Skip to main content

Why you need transport slicing in your 5G network

If you work for a communications service provider (CSP), your main focus now is probably on how to make 5G mobile deployment a reality. Preparing your network for 5G is a key consideration.

5G network transformation is happening across the industry fast in the race to 5G. But as CSPs sprint forward, many are starting to realize that the race is really going to be a marathon, with much preparation required in the end-to-end network.

With 5G RAN deployments well underway, planning the evolution of your future transport network is a key part of this marathon preparation.  

You’ve probably already started, with a 5G network evolution plan to deliver higher speeds and greater capacity (bandwidth) to your existing subscriber base. But what’s next? And how is all the discussion about 5G network slicing related?

You’ve probably heard about all the types of futurist use cases that 5G will bring for digital enterprises, Industry 4.0, smart city infrastructure and mobile subscribers; things such as:

  • Robots automating industries to make processes faster and more efficient
  • Unmanned aerial vehicles to improve surveillance and public safety
  • Self-driving cars, giving you more time to access 5G apps as you commute
  • Augmented reality, enhancing your life visually with easy access to communications, content and information
  • And more!

Our industry is striving to make all of this possible. But where do you start? How can you evolve your transport network to be prepared?  

5G requires transport network evolution

With 5G, the transport network will need to support massive loads of new traffic—and new requirements for real-time 5G services. SLAs in many cases will be non-negotiable, hard requirements, and network resources will need to dynamically adjust to meet demand. 

To meet these goals, the 3GPP has introduced new 5G service types to deliver:

  • Enhanced mobile broadband (eMBB)
  • Ultra-reliable, low-latency communications (URLLC)
  • Massive machine communications (MMC).

These new service types will enable new 5G use cases and offer the potential for CSPs to generate new streams of revenue. This is where 5G network slicing and transport slicing come into the picture.

Network slicing is key to delivering 5G SLAs...and more

5G network slicing is a fundamental technology that provides the capabilities needed to deliver 5G use cases. With 5G network slicing, you can meet unprecedented SLAs across the end-to-end transport network. 

The problem is that network slicing comes with additional management challenges that increase total cost of operations. The good news is that automating slicing will save the day! 

Network automation will help you to manage increased complexity and offset higher costs. Automation will also enable you to achieve the speed and efficiency needed to make network slicing economical. And it can deliver the operational continuity you need for 4G/5G hybrid deployments.

However, network automation is not a new concept, and you probably already have it to some extent in your network today to improve operational efficiency. So, why should you care about transport slicing? And why does your automation need to support it?

There are several advantages of using transport slicing in end-to-end 5G networks: improved SLA adherence, operational simplification, ease of integration and implementation flexibility.

To learn more about these benefits and how transport slicing fits into end-to-end 5G networks, read the Nokia white paper “Transport slicing in end-to-end 5G networks”.

Share your thoughts on this topic by joining the Twitter discussion with @nokianetworks or @nokia using #5G

Kevin Landry

About Kevin Landry

Kevin brings proven experience and subject matter expertise in network automation, SDN, NFV, NMS and OSS to his senior marketing management role at Nokia. In addition to his interests in software technology, Kevin enjoys futurism, the fantasy and sci-fi genre, and he’s a proud dad of two amazing children.

Tweet me at @kevinlandry24

Article tags