Back to Blog

Addressing Complexities in 5G and Edge Computing

Sagar Nangare

August 06, 2021

Addressing Complexities in 5G and Edge Computing

Upcoming 5G networks are going to make significant changes in the lives of many people. 5G networks will provide a better digital experience to subscribers for many lucrative use cases. It will be a faster network than ever before. It is characterized due to its software-based core that improves delivery of services, massive network capacity, increased availability, enables end-to-end automation, reduces latency, and provides high bandwidth. Such features further enable several use cases that majorly impact the digital experience of network consumers. For example, 5G opens the possibility to support use cases like connected vehicles, remote surgery, industrial IoT, gaming and so on.

Obstacles in 5G

The impact of 5G will be experienced by individuals and digital infrastructures in various business sectors like transportation, industrial operations, healthcare, retails, etc. 5G will be delivered mainly by telecom operators as well as it can be deployed privately for enterprises. Though the 5G benefits are common across all the use cases, the delivery model will be different.

But 5G will bring complexity in core infrastructure that replaces many network functions with software (virtualized or containerized) based functions that will be hosted on Commercial Off-the-Shelf hardware units spanned across telecom networks. This is due to reasons like:

  • Involvement of different vendors for software and hardware resources,
  • Management of an increased number of devices and wider scale of network,
  • Variety of applications from the cloud to edge
  • Deployment and management of applications that containerized, VM based and implemented on top of bare metal in core cloud and edge infrastructures
  • Security issues due to more devices and distributed cloud infrastructure

Considering these complexities involved, telecom operators are looking to achieve the high-velocity service delivery, guaranteed SLAs along with the lowest latency for enabling use cases like video conferencing, remote surgery, autonomous cars, etc., maintaining the observability to keep infrastructure updated and secure; and keeping the cost low for operations and resource investments.

Key resolutions for 5G concerns

In a roadmap to realize the features of 5G telecom operators are looking to solve challenges as we have discussed. Traditionally, we look at telecom networks or enterprise WAN, infrastructure consists of legacy network components, RAN resources, radio network resources, and core network components from a limited set of vendors. But in the case of 5G edge-based networks, telecom operators are looking to completely have a greenfield network that leverages cloud-native stacks (containers, K8s, microservices, service meshes) along with agile delivery architecture with DevOps and CI/CD methodologies.

Such newly formed complex architecture that includes a diverse set of vendors & mesh of variety of services requires a unified platform that can

  • Manage legacy virtualized network functions along with modern containerized
  • Help orchestrate 5G applications to orchestrate and automate end-to-end using a single pane of glass
  • Enables management of distributed cloud environments that can include edge and public cloud instances
  • Provides comprehensive monitoring and security to applications and network workloads
  • Unifies OSS integration for all the elements of 5G and edge architecture

At the Coredge, we are building a revolutionary enterprise-grade platform to address the telco and hyperlocal cloud infrastructure requirements, driven by the new age of low latency applications like OTT, Self-driving cars, AR/VR, 4K Streaming, voice/video over IP and the fundamental use case for the 5G Edge Cloud. Our flagship products – CloudCompass and Guardian addresses the key challenges of 5G edge architecture.

To learn more, write to us at