5G Future X Network

and the Next Industrial Revolution

Peter Vetter

Nokia Bell Labs

Future X Network

The vision:

Building the digital fabric for

the automation of everything

and the creation of time

From vision to a strategy: enable the next technological revolution

Ways to save/create time

1) Change Time: Use differences in gravity

and velocity

2) Change Lifetime: Discover “Fountain of

Youth” or bioengineered equivalent

3) Change Usage of Time: This talk

We have continuously created tools to augment our physical abilities…and save time

Thinking time….

X 100 X 1000X 500 X 5000

𝑠−1 t

We have created tools to increase discovery to save time (and waste time?)

Thinking time….

X 10 - X 1000 ?

D t

Need to interface digital & physical realms…to decrease distance and waste, and create

time

Thinking time….

Perspective

Technological Revolution =

Interconnection and interdependence

of new systems and technologies

+

The capacity to profoundly transform

the economy and eventually society

The revolution

Tech. Revolution Enabling Technology Connectivity

Financial (1600 − 1740) Stocks & BondsBanking & Stock Market

Infrastructure

1st Industrial (1780 − 1840) Steam Engine & Iron Production Rail and Shipping Networks

2nd Industrial (1880 − 1920) Steel & ChemicalsExtended Transportation Networks

Electricity & Telecom Networks

Scientific-Technical (1940 −

1970)

Analog & Digital Signal

processingDigital Communications Networks

Information (1985 − 2015) The Web, Cloud computing Internet & Broadband Access

Automation of Everything (2015

−)Digital interfaces & Data analysis Future X Network

We are

here

Current economics…

1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000 2014 2016

0.0%

1.0%

2.0%

3.0%

4.0%

pp

Pro

du

ctivity G

row

th

Future economics: The industrial opportunity

Share

of GDP

% of Private

Workforce

Share of

Private-Sector

IT Investment

Annual

Productivity

Growth

(15yr avg)

Digital

Industries30% 25% 70% 2.7%

Source: The coming productivity boom, Michael Mandel, Brett Swanson, The Technology CEO Council

Technology, Content,

Finance & Insurance,

Professional & Technical

Services

Manufacturing,

Construction, Mining,

Utilities, Healthcare, Hotels,

Food, Transportation,

Wholesale and retail trade

Physical

Industries70% 75% 30% 0.7%

134

56

61

68

41

79

39

31

194

479556

234322

200 207

The quest for new economic value

Cloud Services have strong growth

but limited value captured by CSPs

New DSP markets offer significant

revenue expansion

2015

1,000

556

234

207

2019

997

479

322

200

Data

Voice

TV

Traditional CSP service revenues

in mature markets* are flat

* Western Europe, Canada, USA,

Japan, South Korea, Singapore,

Australia, and NZ

Source: Gartner

359

2015

Cloud

Advertising

2019

VOD/streaming

Cloud Infra aaS

SaaS

BPaaS

Health 1590

Factories

Worksites

Cities

Logistics

& Transport

1660

850

1210

930

930

560

170

3700

Estimated 2025 value creation potential of the IoT

- McKinsey Global Institute

Low Estimate High Estimate

Source: Gartner

BPaaS = Business Processes as a Service

($B) ($B) ($B)

19

25

160

The Physical Limits: Our Current/Future Reality

mMIMOMid & High Band

FTTx

Edge Cloud

1000

100

10

0.1 1 10 100 RTT (ms)

Dis

tan

ce

(km

)

10000Speed

(of Light)

ToT

Capacity

Spatial

Reuse

More

Spectrum

Spectral

Efficiency

Latency & bandwidth value map

Edge CloudCore Cloud

1ms10ms100ms1s10s 100us 10us

1kbps

10kbps

100kbps

1Mbps

10Mbps

100Mbps

1Gbps

10GbpsCloud RAN

360° video (hi-res)

Electric grid control

Cloud-assisted driving

Autonomous vehicles

Comms & Chatbots

4k Video streaming

Sensors

Home Sensors

Haptic VR

Remotetraining

360° video (free viewpoint)

Remote control vehiclesHD Video

streaming

360° video (lo-res)

Ba

nd

wid

th

Latency

Video VR/AR

People & Things

SystemControl

Virtual RAN

360° VR/AR

The Net Effect: The 100yr, 100x shift

Core

Cloud

Edge

Cloud

100xCompute

Tech

IP

NetworksBroadband

AccessCore

Cloud

Broadband

Access

IP

Networks

Compute

Tech

100ms

10Mbps

1 day

$1000

10B

1ms

10Gbps

10 years

$1

100B+

$

- +

Past Future

People

Devices

Things

Converged

Edge Cloud2

Software

defined

3

Universal

Adaptive Core4

Access agnosticconverged core

modular, decomposednetwork functions

Common data layer

Programmable

Network OS5

Dynamiccustomerservices

Dynamicnetwork optimization

Management

&

OrchestrationSDN NFV

Multi-operatorfederation

Autonomously

optimized coverage

& capacity

Massive

Scale

Access1

Long

fibers

Converged

Node

Short

waves & wires

Digital Value

Platforms7 Web, Enterprise

& Vertical apps

External data sources

Open APIs

Augmented

Cognition Systems6 Machine

learningAnalytics

Emerging

Devices &

Sensors

Dynamic

Data Security8

• New trust framework

• Ecosystem sharing

• Mass edge monitoring

0

Smart Network Fabric

Core cloud

The New

Value

Architecture

Future X Network at work

Cooperative Robot ControlCooperative Collision Avoidance

3D Printing - Construction(*) www.intersurgtech.comAR assisted design

Drone Control

Tele Surgery

(*) Amazon

Latency

Shorter

Path

Shorter symbols

Shorter framesMulti-channel

Access

Reliability

Multi

Path

Channel

redundancy

Robust

modulation

/ coding

Internal Use

Capacity

Spatial

Reuse

More

Spectrum

Spectral

Efficiency

The triangle of truth

Triangle of truth guiding us towards possible solutions

critical robot control in factories

URLLC Demo: integrated environment for safety

Public

Bosch APAS

assembly robot

base station

Bosch Rexroth

controller

Invisible light fence

A millisecond from detection to action

remote control of harbor cranes

and vehicles

Remote Operation - Harbor

base station

uplink video

uplink system messages + tactile

downlink system messages +

commands (+ head/eye position)

edgecloud

VR/AR

multi--screen

control center

URLLC + broadband URLLC + broadband

video

processingmotion

compensation

Gigabit per second video and millisecond latency for full immersion

4K,VR

Automated Sliced

Network

Zero-Touch Network and Service Automation

Initial Virtualized

Network

Virtualizing Network

4K,VR

Manually Sliced

NetworkStatic &

limited scale

TCO

Physical

CSP

Network

Physical Network

Dynamic & large scale

Degree of network transformation

Level of automation

-32%

+30%

+19%

The E2E Challenge & Opportunity

The Answer: Augmented Cognition Systems + PNOS

Programmable Network OSAugmented Cognition Systems

New value

= productivity

More time

New

architecture

= distributed

Future X

New technology

= innovation

Systems

New

opportunity

= automation

E2E

solutions

One more thing…

#Telstarring