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Opensource autonomous service assurance for private enterprise networks

Manish Mangal, CTO - Telecom Business & Global Business Head, Network Services at Tech Mahindra discusses how private networks are transforming enterprise connectivity and the importance of focusing on service assurance aligned with the principles of autonomous networks.

Manish MangalManish Mangal, Tech Mahindra
20 Jan 2025
Opensource autonomous service assurance for private enterprise networks

Opensource autonomous service assurance for private enterprise networks

Enterprises today face the challenge of managing increasingly complex digital environments where high performance, security, and customization are critical. Private networks, defined by 3GPP standards, offer a transformative solution by providing dedicated, secure, and customizable connectivity. These networks leverage LTE, 5G, and satellite technologies to address specific needs such as ultra-low latency, high-speed data transmission, and enhanced security. Their tailored approach ensures that enterprises can drive operational efficiency, foster innovation, and maintain a competitive edge across industries.

The growth prospects for private networks are substantial. Global spending on private LTE and 5G networks is expected to grow at a 20% compound annual growth rate (CAGR), reaching over $6 billion by 2027, with nearly 60% directed toward standalone 5G deployments. This surge in investment is driven by the need for secure, reliable, and flexible connectivity to support Industry 4.0 applications, automation, and digital transformation initiatives. As private networks evolve alongside public networks, their adoption will become a critical enabler of enterprise success, fueling innovation and productivity across diverse sectors.

Private networks offer several key advantages compared to public networks. A significant benefit is the greater control they provide over data and network resources, enhancing security and privacy. This is especially crucial for organizations handling sensitive information or managing critical infrastructure. Customization is another critical advantage. Private networks can be tailored to meet the unique requirements of individual enterprises, supporting the seamless integration of advanced technologies like artificial intelligence (AI), machine learning (ML), and edge computing. These capabilities facilitate automation, predictive maintenance, and real-time data analytics, driving productivity and efficiency improvements well beyond what traditional public networks can offer.

Initially focused on Industry 4.0, private networks have expanded to address broader needs in sectors like healthcare, public safety, retail, and smart cities. Their ability to provide reliable, secure, and high-performance connectivity makes them invaluable for mission-critical and innovative applications in diverse environments. For example:

  • University and corporate campuses use private networks to enable smart classrooms, virtual labs, and IoT-based energy management, enhancing collaboration and operational efficiency.
  • Healthcare providers rely on private networks for secure telemedicine services, real-time patient monitoring, and remote diagnostics, ensuring compliance with regulations like HIPAA.
  • Smart cities deploy private networks for traffic management, public safety, and utility monitoring, improving sustainability and operational efficiency.
  • Retail and hospitality sectors benefit from private networks by powering digital experiences such as augmented reality (AR) shopping, personalized services, and smart check-ins, enhancing customer engagement and operational performance.
  • Public safety agencies leverage private networks for secure communication, asset tracking, and operational control, ensuring safety and efficiency in critical scenarios.

One defining characteristic of private networks is their smaller size compared to public telecom networks. While they serve fewer users and cover a more limited geographical area, their complexity is significantly higher. Private networks are often deployed for mission-critical use cases where reliability, security, and performance are non-negotiable. For instance:

● Manufacturing industries depend on private networks for real-time communication between machines, where delays can disrupt operations.

● Healthcare facilities connect medical devices through private networks to ensure timely data transfer, which can be life-saving in critical care scenarios.

● Logistics companies rely on private networks for tracking and managing supply chains, ensuring smooth operations across global networks.

Private networks often operate under resource constraints, unlike large public telecom operators with extensive infrastructure and capital. This makes automation and efficiency critical. Automating tasks such as resource allocation, fault detection, and performance optimization allows enterprises to maximize their limited resources while ensuring high-quality service delivery. Automation also reduces reliance on specialized telecom expertise, enabling non-technical staff to manage network operations, lowering operational costs and accelerating the deployment of new services and applications.

At the heart of autonomous private networks lies intent-driven automation, Self-organizing networks (SON) and the Zero X framework. Intent-driven automation shifts the focus from manual configurations to high-level business outcomes. Network administrators define desired states—such as low latency, high reliability, or optimized resource usage—and the network autonomously adjusts to meet these goals. This dynamic adaptation ensures continuous optimization across various applications and services. Self-organizing networks (SON) enhance this by dynamically managing resources, adjusting spectrum, coverage, and capacity in real time to ensure efficiency and resilience. The Zero X framework further streamlines operations, automating provisioning, minimizing latency for critical applications, and leveraging AI for proactive issue resolution and reliability

As enterprises strive to create, deploy, and manage autonomous private networks, the role of open-source platforms has become increasingly vital. Intelligent Network Platforms, powered by open-source innovation, enable intent-driven automation through robust frameworks for automating the configuration, deployment, and management of network infrastructure. These platforms streamline complex tasks, minimize human error, and ensure consistency across deployments, empowering enterprises—especially those lacking deep telecom expertise—to manage their networks with greater efficiency. Also, the critical nature of applications on private networks demands meticulous design, to facilitate the orchestration of composable applications and complex workflows tailored to address unique business requirements.

Mature, open-source, intelligent network platforms serve as the backbone for this agile, secure, and scalable orchestration, ensuring enterprises can innovate and operate with confidence in a complex landscape. According to Honoré LaBourdette, Vice President of the Global Telecommunications Ecosystem Team at Red Hat: “Advanced automation platforms enable organizations looking to create dynamic, intent-driven networks with modular, reusable components and adaptable workflows that enable interoperability, streamline operations, reduce errors, and dynamically respond to shifting demands”.

This approach empowers organizations to optimize performance, foster innovation, and build scalable network infrastructures that drive resilience and agility in the face of ever-evolving business challenges through:

  • Dynamic Orchestration using declarative APIs and intent-driven network functions for the deployment and management of containerized applications across hybrid and multi-cloud environments, over their lifecycle.
  • Network automation to configure, provision, and maintain complex infrastructures, by allowing users to define the desired network state and leveraging playbooks to achieve it
  • Policy-Driven Network Management to enforce network security, compliance, and operational policies across distributed clusters using a centralized framework to manage intent-based configurations.
  • Event-Driven Automation enabled self-healing networks that can dynamically adjust to demand fluctuations or failures.
  • AI-Enhanced Operations use predictive analytics and recommendations to ensure the network remains aligned with its intended performance goals.
  • Support for 5G and Edge deployments and other intent-driven architectures where network slicing, resource allocation, and workload placement are managed dynamically to meet business-critical demands.

Private networks are transforming enterprise connectivity by offering secure, customizable, and high-performance solutions tailored to modern business needs. Their integration with advanced Industry 4.0 technologies and support for mission-critical applications make them indispensable across industries. As private networks evolve and adopt autonomous systems and neutral host models, they will continue to drive innovation, operational efficiency, and digital transformation, positioning enterprises for long-term success in an increasingly connected world. Ensuring the viability of private networks across diverse use cases and scenarios will require a special focus on service assurance aligned with the principles of autonomous networks. This will ensure reliability, scalability, and seamless orchestration, which are critical for fulfilling enterprise demands in dynamic and complex operational environments.