Prominent role of Orchestration for a virtualized converged network

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Today the way we are looking at telecommunication networks are quite different from the way we have seen in past decades. Networks are evolving, becoming dynamic entities and more open every day. As these network transformations occur on a global scale, network operators need an integrated Orchestrator to gain greater control, cost efficiencies, visibility, automate key network functions, and deliver top-notch customer services and experiences.

Business drivers for E2E Orchestrator:

The emergence of new use cases- eMBB, AR/VR, rise in the IoT enabled use cases such as Industry 4.0 applications, V2X, M2M, Online gaming, online content streaming has made operators to rethink their network architecture strategy. The new architecture requires storage, computation and analytics closer to the edge of the network to deliver these use cases and provide premium quality of experience (QoE) to the end consumer.

Additionally, a new network with a mix of 4G and 5G radio access and virtual & disaggregated deployment of CU-DU and core is expected to deliver significantly exceptional operational performance (e.g. dynamic spectrum sharing, load balancing, wide area optimization, etc.) as well as superior user experience (with KPI’s near to fixed network offering full mobility and coverage).

Figure 1: The drivers for E2E orchestrator

Emerging need for a converged network architecture:

The new converged network architecture with a focus on E2E orchestration can bring processing capabilities closer to the user edge still keeping end to end control at the central layer can provide a better user experience. It refers to computing at the edge, centralized service design and policy management and AI/ML-based analytics & close loop automation can benefit the overall network ecosystem. 

This new approach of networking is poised to benefit the operator in some or the other way as listed below.

  • Provide better QoE for rising mobile data traffic-mostly due to live video streaming
  • Control and manage the end-user SLA’s regardless of changing network conditions  
  • Zero-touch provisioning for rising mobile and fixed broadband connections to realize a better time to market the services
  • Delivery of new use cases such as Network as a service (NaaS), Network Slicing, etc
  • Reduce CAPEX and operational expenditure by providing multi-domain and E2E life cycle management
  • Policy design and management for execution at the edge for achieving better SLA’s
  • Real-time assurance which visualizes, automates and optimizes the service and network quality across hybrid networks with closed-loop automation and analytics-driven by AI-ML.
  • Manage and orchestrate the hybrid cloud infrastructure

STL’s Orchestration platform for a converged network:

STL’s orchestrator platform is envisaged as an application management system that provides building blocks that include micro-services architecture, model-driven templates, and multi-domain design scope.

As shown below, STL’s cloud-native architecture consists of Orchestrator at the centralized location for service orchestration, cloud infrastructure and service assurance management coupled with Edge Orchestrator, Open and disaggregated CU-DU architecture and RAN Intelligent controller (RIC) allows greater flexibility in delivering the quality of experience (QoE) for B2C and B2B customers.

Figure 2: E2E Orchestration

The micro-services based architecture of orchestrator is comprised of smaller, independent services that communicate with each other using language-agnostic Representational State Transfer Application Program Interfaces (REST APIs). Each micro-service performs a specific task, thus facilitating a modular approach to system building. The platform developed with kubernetes as the docker container orchestration provide autonomous, distributed application micro-services. These containers allow us to scale and deploy easily across the network, as well as control them with standard or custom configurations.

STL orchestrator at the central layer with network slicing, multi-domain life cycle management, cloud infrastructure management and close loop automation capabilities helps the service providers to addresses their challenges for zero-touch automation, centralized network management, and multi-layer discovery and visualization across multiple domains. STL Orchestrator open to integrate multi-vendor with open-APIs simplifies O&M by automatically optimizing network-wide service resources and policies based on multi-layer traffic information. 

For more information on STL’s 5G products and solutions please contact

Mr. Rajesh Mhatre –Product Manager-Wireless networks and Orchestrator

To be followed by….. “The key elements of 5G orchestration system”

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