An Open-Source CAMARA UE Location API Implementation over 3GPP NEF for AI-Native Crowd Assessment in 6G Networks

Network Exposure Application Programming Interfaces
(APIs) are pivotal for 5G/6G ecosystems, enabling thirdparty
developers to access granular network data via standardized
interfaces. This paper presents a proof-of-concept (PoC) implementation
that exposes 5G Core (5GC) User Equipment (UE)
location data by integrating the Common API Marketplace and
Repository Architecture (CAMARA) Device Location API, the
Common API Framework (OpenCAPIF) framework and a 3rd
Generation Partnership Project (3GPP)-compliant Network Exposure
Function (NEF). We introduce a Transformation Function
(TF) that bridges the gap between high-level CAMARA requests
and 3GPP MonitoringEvent operations, simplifying developer
interaction with complex core network functions. The framework
is validated using an open-source 5GC environment through
an Artificial Intelligent (AI)-native crowd-mobility application.
Results demonstrate the feasibility of standardized network
exposure and provide design insights for future 6G, exposure platforms.