Private 5G

Edge computing in telecommunications places compute, storage, and application execution close to users and devices — at cell sites, regional points of presence, or on-prem enterprise locations — rather than only in distant hyperscale data centres. The goal is to reduce end-to-end latency, limit backhaul load, satisfy data residency, and enable real-time applications (AR/VR, industrial control, V2X, video analytics) that are impractical with 50–100 ms round trips to central clouds. In 5G, edge is tightly coupled to the user plane: a local UPF on N6 breakout forwards traffic to an edge data network (DN) hosting MEC applications without hairpinning through the operator’s core hub.

The 5G Core (5GC) is the packet core network architecture defined by 3GPP from Release 15 onward as the control and user-plane backbone of standalone 5G deployments. It replaces the Evolved Packet Core (EPC) of 4G LTE not through incremental evolution but through a deliberate architectural break: where the EPC was built around monolithic, hardware-bound network functions interconnected by point-to-point interfaces, the 5GC is designed from the ground up around a Service-Based Architecture (SBA) — every network function exposes its capabilities as a set of services over a common HTTP/2 bus (the Service-Based Interface, SBI), and any authorised consumer NF can discover and invoke those services through the NRF (Network Repository Function) without bilateral peering agreements or proprietary protocols. This shift reflects two structural requirements of 5G that EPC could not satisfy: network slicing — the ability to run logically independent end-to-end networks (each with its own QoS, isolation, and lifecycle) on shared physical infrastructure — and cloud-native deployment, where NFs run as containerised microservices on commodity compute, can be horizontally scaled, and are managed by standard Kubernetes-compatible orchestration rather than vendor-specific element managers. The 5GC also enforces a hard separation between Control Plane (CP) and User Plane (UP) — the CUPS principle inherited from 3GPP Release 14 and fully operationalised here — so that the UPF (User Plane Function) handling packet forwarding, QoS enforcement, and traffic anchoring can be distributed to the edge independently of the control logic, enabling ultra-low-latency and MEC scenarios without redesigning the control plane. The architecture is access-agnostic: the same 5GC serves NR (New Radio), eLTE, Wi-Fi (untrusted/trusted non-3GPP access), and fixed-wireless access through a unified N2/N3 reference point toward the access network and a common UE context model in the AMF.

The AI-RAN Alliance is a global industry consortium, launched at MWC Barcelona in February 2024 and governed by a Technical Steering Committee (TSC), whose mission is to accelerate the integration of artificial intelligence into Radio Access Networks and to define what an AI-native RAN looks like in practice for 5G Advanced and 6G. The alliance deliberately positions itself as neither a marketing organisation nor a demo factory: it pursues pioneering, pre-competitive work — reference architectures, blueprints, and credible benchmarking — without getting mired in formal standards processes or IP negotiations. Its work spans three complementary objectives — AI-for-RAN (using AI/ML to improve RAN performance and efficiency), AI-and-RAN (co-locating RAN and AI workloads on shared accelerated infrastructure), and AI-on-RAN (hosting tenant-facing AI applications at the network edge for differentiated, monetisable connectivity). Founding members include Ericsson, Nokia, NVIDIA, T-Mobile, SoftBank, Samsung, AWS, Microsoft, and Arm; membership grew from a handful at launch to 130+ organisations by MWC 2026, spanning operators, NEPs, hyperscalers, silicon vendors, universities, and government research bodies across more than 17 countries.