SPONSORED: The findings from Heavy Reading's 'Edge Computing in Telco Networks' report show that security, latency and the move to vRAN are key drivers for edge computing factors in the telco environment.

Jennifer Clark, Principal Analyst – Cloud Infrastructure & Edge Computing

November 9, 2020

4 Min Read
New report demonstrates the role of the edge in the data-driven network

Unlike its 2G, 3G and 4G predecessors, 5G was not focused on a specific radio technology or spectrum band(s), but rather, on creating a new user experience. By the end of 2018, the 3GPP declared that any network using 5G New Radio (5G NR) was, in fact, 5G. The NR technology, together with a set of spectrum bands and the use of millimeter wave technology, massive multiple input, multiple output (MIMO) and new beamforming technology, forms the foundation of 5G's technical portfolio. Lost in the sands of time, however, is that 5G was defined around the user experience – whether that demanded one or more of the following:

  • Enhanced mobile broadband (eMBB)

  • Ultra-reliable low latency communications (URLLC)

  • Massive machine-type communications (mMTC)

These three service attributes benefit from edge computing. URLLC and mMTC, however, demand it as latency requirements become more exacting and implementations scale. To gauge how carriers are planning and implementing edge computing, and in collaboration with Schneider Electric, F5 and Wind River, Heavy Reading asked over 90 global telco service providers about their plans for edge computing. In our report, "Edge Computing in Telco Networks: Gaining the Competitive Edge," Heavy Reading analyzes the choices these service providers are making with their implementation – and how these implementations are evolving.

Distributed virtual RAN poised to take off

One of the study's key findings, shown below, is that carrier use of disaggregated virtual RAN (vRAN) solutions is expected to triple in the next two years. This year, in fact, over half of respondents will have 10% or more of their 5G network running on a vRAN solution. Two years from now, over half will use vRAN solutions in 30% or more of their 5G network.

There are an estimated 70 million basestations in the world today. 5G is expected to increase this number by a factor of between 3 and 7. The move to vRAN and a software-driven architecture for 5G will both enable and simplify the move to edge computing.

Figure 1: What percentage of your NEW 5G edge network will run on a disaggregated vRAN solution vs. a vendor integrated basestation in 2020 and in 2022? n=91 Source: Heavy Reading n=91
Source: Heavy Reading

Low latency applications need to bring the cloud closer

Emerging artificial intelligence (AI), virtual reality (VR) and machine learning applications demand round-trip latency, which is difficult to achieve if the origin and destination points for the application are distant from each other. Thirteen percent of service provider respondents believe they will be satisfied by a sub-100ms response time. However, the majority, 87%, are pushing for sub-10ms, with 38% pushing for sub-1ms in the next two years.

Sub-10ms one-way latency will meet most needs. This is the design attribute most vendors are building into their solutions – for now. It is clear, however, that some low latency applications at the edge may have even more stringent requirements of sub-1ms on the local short-haul connection.

Figure 2: What level of one-way edge-to-core network latency will your edge cloud network need to support by 2022? n=89 Source: Heavy Reading n=89
Source: Heavy Reading

As the network expands, so does demand for security… and the ability to manage the expansion

Security – both data en route and security tied to end-user safety – topped out Heavy Reading's list of required intelligent edge features, with 89% and 81%, respectively, of "very important" or "important" responses. Low latency, the best publicized aspect of 5G, came in third with a great deal of support behind it as an "important" feature. Reliability, resiliency and remote management all elicited enthusiastic responses. Carriers cannot afford anything other than a high percentage of zero-touch, lights-out data centers if they are looking at an edge footprint that is 5x–10x that of their current 4G network.

Figure 3: How important are the following intelligent edge features on a 5G network today? n=91 Source: Heavy Reading n=91
Source: Heavy Reading

Read the full report for more telco edge insights

Heavy Reading's findings are a good indication that telco carriers are poised and ready for the business influx that edge computing will bring. For more in-depth details about the telco service providers' perspective on the burgeoning edge market, download and read the full "Edge Computing in Telco Networks" report now.

— Jennifer P. Clark, Principal Analyst, Cloud Infrastructure & Edge Computing, Heavy Reading

This blog is sponsored by Wind River.

About the Author(s)

Jennifer Clark

Principal Analyst – Cloud Infrastructure & Edge Computing

Jennifer Pigg Clark is Principal Analyst with Heavy Reading covering Cloud Infrastructure and Edge Computing. Clark provides actionable insight into service provider evolution, examining the challenges and opportunities facing network operators as they move towards 5G and IoT with an increasingly virtualized and cloud native infrastructure. Clark examines the solutions and technology reshaping the telco data center, technologies such as Edge Computing, Open Source, OpenStack, container networking, Network Orchestration, Software Defined Networks (SDN), Network Functions Virtualization (NFV), and SD-WAN. Clark started her industry research career with the Yankee Group, which was acquired by 451 Research in 2013. She held the role of Sr. Vice President at Yankee Group. Prior to joining Yankee Group, Clark was Manager of Network Planning and Strategy for Wang Laboratories'corporate data network. She began her career at Wang with responsibility for the domestic and international roll-out of Wang's packet network, connecting more than 250 locations in 14 countries. Before joining Wang, she was a member of the IT research and development division of Commercial Union Insurance Companies. Clark is a highly regarded speaker at industry seminars and conferences and is frequently cited by the commercial and trade press. She has been a guest lecturer at the MIT Sloan School of Management and is a member of the IEEE. She holds a B.A. degree from Mount Holyoke College.

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