Mobile user devices, seeing a base station, can usually detect multiple base stations and access points capable of supporting communications in 5G or 6G. However, some of these may be crowded or distant, while others may be close enough to provide excellent reception. To assist the mobile user device in selecting an optimal base station for signal quality, the user device can include a network database that lists the locations and frequencies (and other data) about available base stations and access points. The user device can then use an artificial intelligence (AI) model, or an algorithm derived from AI, to select the base station or access point likely to provide the best signal quality while in transit. This would be much faster and simpler than the current alternative, of blindly searching through all the detectable base station sequentially.