployment cost increase
Solution Approach 1:
The patent combines positioning accuracy optimization with throughput optimization in a unified framework. This ensures that additional base stations are deployed only when they provide dual benefits or when positioning requirements explicitly demand it, rather than adding stations solely for positioning purposes. The joint optimization prevents unnecessary deployment that would increase complexity without proportional benefits.
Solution Approach 2:
The system uses configurable parameters to control the trade-off between positioning accuracy and network complexity. By adjusting the weighting of positioning KPIs in the objective function, operators can determine the appropriate level of base station deployment needed to achieve desired positioning accuracy while avoiding excessive complexity.
3Area of stationary object
If base station placement is optimized for coverage, then network coverage is improved, but positioning performance deteriorates due to inadequate consideration of geometric dilution of precision
Solution Approach 1:
The patent merges coverage optimization with positioning optimization by incorporating positioning KPIs such as GDOP calculations into the joint objective function. The network planner simultaneously evaluates coverage metrics and positioning metrics when making base station deployment decisions, ensuring that coverage and positioning goals are achieved together rather than in conflict.
Data Source
AI summary
A computer-implemented method is provided for optimizing positioning performance of a cellular network. The method includes: defining a target area; identifying a set (S) of base station deployment candidate sites (j) within the target area; obtaining, by executing a joint performance optimization routine that jointly optimizes network throughput and positioning performance, wherein a tuning parameter regulates a throughput-positioning ratio of the joint performance optimization routine, active candidate sites as a subset of the set (S) of base station deployment candidate sites (j); and determining the obtained active candidate sites as the sites at which base stations are to be deployed.