Autonomous 5G Repeater Configuration via Location-Based gNB Ranking
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Solution Overview
Problem
Current techniques for configuring 5G network repeaters require external 5G CPE or UE for initial setup, leading to wastage of computing, networking, and human resources, as they do not allow for autonomous configuration.
Innovation Solution
A repeater management system that autonomously configures 5G network repeaters by using location data to identify appropriate base stations, rank them based on coverage projection recommendations, and provide configuration parameters, enabling proper beam alignment and setup without a backhaul link.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If external 5G CPE or UE is used for initial configuration, then the network repeater can be configured, but computing resources, networking resources, and human resources are wasted
Solution Approach 1:
The network repeater is equipped with autonomous configuration capabilities that allow it to self-configure without requiring external 5G CPE or UE devices. The repeater can independently detect base station signals, determine its location, and configure its beamforming parameters, thereby eliminating the waste of computing, networking, and human resources that would otherwise be required for manual configuration
2Ease of manufacture
If external 5G CPE or UE is used for initial configuration, then the network repeater can be configured, but the process requires additional human intervention
Solution Approach 1:
The network repeater performs autonomous configuration by automatically detecting base station signals, determining its geographical location, and configuring its beamforming parameters without human intervention. This self-service capability eliminates the need for technicians to manually configure repeaters using external CPE or UE devices
Solution Approach 2:
The network repeater uses feedback from signal detection and location determination to automatically adjust its configuration parameters. By continuously monitoring the radio environment and base station signals, the repeater can autonomously optimize its beamforming settings without requiring external configuration devices or human intervention
3Productivity
If traditional configuration methods are used, then network repeaters can be set up, but additional infrastructure costs are incurred
Solution Approach 1:
The network repeater autonomously configures itself using only the existing base station infrastructure, eliminating the need for additional CPE or UE devices. This self-service approach enables network densification and expansion without requiring extra infrastructure resources or additional hardware deployments
Data Source
AI summary
A device may receive location data identifying a location of a network repeater and an identifier of a base station serving the network repeater, and may identify, based on the identifier of the base station, a first set of gNodeBs anchored to the base station. The device may identify, based on the location data, a second set of gNodeBs from a data structure, and may compare the first set of gNodeBs and the second set of gNodeBs to determine a list of gNodeBs included in the first set of gNodeBs and the second set of gNodeBs. The device may rank the list of gNodeBs, based on coverage projection recommendations, to generate a ranked list of gNodeBs, and may receive, from the data structure, configuration parameters for the ranked list of gNodeBs. The device may provide the configuration parameters for the ranked list of gNodeBs to the network repeater.