Nokia and NTT DOCOMO’s SMO Interop: A Blueprint for Autonomous Multi-Vendor RAN

Executive Summary

The telecom industry is at a critical inflection point. As AI traffic explodes, traditional radio network management and optimization solutions are hitting their limits. The industry’s response? A shift toward Service Management and Orchestration (SMO) frameworks that leverage AI and automation to manage increasingly complex, multi-vendor networks. This week, Nokia and NTT DOCOMO announced a significant step forward: their respective SMO platforms—Nokia’s SMO framework and NTT DOCOMO’s OREX SMO—will interoperate, both being Open RAN-compliant. This collaboration is not just a technical milestone; it’s a strategic blueprint for operators worldwide looking to navigate the transition to AI-native, autonomous networks.

The Problem: AI Traffic Strains Legacy RAN Management

AI is not just an application running over networks; it’s fundamentally reshaping traffic patterns. With the rise of generative AI, machine learning inference at the edge, and autonomous systems, data flows are becoming more dynamic, unpredictable, and latency-sensitive. Traditional RAN management and optimization (M&O) solutions, often monolithic and vendor-specific, are struggling to keep pace. They lack the flexibility to adapt to real-time changes, the scalability to handle massive data volumes, and the intelligence to optimize across multiple technology generations.

Nokia Bell Labs, in a recent social media post, highlighted this exact challenge: “AI traffic is quickly pushing traditional radio network management and optimization solutions to their limits…” This sets the stage for why SMO frameworks—designed to be cloud-native, AI-driven, and open—are becoming essential.

What is SMO and Why Does Interoperability Matter?

Service Management and Orchestration (SMO) is a key concept in Open RAN architectures. It provides a standardized framework for managing and orchestrating RAN functions, including AI/ML workflows, automation, and optimization. The O-RAN Alliance defines SMO as the layer that enables network slicing, intelligent orchestration, and closed-loop automation. An SMO platform collects data from various RAN components, applies analytics and AI, and executes actions to optimize performance, energy efficiency, and user experience.

For SMO to be effective in a multi-vendor environment, interoperability is critical. Operators don’t want to be locked into a single vendor’s SMO. They need the flexibility to mix and match RAN components from different suppliers while having a unified management layer. This is where Nokia and NTT DOCOMO’s collaboration comes in.

The Nokia-NTT DOCOMO Collaboration: What We Know

Nokia and NTT DOCOMO have announced that their SMO platforms will work together. Specifically, NTT DOCOMO’s OREX SMO platform and Nokia’s SMO framework, both Open RAN-compliant, will interoperate to manage and optimize the RAN across multiple radio technology generations (5G, 4G, and future 6G) and multi-vendor environments.

This means that operators using NTT DOCOMO’s OREX SMO will be able to manage Nokia RAN equipment seamlessly, and vice versa. The combined solution leverages AI and automation to deliver autonomous network operations, reducing manual intervention and improving network performance.

Key details from the announcement:

• OREX SMO: NTT DOCOMO’s SMO platform, part of its OREX (Open RAN Ecosystem) initiative, is designed to accelerate Open RAN adoption. It provides a vendor-agnostic management layer that can control RAN elements from multiple suppliers.
• Nokia’s SMO Framework: Nokia’s SMO is a cloud-native, AI-powered platform that supports network automation and optimization. It is built to be open and interoperable, aligning with O-RAN standards.
• AI and Automation: Both platforms leverage AI for predictive maintenance, traffic management, and energy optimization. The collaboration aims to combine their strengths to deliver a more comprehensive solution.

Why This Matters for Operators

This collaboration is a significant signal for the industry. Here’s why:

1. Validates Open RAN’s Multi-Vendor Promise

One of the core promises of Open RAN is the ability to mix and match components from different vendors. However, that promise has been slow to materialize in practice, especially at the management and orchestration layer. The Nokia-NTT DOCOMO interop proves that SMO platforms can be truly interoperable, giving operators confidence that they won’t be locked into a single vendor for their automation stack.

2. Accelerates the Path to Autonomous Networks

Autonomous networks are the endgame for many operators. The ability to have AI-driven, closed-loop automation that can self-configure, self-optimize, and self-heal is a major step toward reducing operational costs and improving service quality. By combining their SMO platforms, Nokia and NTT DOCOMO are demonstrating that such autonomy is achievable in a multi-vendor environment.

3. Sets a Precedent for Other Vendors

This collaboration sets a precedent for other vendors to follow. If Nokia and NTT DOCOMO—two major players—can make their SMO platforms interoperable, it puts pressure on others to do the same. This could lead to a more open and competitive ecosystem, benefiting operators.

4. Supports Network Evolution to 5G-Advanced and 6G

As networks evolve to 5G-Advanced and eventually 6G, the complexity will increase exponentially. SMO frameworks that can manage multiple generations and technologies will be essential. This collaboration positions both companies to lead in the future network evolution.

The Broader Context: AI-RAN and SMO

The news comes amid a flurry of AI-RAN activity. Operators and vendors are racing to integrate AI into the RAN, both for network optimization and for enabling new AI services at the edge. SMO is the key enabler for AI-RAN because it provides the platform for AI/ML workflows and closed-loop automation.

Nokia has been at the forefront of AI-RAN, launching its commercial AI-RAN platform earlier this year. NTT DOCOMO has also been active, with its OREX initiative and collaborations with other vendors. This SMO interop is a natural extension of their AI-RAN strategies.

What This Means for Open RAN Operators: Action Items

For operators evaluating their RAN strategies, this development offers several takeaways:

1. Prioritize SMO Interoperability in RFPs

When issuing requests for proposals (RFPs) for RAN equipment and management solutions, operators should explicitly require SMO interoperability. They should ask vendors to demonstrate that their SMO platforms can work with other vendors’ SMO platforms and RAN components. This will prevent lock-in and ensure future flexibility.

2. Evaluate AI-Driven Automation Capabilities

Not all SMO platforms are created equal. Operators should evaluate the AI capabilities of potential SMO solutions, including their ability to support predictive maintenance, energy optimization, and traffic management. The Nokia-NTT DOCOMO collaboration showcases the value of combining AI expertise from both a vendor and an operator perspective.

3. Consider the Total Cost of Ownership

Autonomous networks can significantly reduce operational costs, but the initial investment in SMO platforms and AI tools can be substantial. Operators should model the total cost of ownership, including the cost of integration, training, and ongoing optimization. The potential savings from reduced manual intervention and improved efficiency should be factored in.

4. Start Small, but Start Now

Operators don’t need to deploy a full autonomous network overnight. They can start with specific use cases, such as energy optimization or predictive maintenance, and gradually expand. The Nokia-NTT DOCOMO interop provides a blueprint for how such a phased approach can work in a multi-vendor environment.

The Road Ahead: Challenges and Opportunities

While this collaboration is a positive step, there are still challenges to overcome:

• Standardization Gaps: While both platforms are O-RAN compliant, there are still areas where standards are not fully defined, such as the exact interfaces for AI/ML workflows. The industry needs to continue developing and refining O-RAN standards to ensure seamless interoperability.
• Data Sharing and Security: For SMO platforms to work together, they need to share data. This raises concerns about data privacy, security, and competitive advantage. Operators and vendors must establish clear data governance frameworks.
• Integration Complexity: Integrating two SMO platforms is not trivial. It requires significant engineering effort and testing. The Nokia-NTT DOCOMO collaboration will likely take time to fully realize, and operators should be prepared for integration challenges.

Despite these challenges, the opportunity is immense. Autonomous, AI-driven networks are not just a futuristic vision; they are becoming a reality. The Nokia-NTT DOCOMO SMO interop is a concrete example of how the industry is moving forward.

Conclusion: A Blueprint for the Future

Nokia and NTT DOCOMO’s SMO interoperability is more than just a technical announcement. It’s a strategic signal that Open RAN is maturing and that autonomous networks are within reach. For operators, this is a call to action: embrace SMO interoperability, invest in AI-driven automation, and prepare for the future of network management.

The collaboration between Nokia and NTT DOCOMO provides a blueprint for how operators can build autonomous, multi-vendor RANs. It validates the Open RAN vision and offers a practical path forward. As the industry continues to evolve, those who act now will be best positioned to reap the benefits of AI-native, self-optimizing networks.

Sources

• Nokia Bell Labs Facebook Post
• Nokia Bell Labs Instagram Post