Small Cell Parameter Configuration for Interference Management
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Solution Overview
Problem
The deployment of small cells in cellular networks is hindered by challenges such as high interference with macrocells, inefficient resource sharing, and unreliable handovers, due to the need for manual configuration by engineers, which is time-consuming and costly, and often results in suboptimal performance.
Innovation Solution
A cellular network manager that automatically and dynamically configures and updates parameters of small cell base stations to optimize network performance, using software agents and standards-based measurements to minimize interference, maximize throughput, and ensure efficient resource allocation, while adhering to predefined constraints.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If small cells are deployed to increase network capacity and coverage, then network performance is improved, but interference with macrocells increases
Solution Approach 1:
The patent dynamically adjusts transmission power levels, resource block allocations, and antenna beamforming parameters of small cells based on real-time channel conditions and interference measurements. This allows the system to maximize small cell capacity while maintaining interference below macrocell performance thresholds through continuous parameter optimization.
Solution Approach 2:
The system implements dynamic resource allocation where small cell transmission parameters are continuously adapted based on macrocell activity patterns, user equipment movements, and channel state information. This dynamic adjustment enables the network to respond to changing conditions and maintain optimal performance balance between small cells and macrocells.
2Manufacturing precision
If manual configuration is used to deploy small cells, then deployment accuracy is improved, but deployment time and cost increase
Solution Approach 1:
The patent implements self-configuration capabilities where small cells automatically perform initial network attachment, parameter optimization, and interference coordination without manual engineer intervention. The system uses automated algorithms to configure transmission power, resource allocation, and handover parameters based on local measurements, enabling rapid deployment while maintaining optimal performance.
Solution Approach 2:
The system incorporates continuous feedback mechanisms where small cells monitor network performance metrics and automatically adjust their configuration parameters. This closed-loop control enables the system to achieve deployment accuracy comparable to manual configuration while dramatically reducing deployment time through automated self-optimization.
3Productivity
If resource sharing between small cells and macrocells is increased, then spectral efficiency is improved, but interference management complexity increases
Solution Approach 1:
The patent divides the available spectrum into dedicated resource blocks for small cells and macrocells, with dynamic allocation based on traffic demands and interference conditions. This segmented resource management approach enables efficient spectral utilization while simplifying interference coordination through structured resource partitioning and standardized interface protocols.
Data Source
AI summary
A method of configuring a small cell base station in a cellular network via a cellular network manager includes, responsive to installation of the small cell base station, receiving measurement data from the small cell base station; determining one or more optimized values of one or more parameters for the small cell base station based on the measurement data and one or more constraints associated with at least a portion of the cellular network, wherein the one or more constraints are based on an impact of the small cell base station on one or more macrocells in the cellular network; and transmitting the one or more optimized values of one or more parameters to the small cell base station for configuration thereof.