AI-Native Networks — ORAN Infra Inc.

Phase 2 represents the shift from AI-assisted infrastructure to AI-Native architecture. By 2030, networks will no longer be managed by AI; they will be designed to be intrinsically intelligent, capable of self-healing and self-optimization at sub-millisecond timescales.

Architecture Paradigm

Self-Healing PHY Layer

The Physical Layer (PHY) automatically reconfigures based on interference patterns. AI agents at the edge adjust modulation and coding schemes (MCS) without backhaul latency.

Sense → Infer → Reconfigure

Intent-Based Routing

Engineers define high-level business goals (e.g., "Minimize latency for remote surgery"). The network autonomously derives the optimal routing policy ($ \pi^* $).

Bellman Equation for Policy Optimization

$$V^\pi(s) = R(s, \pi(s)) + \gamma \sum_{s' \in S} P(s' | s, \pi(s)) V^\pi(s')$$

Dynamic Allocation

Autonomous Resource Slicing

Traditional static slicing is replaced by Liquidity Resource Pools. Resources (Spectral, Compute, Power) are traded in micro-auctions managed by AI brokers, guaranteeing maximum utilization and deterministic QoS.

Resource Utility Function

$$U(C, E, L) = \omega_1 \log(C) - \omega_2 E - \omega_3 L$$

Where $C$ = Capacity, $E$ = Energy consumption, $L$ = Latency, and $\omega$ are intention weights.