AWS Partner Network (APN) Blog
Providing Standalone 5G Services with RADCOM Assurance on AWS
By Albeda Siddique – Telecom Senior OSS/BSS solutions Architect (AWS)
By Assaf Landau – VP Solutions (RADCOM)
By Martin Geler – Lead Solution Architect (RADCOM)
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Telecom operators are deploying 5G services on Amazon Web Services (AWS) Cloud to leverage enhanced data speeds and reduced latency. This transition to cloud infrastructure enables operators to accelerate their 5G rollout while improving network reliability and overall user experience.
RADCOM ACE addresses these deployment challenges through its cloud-native assurance solution, providing real-time subscriber and service analysis in a single pane of glass. The platform integrates with AWS using a container-based solution and employs artificial intelligence (AI) and machine learning (ML) to automate network analysis, allowing operators to gain insights into service quality and customer experience.
Through flexible deployment models, including Software as a Service (SaaS) on AWS, RADCOM offers automated service assurance with usage-based pricing structures. This approach enables operators to focus on core technical tasks while providing end-to-end visibility for both standalone (SA) and non-standalone (NSA) 5G networks, ultimately supporting efficient network evolution on AWS Cloud. In this blog, RADCOM shares how it can provide end-to-end analytics faster and at scale, while offering automated life cycle management to aid 5G network evolution on AWS Cloud.
Assurance requirements for advanced 5G networks
To address the challenges of 5G deployment while ensuring customer experience goals, telecom operators require automated service assurance to be forward-looking and that meets the following requirements:
- Utilizes AI/ML for automated network analysis and anomaly detection across different use cases.
- Includes rapid software development using a continuous integration and continuous delivery or deployment (CI/CD) pipeline, with automatic testing and verification cycles.
- Provides assurance lifecycle management (LCM).
- Integrates with cloud infrastructure to save resources and drive network automation with lean teams.
- Supports advanced 5G services requiring automation, operational agility, and real-time data.
- Delivers real-time subscriber analytics and troubleshooting capabilities.
RADCOM ACE, an automated assurance platform, addresses these requirements. It can scale to monitor service quality across nationwide deployments from Radio Access Network (RAN) to core and proactively work toward providing the best customer experience.
Built-in AI and ML Insights
RADCOM AIM is an additional solution that integrates with RADCOM ACE. It utilizes AI, ML, and heuristics to provide automated network analysis, saving resources and decreasing resolution time through automated anomaly detection and root cause analysis (RCA). The AI and ML capabilities allow operators to gain insights into network issues’ impact on customer experience and service quality, enabling automated monitoring and resolution using a closed-loop approach.
The heuristic modeling in RADCOM AIM enables automated anomaly detection, RCA, real-time streaming analytics, predictive analytics, and quality of experience analytics for encrypted data. These abilities help operators optimize service quality, automatically detect and resolve network issues, and prevent quality of service (QoS) degradations through predictive network and service analytics.
Automation Powered By AWS
RADCOM ACE achieves automation and agility through its CI/CD software pipeline and deployment methodologies. Figure 1 shows how users can use RADCOM ACE to push container images to Amazon Elastic Container Registry (Amazon ECR).
Figure 1: Delivering a new RADCOM ACE image for containers
All assurance functionality is orchestrated by AWS CodeDeploy, as shown in Figure 2, acting as a native function within their cloud-based network. This enables telecom operators to automatically manage the entire lifecycle of containerized assurance components
Figure 2 – AWS CodeDeploy automatically instantiates RADCOM ACE for containers
A Cloud-Native, Micro-services Based Architecture
Built using a microservices’ architecture, RADCOM ACE provides telecom operators with faster onboarding, scaling, and updating of the service assurance solution, including provisioning the underlying cloud infrastructure. The cloud-native design makes the assurance solution adaptable, flexible, and easily scalable to match network changes.
When a new network element or service is deployed, RADCOM ACE automatically detects it and can scale up by requesting additional computing resources or horizontally by instantiating additional RADCOM ACE pods, ensuring ongoing monitoring. This elasticity also enables RADCOM ACE to scale down computing resources and scale vertically to reduce assurance components and free up resources.
RADCOM’s automated assurance, deployed on AWS Cloud with a SaaS model, offers telecom operators faster implementation and rapid time to market. Network engineers and users can access network analytics promptly without new hardware installation, improving operational efficiency and supporting consistent customer satisfaction.
Multi-Access Edge Computing (MEC) Correlation
Due to the distributed nature of 5G cloud-native network functions and AWS Cloud flexibility, telecom operators can optimize the placement of 5G network functions for optimal performance based on latency, throughput, and processing requirements.
The patented technology in RADCOM ACE efficiently correlates the user network plane and control plane traffic at the edge. This correlated data allows telecom operators to quickly optimize edge performance and work out network architecture and functionality issues.
RADCOM ACE is a distributed cloud solution, storing data close to the edge and moving only a small percentage of monitored data into the solution backend (deployed in the core). This helps telecom operators maintain an efficient network and frees up cloud resources. Edge Data Centers can be deployed in AWS Local Zones.
RADCOM ACE Frontend (Capturing Device Function or CNF)
The Capturing Device Function (CDF) in RADCOM ACE is automated, dynamic, and fully cloud-native. It is responsible for traffic capturing and analysis. The CI/CD pipeline orchestrates the CDF functionality to automate assurance deployment and manage the entire lifecycle of containerized assurance components.
AWS CodeDeploy instantiates all components, configures networks, opens ports, and scales the RADCOM ACE frontend. If network traffic increases beyond system health thresholds, AWS CodeDeploy can automatically scale the CDF to cover the increased traffic by creating a new pod cluster or worker node on Amazon Elastic Kubernetes Service (Amazon EKS)
RADCOM ACE Backend: Processing, AI, and Applications
The RADCOM ACE backend comprises the following functions:
- Processing includes correlation, enrichment, KPIs, and AI-based anomaly detection.
- Operations and maintenance.
- Users’ applications for troubleshooting and service/customer experience insights.
- RADCOM AIM Automated Insights for automatic network anomaly detection.
Like the frontend components, the RADCOM ACE backend is orchestrated by AWS CodeDeploy. This allows telecom operators to perform proactive, real-time surveillance of network performance and service quality, automatically generate service impact and root-cause analysis of degradations and failures on an ongoing basis, and adjust as traffic and network conditions change.
Figure 3 architecture leverages Amazon EKS Auto Mode, Amazon VPC Traffic Mirroring, and Network Load Balancer for efficient traffic management. It enhances reliability through multi-AZ deployment and uses CI/CD for cost-effective operations. The solution adapts to network growth while continuously monitoring service quality.
Figure 3: RADCOM ACE Deployment Architecture on AWS
In addition, it enables telecom operators to make data-driven decisions and apply closed-loop automation that optimizes network and service quality through AWS orchestration.
Cloud-Based, Collaborative Applications
RADCOM ACE decouples the application layer from the underlying data, providing telecom operators with a flexible application suite that covers troubleshooting, service, and customer experience insights for all levels, from network engineering to executives. The applications’ dynamic nature allows quick adaptation to evolve needs as networks move forward.
As a suite of cloud-native applications, there is no need for client installation, and the RADCOM ACE GUI can run on Windows, UNIX, or Linux. It is responsive, supports multiple users, offers administrative control while adhering to security and user content privacy. User data for engineers, such as call traces, is stored in Amazon Simple Storage Service (Amazon S3), making it simple to access, share, and increase capacity. New user space and applications can be instantly deployed through AWS CodeDeploy.
Conclusion
In this blog post, RADCOM described how its cloud-based service assurance solution, RADCOM ACE, helps telecom operators boost data speeds and overall user experience with 5G. Beyond the benefits of a 5G network, utilizing AWS Cloud and automated operations improves network performance and reliability. To learn more, visit RADCOM ACE on AWS.
To learn more about how leading CSPs, from Mobile Virtual Network Operators (MVNOs) to Mobile Network Operators (MNOs), are harnessing the power of SaaS visit Legacy Disrupted: Telecom’s SaaS Awakening and download the e-book. For further information about AWS in telecom, please refer to the AWS for Telecom website.
RADCOM- AWS Partner Spotlight
RADCOM is an AWS Advanced Technology Partner and AWS Competency Partner that provides an advanced monitoring solution for cloud apps and modern infrastructure that aggregates metrics across distributed services to alert you on service-wide issues and trends in real-time.