Gabriel Brown, Light Reading

Service Management and Orchestration Unlocking the True Potential of Open RAN

Industry Voices 5G
Gabriel Brown Headshot
Side-by-side photographs of Gabriel Brown, host of Light Reading, and guest Constantine Polychronopoulos, VP 5G and Cloud Networking, Juniper Networks, as they discuss service management and orchestration unlocking the true potential of Open RAN.   Host Name – Gabriel Brown, Light Reading

Interview: What’s happening with Open RAN, SMO, and RIC

As Juniper goes all in on its efforts to bring openness and innovation to a traditionally closed-off part of the network, join this discussion with Juniper’s Constantine Polychronopoulos to learn about the key considerations and success factors for Open RAN Service Management and Orchestration (SMO) and RAN Intelligent Controller (RIC) implementation.

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You’ll learn

  • Why Juniper is active in Open RAN 

  • What Juniper is expecting RIC will deliver for operators

  • How the RIC will allow operators to offer network slicing

Who is this for?

Network Professionals Business Leaders


Gabriel Brown Headshot
Gabriel Brown
Light Reading

Guest speakers

Constantine Polychronopoulos Headshot
Constantine Polychronopoulos
VP 5G and Cloud Networking, Juniper Networks



00:06 so we're here to talk about openran

00:07 this is a big topic with lots of

00:09 potential i'm here with uh constantine

00:10 from juniper networks

00:12 constantine great to see you why is

00:14 juniper

00:15 active in openran hi gabriele good to

00:17 see you too

00:18 um that's a good question well juniper

00:21 has been a leader in high performance

00:23 performance networking uh focusing on

00:26 delivering sla

00:27 in very complex networking environments

00:30 now in the world of 5g

00:31 now we have a new opportunity to really

00:33 stretch the sla

00:34 and the slos across the infrastructure

00:37 in a

00:38 immense infrastructure highly

00:40 distributed infrastructure

00:41 all the way through the airwaves to the

00:43 devices right

00:44 whether these are iot devices or

00:47 smartphones

00:48 smart cars whatever and oren

00:51 gives us that opportunity because with

00:54 the disaggregation the software driven

00:57 radio think of the radio intelligent

01:00 controller

01:01 as the operating system of the of the

01:03 run

01:05 this is a green field opportunity i

01:08 believe that

01:09 with the moves that juniper did with

01:11 acquisition of natsia perhaps the most

01:14 innovative solution of the radio

01:16 intelligent control in the market today

01:19 we are now in a strong position to

01:21 really bring

01:22 the innovations that juniper is known

01:25 for

01:26 across uh through the radio as i said

01:30 uh and deliver uh strong slash to 5g

01:33 devices

01:35 yeah i think that's a great point about

01:37 bringing across you know expertise and

01:39 knowledge from from

01:40 other domains where there's really been

01:41 a focus on performance and sla and

01:44 programmability determinism everything

01:46 like that

01:47 so this um this rick this ran

01:49 intelligent controller product

01:51 um that's a kind of key part of the oran

01:54 architecture what are you kind of

01:55 expecting that to

01:56 to deliver for for operators right

02:00 um i like to call the radio intelligent

02:03 controllers the operating system of the

02:05 new

02:05 radio disaggregated radio architecture

02:08 right and if we

02:09 think about it as such which i believe

02:12 it is

02:13 then we can start thinking about the

02:15 applications we can run

02:17 on the rig right essentially

02:22 oren specifies apis on the du side that

02:26 allows us to hook into the low level uh

02:30 mac layer scheduler and be able to

02:33 modulate

02:33 how resources over the spec over the air

02:36 are allocated to competing flows

02:39 competing users competing slices

02:42 and therefore using intelligence

02:45 real-time intelligence about

02:47 how users behave how the radio addresses

02:51 demand we can modulate resource

02:55 allocation

02:56 and deliver strong sla right so

02:59 juniper is known for its transport

03:01 networks actually

03:03 it foresaw the need to address some of

03:06 the use cases of 5g in particular

03:08 network slicing

03:10 and today juniper supports network

03:12 slicing across all of its transport

03:14 products right

03:15 so this was a natural evolution for us

03:17 to move into

03:18 a green field opportunity on the radio

03:21 and provide applications

03:22 that address everything from the

03:24 well-known zone

03:26 type of optimizations to

03:29 new capabilities in the radio that have

03:31 to do with

03:32 very fine grain smart admission control

03:37 network slice sla assurance

03:41 strong visibility you know that

03:45 allows us to hook mlai type of

03:48 applications

03:49 and provide opportunities not just to do

03:52 extreme optimization from the device

03:54 perspective from the network perspective

03:56 but also to open up opportunities for

03:59 our customers our operator customers

04:01 to monetize you know the the you know

04:04 investment they have in the radios by

04:06 offering new applications like spectrum

04:08 series

04:09 massive mime optimization and on and on

04:12 and juniper innovates and

04:16 leads in that space not just by uh

04:19 being you know the first in the in the

04:22 world of

04:23 radio access optimization through the

04:26 rig

04:26 but also in terms of some of the

04:29 applications that we're bringing to the

04:30 market

04:32 okay and these these applications these

04:34 x apps and our apps

04:35 that run on the ric platform are these

04:38 being

04:39 internally developed by juniper or you

04:41 look into partners or

04:43 you know different different put it this

04:46 way independent software vendors to come

04:48 and fulfill some of that

04:49 absolutely the success of warren depends

04:51 on

04:52 enabling operators to select the best of

04:56 breed

04:57 right so uh to that end

05:00 we have to support any type of x up or

05:03 our app

05:04 no matter where it comes from so x up

05:06 and r portability is absolutely

05:08 strategic to the success

05:10 of warren and we definitely support that

05:12 through our sdk

05:15 but we're also developing our own x apps

05:18 as well

05:20 which i think bring a significant

05:22 differentiation in the overall solution

05:24 we

05:24 uh you know we bring to the market no

05:28 yeah okay i wanted to move on to you

05:30 mentioned network slicing that's

05:32 obviously like a

05:33 key capability in 5g particularly we

05:35 think about enterprise services

05:38 um just uh to talk through a little bit

05:41 how

05:41 how the ric will help

05:45 kind of enable operators to offer

05:46 network slicing and over-the-air

05:48 uh kind of service guarantees and things

05:50 like that

05:52 right i like to use

05:55 an analogy that may sound a little

05:57 preposterous

05:58 when it comes to network slicing right

06:00 what is network slicing

06:02 it can be anything from the familiar

06:06 service training on one end of the

06:09 spectrum

06:10 to uh what i call an mvno

06:14 on top of a you know highly distributed

06:17 you know tier one operator including

06:19 public cloud so

06:21 my goal and our goal at juniper is to be

06:24 able to

06:25 programmatically declaratively bring up

06:27 an mvno

06:29 planet scale in a matter of a few hours

06:32 not months and years that's a slice

06:35 that's the other end of the spectrum

06:37 so slice covers pretty much anything

06:41 that you can think of right tenancy so

06:44 you need to have

06:45 separate uh you know different tenants

06:48 uh

06:49 you know with a strong sla per tenant in

06:51 terms of dimensioning

06:53 how many users each tenant what type of

06:56 connection

06:57 is that going to be an emv or a massive

07:01 machine to machine communication type of

07:05 slice or the familiar

07:08 ultra low latency high reliability

07:12 type of slice and everything in between

07:14 those uh

07:15 3gpp defined use cases right so a slice

07:19 can be anything and we need to address

07:20 segmentation

07:21 security and above all sla

07:25 and having the ability to do so in an

07:27 end-to-end

07:29 fashion uh is you know

07:32 uh makes the rick an absolutely

07:35 necessary component to be able to

07:36 stretch the sla to

07:38 deliver the sla over the spectrum um

07:41 so we're taking a very you know broad

07:44 view of

07:45 network slicing and as you're i'm sure

07:48 you know

07:49 uh network slicing has been deemed to be

07:51 the perhaps

07:52 the most important use case in 5g

07:57 and several analysts have attributed or

07:59 have attached

08:00 you know hundreds of billions of dollars

08:03 of monetization

08:05 that will come through the benefit of

08:07 network slicing networks

08:09 for the operators in particular

08:12 yeah yeah i mean um the we

08:15 saw a great example recently actually we

08:17 had a we had an event on openran and one

08:19 of the keynote speakers was from a

08:21 japanese operator

08:22 kddi and they showed a a proof of

08:25 concept they've been running with ram

08:27 slicing using uh

08:28 using a rick and i had a camera on um

08:32 on the front of a train running through

08:33 this really deep kind of urban canyon in

08:35 in tokyo with gantries and metal and

08:38 different moving trains on the one hand

08:40 they showed performance

08:42 you know just on best effort and it was

08:44 up and down every time you went past a

08:45 train came by the

08:47 the performance was dropping and

08:49 bursting all over the place

08:51 they ran the same line the same camera

08:53 on the same train with a with a rick

08:54 enabled

08:55 application and it was just a solid 30

08:57 megabits per second downlink you know

08:59 barely any variation just a proof of

09:02 concept but but a really interesting one

09:04 you

09:04 think what that could mean in in future

09:08 so in the o-ram we have this uh service

09:10 management and orchestration layer

09:12 um i guess what i'm interested in is how

09:14 when you talk about these slas and

09:16 and kind of supporting them end-to-end

09:19 how does the smo

09:20 tying with the wider network

09:22 orchestration picture

09:24 the smo is critical in being able to

09:27 realize to provision

09:28 a slice across across the three semantic

09:31 domains which is the radio the transport

09:33 and the core

09:34 and we have multiple incarnations of the

09:36 transport for example we have the

09:38 you know mid hall front hall backhoe

09:41 we can have multiple instances of the

09:43 core um

09:44 and of course the radio you know can be

09:47 realized

09:48 through the edge cloud a lot of the

09:49 radio components and we count there

09:52 probably in the

09:52 thousands maybe for tier one tens of

09:55 thousands of clouds you know it's clouds

09:57 that uh

09:58 host the duc etc so how do you bring

10:02 the benefit of network slicing across

10:04 such an immense infrastructure

10:06 and uh bring the locality aspect of it

10:09 because you may want to have a slice

10:11 that is local to a particular region or

10:13 it can be across the entire

10:14 infrastructure

10:16 you need to deliver the sla that ties

10:19 how the rick works with a transport to

10:22 ensure that

10:23 you know sla the latency and the

10:25 throughput are delivered across the

10:27 infrastructure

10:28 you need to be able to provision again

10:31 the core network functions to cope with

10:33 the traffic and the dimensionality of

10:35 the

10:36 of the slice so all of that comes

10:38 together

10:39 under the smo uh which is a fairly

10:42 complex problem

10:43 right and you know activity yeah across

10:47 yeah yeah fantastic i look forward to

10:48 seeing how this how this all evolves as

10:50 you know

10:50 as as juniper and your operator

10:53 customers and whole industry works

10:54 through

10:55 uh some of the challenges and puts this

10:57 to work um constantine with juniper

10:59 networks thanks very much

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