OranSense
OranSence AI-native Open RAN infrastructure
AI-Native Open RAN

OranSence

A fully containerized, Kubernetes-native Open RAN software suite — disaggregated CU, DU, and RU with native AI-RAN integration and O-RAN Alliance compliance.

O-RAN Alliance Compliant
< 1msUser-plane latency
100GPeak throughput
O-RANAlliance certified
AI-nativeKubernetes-native

Disaggregated RAN, Reimagined for the Cloud

OranSence decouples the traditional RAN stack into independently deployable microservices — O-CU-CP, O-CU-UP, O-DU, and O-RU — each containerized and orchestrated via Helm charts on any CNCF-conformant Kubernetes cluster.

The platform ships with a built-in near-RT RIC and xApp SDK, enabling real-time radio resource management, interference mitigation, and AI-driven beam management without vendor lock-in.

Designed for multi-vendor interoperability, OranSence has been validated at O-RAN Alliance PlugFest events and supports 3GPP Release 17 and Release 18 feature sets.

OranSence architecture overview

RAN Stack Components

Every component ships as an independent, horizontally-scalable microservice.

O-CU-CP

Central Unit — Control Plane

Handles RRC and PDCP-C functions. Horizontally scalable across availability zones with active-active redundancy.

O-CU-UP

Central Unit — User Plane

High-throughput PDCP-U and SDAP processing. DPDK-accelerated data path with SR-IOV support for line-rate performance.

O-DU

Distributed Unit

Real-time L1/L2 processing with FlexRAN PHY library integration. Supports split 7.2x and split 8 fronthaul interfaces.

O-RU

Radio Unit Interface

Open fronthaul M-plane and C/U-plane management. Compatible with major O-RU vendors via eCPRI and IEEE 1914.3.

Near-RT RIC

Near-RT RAN Intelligent Controller

E2 interface with xApp lifecycle management. Sub-10ms control loop for dynamic spectrum and resource optimization.

SMO / Non-RT RIC

Service Management & Orchestration

O1/O2 interface support for end-to-end network slice management, policy enforcement, and AI/ML model deployment.

Platform Capabilities

AI-RAN Native Integration

Pre-integrated with OranSense AI inference layer for real-time beam prediction, interference classification, and autonomous resource scheduling.

GitOps-Ready Deployment

Full Helm chart library with ArgoCD and Flux support. Declarative configuration management with automated rollback and canary deployments.

Multi-Vendor Interoperability

Tested with 12+ O-RU vendors. Open fronthaul conformance validated at O-RAN Alliance PlugFest events across three continents.

Observability Stack

Native Prometheus metrics, Grafana dashboards, and OpenTelemetry traces. Per-UE KPI streaming to OranSense OranSense analytics platform.

Automated Spectrum Management

AI-driven dynamic spectrum sharing between 4G and 5G NR. Supports DSS, SUL, and SDL band configurations out of the box.

Zero-Trust Security

mTLS between all microservices, RBAC via Kubernetes native policies, and automated certificate rotation with cert-manager integration.

Deployment Models

OranSence supports three deployment topologies — choose based on your latency, cost, and operational requirements.

Centralized

Centralized Cloud RAN

All CU and DU functions co-located in a central data center. Ideal for dense urban deployments with fiber-rich fronthaul infrastructure.

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Distributed

Distributed Edge RAN

DU functions pushed to edge nodes for ultra-low latency. CU remains centralized. Optimized for industrial IoT and private 5G campuses.

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Hybrid

Hybrid Multi-Cloud

Flexible split across public cloud, private cloud, and on-premises edge. Unified control plane with per-site policy enforcement.

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Standards & Compliance

OranSence is validated against O-RAN Alliance specifications and 3GPP Release 17/18. Interfaces are tested at O-RAN Alliance PlugFest events for multi-vendor interoperability.

O-RAN Alliance WG4 / WG5
3GPP Rel-17 / Rel-18
ETSI NFV / MANO
CNCF Kubernetes Conformant

Ready to Deploy AI-Native Open RAN?

Talk to our RAN architects or download the OranSence technical datasheet to evaluate fit for your network.