Expert system for sectorized cell configuration by radio fingerprint data analytics in wireless cellular networks

• Cell configuration estimation using RF fingerprint w/o manual operations.
• Novel fingerprint data analytics to estimate sectorized cell configuration.
• Statistical implication for the effectiveness of RF fingerprint data management.

We built an effective estimation method for sectorized cell configuration in cellular networks by focusing on a holistic radio fingerprint map that contains cell identifiers and signal strength measurements on grid segmentation. The antenna orientation and beamwidth of each sectorized cell can be estimated by the precise determination of valid fingerprints. The proposed iterative fingerprint data management detects the valid fingerprints and makes a coherently compensated fingerprint per grid. A proper weighting scheme for linear regression approach can efficiently estimate the sectorized cell configuration of each base station without difficult manual field measurements. The mobile service providers can economically plan network configurations and manage subscribers using these advances in the estimation of sectorized cell configuration.