The wireless edge transformation has begun and will realize 5G's full potential - @qualcomm_tech August 2018
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August 2018 @qualcomm_tech The wireless edge transformation has begun and will realize 5G’s full potential
Leading mobile innovation for over 30 years
Digitized mobile Redefined Transforming
communications computing industries
Analog Desktop to Connecting virtually everything
to digital smartphones at the wireless edge
Transforming how the world connects, computes and communicates
2
Making 5G
a reality in 2019
Industry-leading 5G End-to end Commercial Commercial
R&D interoperable system chipsets: networks
global standards prototypes Qualcomm® and products
and test beds Snapdragon™
X50 5G modem
Qualcomm Snapdragon is a product of Qualcomm Technologies, Inc. and/or its subsidiaries. 3
Our technology inventions drove Rel-15 specifications
Scalable OFDM- Flexible slot-based Advanced Massive Mobile
based air interface framework channel coding MIMO mmWave
Scalable OFDM Self-contained Multi-Edge LDPC and Reciprocity-based Beamforming
numerology slot structure CRC-Aided Polar MU-MIMO and beam-tracking
Address diverse spectrum, Low latency, URLLC, Support large data blocks, Large # of antennas to For extreme capacity
deployments/services forward compatibility reliable control channel increase coverage/capacity and throughput
Early R&D investments | Best-in-class prototypes | Fundamental contributions to 3GPP
4
World’s first 5G NR milestones led by Qualcomm
World’s first interoperable World’s first interoperable Successful multi-band Interoperable 5G NR sub-6 5G NR interoperability Rel-15 5G NR trials
5G NR sub-6 GHz data 5G NR mmWave data 5G NR interoperability GHz & mmWave testing preparing for the based on Snapdragon
connection connection testing connections with 5 vendors Chinese mass market X50 modem chipset
November 2017 December 2017 February 2018 MWC 2018 June 2018 2H-2018
Driving the 5G ecosystem towards 2019 launches in collaboration with
18+ global mobile network operators and 20+ device manufacturers
5
Operators select
Snapdragon X50 5G
modem for 5G NR
trials in 2018
Vodafone
Group
OEMs select X50 5G
NR modem for global
device launches in
2019
6
5G Modem family
World’s first 5G NR
multimode modems
2G/3G/4G/5G in
a single chip
Sub-6 + mmWave
Premium-tier
smartphones in 2019
7
Commercializing mmWave in a smartphone form factor
76 mm
157.25 mm
mmWave (60 GHz) viability Qualcomm® 5G NR 9.7 mm
in handset form factor mmWave prototype
11ad in Asus 5G NR mmWave
Zenfone 4 Pro Qualcomm® Reference Design
Qualcomm Reference Design is a product of Qualcomm Technologies, Inc. and/or its subsidiaries. 8
Qualcomm® Smartphone
form factor
Fully-integrated Newly supported
mmWave RF mmWave bands
Advanced
mobility features
QTM052 mmWave
antenna modules
Suitable for compact Including transceiver, Supporting for up to 800 Supporting beamforming,
smartphone industrial PMIC, RF front-end MHz of bandwidth in beam steering, and beam
designs with four components, and a n257, n260, and n261 tracking for bi-directional
Making mobile mmWave mmWave modules phased antenna array 5G NR mmWave bands mmWave communications
viable and ready for
commercialization
Qualcomm QTM052 is a product of Qualcomm Technologies, Inc.
and/or its subsidiaries.
9
Today,
intelligence is primarily associated with the cloud
10Realize low latency Privacy
New experiences Immediacy
Edge cloud
Customization
To scale, Efficiency
On-device
intelligence must be distributed
to the wireless edge, on the device
Extract local value Reliability
Trillions of connected things
Massive amount of data
Security and privacy
Content closer to user Personalization
11Cameras Sensors
Mobile computing Automotive
Mobile is becoming the
Smartphones
pervasive AI platform bringing broader Healthcare
Smart homes
Societal benefits Extended reality
and the promise
of massive on-device AI
Wearables Robotics
Rapid Superior Power/thermal Integrated/
replacement scale efficiency optimized
cycles technologies
Gadgets Industrial IoT
Driver Virtual Enhanced Superior Healthcare
safety assistant security photography and more…12On-device intelligence is paramount Privacy
Process data closest to the
source, complement the cloud
Perceive
Hear, see, monitor,
and observe Reliability
Reason Immediacy
Learn, infer context,
and anticipate
Training
Execution/inference
Efficiency
Act
Intuitively, interact
naturally, protect
privacy
Execution/inference
Training (emerging)
Personalization
13The challenge Constrained
of AI workloads mobile environment
Compute Thermally efficient
intensive for sleek designs
Large,
complicated
models
Complex Requires long battery
concurrencies life for all-day use
Real-time
Always-on Storage/memory
bandwidth limitations
Power and thermal efficiency
Critical to the promise of AI on a wide range of connected devices
14Security
Perceive
Hear, see, monitor,
Sensing
Our technologies
and observe
are transforming the
wireless edge today Processing
Reason
Learn, infer context,
and anticipate
Inventing technology at scale to realize Connectivity
the promise of massive on-device AI
Providing the connectivity fabric with Act
LTE, Wi-Fi, Bluetooth today Edge services
Act intuitively, interact
naturally, and protect
privacy
On-device AI
15A unifying connectivity
fabric for society Scalable to
extreme simplicity
Like electricity, you will just
expect it everywhere
16Leading
society to 5G Rel-15 Rel-16+
And the expansion of the 5G ecosystem
17LTE Advanced Pro accelerates the ecosystem expansion
Drone
communications
5G NR mmWave Public safety
nx10 Gigabit 5G
5G NR Sub-6 GHz,
Gigabit LTE
and LTE coverage Digital broadcast
nx1 Gigabit 5G
VoLTE LTE IoT Private LTE
networks
Ubiquitous LTE Automotive
Gigabit LTE, VoLTE (C-V2X)
18A unifying
connectivity
fabric for the
wireless edge
Connecting virtually everything, an
innovation platform for future services
Extreme mobile broadband
Mission-critical services
Massive Internet of Things
19Low latency multi-
player gaming
Distributed processing
for boundless XR
The wireless edge
Instant
cloud access
transformation realizes On-device intelligence
the full potential of 5G to act with immediacy
Local interactive
New experiences with new levels of immersion, content
immediacy, personalization and privacy
Creating new industries and transforming existing
industries in the new era of distributed autonomy Edge sensors
with privacy
Essential on-device capabilities augmented with
processing/compute, content, control,… at edge cloud
Ultra-low latency for
reconfigurable factory
Virtual assistant with
personalization
20Enhancing services, creating new services, new Realize 5G’s
deployment models with our end-to-end expertise low latency
Augmented by Driving the best possible Distributed/split
functions over 5G
Cloud edge cloud on-device capabilities
Big data, AI training, less delay Compute/processing, content, Sensing, processing,
sensitive content, storage,… control, storage,.. closer to user1 security, intelligence
Extract value – vs.
‘dumb’ data pipe
Deeper On-premise
in network factory/venue
Economic and performance tradeoffs Customization,
local value
Latency could be Latency as low
over 100s ms today as 1 ms
Cooperation between operators, infra vendors, OEMs, content providers, cloud providers,…
New deployments,
like private networks
1. Such as distributed/virtualized core, distributed packet gateway functionality for low latency, mobile edge compute, related to MEC Multi Access Edge Computing as defined by ETSI 21Distribute functions based on economic
and performance tradeoffs for use case
Driving the best possible
on-device capabilities
Cloud Edge cloud
Big data, AI training, less delay Compute/processing, content,
sensitive content, storage,… control, storage,.. closer to user1
On-premise control for On-car intelligence for
ultra-low latency in the immediacy, edge cloud
reconfigurable factory e.g. for local HD maps
Deeper
in network
Economic and performance tradeoffs
On-premise
factory/venue
Distribute processing
?
New services through
across device and edge distributed/split functions
cloud for boundless XR over 5G
Latency could be Distribute functions depending on use Latency as low
over 100s ms today case e.g. to reach required latency as 1 ms
Content/control closer to On-device virtual assistant for
1. Such as distributed/virtualized core, distributed packet gateway functionality for low latency, user for instant access, real- privacy and personalization—
22
mobile edge compute, related to MEC Multi Access Edge Computing as defined by ETSI time online gaming, etc. assistance from cloudInstant access to media Connected cloud Low latency online The basics: responsive
and entertainment computing multiplayer gaming web browsing
Interactive venue experiences Rich real-time user-generated Mobile immersive Distributed processing for
like live 360° streaming content, like video sharing experiences boundless photorealistic XR
• Fiber-like data speeds • Content/control closer to user Enhanced and
• Low latency • Realization of low latency
• Uniform performance + • Customized local value = entirely new
• Massive capacity • Augment on-device processing experiences 23
235G’s capacity and latency for shared
venue experiences
24Augment on-device processing for
boundless photorealistic mobile XR
25A glimpse into the future — sleek and stylish XR glasses
How do we get there?
Bone conduction transducers Multimode connectivity
(4G, 5G, etc.)
Directional speakers
Many passive and active cameras
with fisheye and telephoto lenses
Optoelectronic night vision
and thermal imaging sensors
Ambient light sensors
Tracking and recording cameras
Eye tracking cameras
Inertial, haptic,
and health sensors
New optics and projection
Multiple high sensitivity technologies within a durable,
audio microphones semitransparent display
26Boundless mobile XR — experience the best XR anywhere
On-device processing, On-device processing
access to rich content augmented by edge cloud
Premium Photorealistic graphics
XR anywhere and visuals
Efficient on-device processing to Enhanced experience where possible with
deliver immersive XR new split-rendering architecture
Utilize connectivity for less On-device processing augmented by compute
time-sensitive content and downloads located at cloud edge over 5G connectivity
We are doing this today We are working with the ecosystem to enable this
27A new era in distributed processing
Thermally efficient for
Compute intensive sleek and ultra-light
Complex concurrencies Complex Challenging
XR workloads XR form factor Long battery life
Real-time for all-day use
Always-on
Storage/memory
Latency sensitive bandwidth
Essential on-device processing Split rendering Augment by edge cloud processing
Optimized under strict power, Significant higher power
thermal, size constraints envelope—beyond PC class
Premium experiences today that Augment on-device rendering with
continuously improve edge cloud rendering
Low latency
High capacity
Reliable link
28Augment on-device processing for
boundless photorealistic mobile XR
XR headset
Cloud Edge Cloud with on-device processing
Less latency sensitive content with rendering
(e.g. recorded streaming video) 6-DoF head pose
On-device
Encoded data
adjustment to
latest pose1
Deeper On-premise,
in network e.g. venue
Today’s latency is Partial rendering offload possible with 5G’s Power-efficient, latency sensitive
unpredictable low latency, capacity and quality of service on-device rendering and tracking
1. Asynchronous time warp reduces Motion to Photon (MTP) latency by using on-device processing based on the latest available pose. MTP below 20 ms generally avoids discomfort — has to be processed on the device 29AI offers enhanced experiences
and new capabilities for smartphones
True personal assistance Superior photography
Extended battery life Natural user interfaces
Enhanced connectivity Enhanced security
A new development paradigm where things repeatedly improve
30v
Voice is the
transformative user
interface (UI) we’ve
been waiting for
Designed to be
Always-on
Conversational
Personal
Private
Critical to create a
true virtual assistant
A context aware and personalized
“digital me” sitting on the device
31A true personal assistant is responsive and proactive
Responsive Proactive
Based on contextual analysis and prompting Based on contextual analysis without prompting
(e.g. finding memories) (e.g. automatically sharing memories)
“Remember the time I was strolling with “I noticed that you are tired and stressed, I’m turning
my son after the party at La Jolla beach?” on the Rocky III soundtrack and navigating you
to the gym for a workout and sauna.”
“Yes I do, here is a picture you took of the sunset. “This music gets my blood going and a
Should I share it with your family group on WeChat?” workout and sauna will help me relieve stress.”
32Contextual intelligence required for personalization
On-device data Off-device data Sensor data
Calendar Cloud data/rich content Environment Iris scan Ambient light Compass
Messaging IoT data Camera Microphone Temperature Humidity
Sensor fusion
Apps Gyroscope Pulse C-V2X
The local fusion of many types of sensors and personal information
33On-device AI creates a true
personal virtual assistant
Cloud-centric (today)
less privacy and
personalization
Automatic speech Voice
recognition
AI agent activation
Service SMS Maps
Natural language
manager Weather News
understanding
SensorEcho cancel,
Video Music Text-to-speech fusion speech denoising
Access to rich content
On-device (future)
Continuously
learns personal
Sensor fusion knowledge and
acts intuitively
Automatic speech Voice
recognition activation with immediacy
Service SMS Maps Natural language
understanding
manager Weather News AI Echo cancel,
Video Music
Text-to-speech agent speech denoising
34
Both ends are needed — but AI functions gradually moving on to the devicePower efficient AI Personalized AI
Qualcomm
Technologies is
making on-device Model
design
Model
quantization Contextual
Self-
AI ubiquitous
learning
Efficient hardware
Model Model Privacy/ Low-power
activation compression
Algorithmic advancements security always-on
Software tools
35All data should not go to the
central cloud—especially private
Cloud based processing Security
camera
Notification Storage Raw video stream
Camera processing,
deep learning
Wireless edge processing
Security
camera
Relevant video clips
Aggregated edge data
analytics
Notification On-device camera
processing, deep
learning
Lower latency, privacy, on-device
security, but also less bandwidth
36AI in here. And
everywhere.
Advanced camera processing, powerful
machine learning, and computer vision at the
Refrigerator
Inventory edge will allow new applications that push the
No eggs available Chicken
boundaries of our connected world.
Bell Peppers
Soy Sauce
Milk level is low Purple Basil
Raspberries
Milk (level is low)
MENU SUGGESTIONS Intelligent cameras Local at the edge
monitor and track processing means
what’s inside. low latency and max
efficiency.
2 pizzas available
Dish soap level is low
Neural networks Ubiquitous connectivity
watch and learn helps you avoid running
your preferences. out of critical food supplies
377YTR843
3NDU913 783HNW
K8925-A
Alert! Minor collision in
area. First responders
are on the scene. 2LBA642
7TOZ033 7JPS440
5ELP440
5KTZ714
Intelligent
License Plates visible from
my position: 1XAS876,
7JPS440, 783HNW, 5KTZ714,
3MNS337, 5LBR363, 1ILM281,
Smart Cities
27IWS291, GRT-BRTN, 3UJS301,
6SAW391, 1NAL963, 5ELP440, 1XAS876
7TOZ033, 2LBA642, K8925-A,
3NDU913, 3ANL538, 7YTR843…
• Scene Classification
• License Plate
accidentRecognition
Traffic slow ahead
due to an
in the left lane.
• Target Sound Detection
5LBR363
3MNS337
1XAS876
1ILM281
27IWS291
3UJS301
1NAL963
GRT-BRTN
6SAW391
38Massive scale Power efficient
To efficiently support dense To realize10+ year device battery
life and 100x network energy
2
connections of 1+ million
efficiency
3
devices/km 2
Scaling for the massive
Internet of Things
In-band 5G NR (R16+)
LTE IoT Continued eMTC evolution
Long range Extreme simplicity
To reach challenging locations To allow scaling to the lowest-end Today Continued NB-IoT evolution
by achieving device link budget use cases with e.g., single Rx
of 164 dB1
antenna
Addressing growing needs of low-
power, wide-area IoT use cases
1. Maximum Coupling Loss, assuming data rate of 160bps
2. Assuming 200B UL + 20B DL per day at 164 MCL with 5Wh battery
3. Compared to IMT-Advanced 395G IoT requires new solutions at the wireless edge
Opportunities Challenges Our solutions
Trust environment Device-cloud
rooted in HW integration at scale
Monetize and manage massive amount Trust and security
of low-complexity things Large number of ecosystem
participants
Manage new, more intelligent devices
and new use cases
New business and deployment model, Total cost of ownership
like private networks for the Industrial IoT HW/SW, life-cycle support,
upgradeability
Zero-touch device
life-cycle management
Trusted chipset services for
enterprise and IoT providers
40Trusted services to securely
connect and manage devices
Qualcomm® wireless edge
services cloud platform
Unique device key embedded
in chipset at factory
• Secure boot, debug
• Hardware root-of-trust
• Secure execution environment
• Runtime integrity checks
3rd party device Secure and trusted life cycle management
management platform • Device attestation and connection integrity
• Device provisioning with plug-n-play on-boarding
• On-demand chipset upgrades and feature activation
41
Qualcomm wireless edge services is a product of Qualcomm Technologies, Inc. and/or its subsidiaries.Enabler to the factory Safer, autonomous Reliable access Precision
of the future transportation to remote healthcare agriculture
Efficient use of Private networks for logistics, Sustainable smart cities Digitized logistics
energy and utilities enterprises, industrial,… and infrastructure and retail
Powering the digital economy
5G will expand the mobile
ecosystem to new industries
> $12 Trillion
In goods and services by 2035
*
42
* The 5G Economy, an independent study from IHS Markit, Penn Schoen Berland and Berkeley Research Group, commissioned by QualcommDriving a rich 5G roadmap in Release 16 and beyond
5G massive 5G NR in unlicensed/shared
IoT spectrum
5G NR 5G NR integrated
C-V2X access and backhaul
5G industrial IoT 3GPP Rel-15 5G broadcast
with URLLC design provides the
foundation for R16+
Sub-6 GHz | mmWave
43Private 5G networks for Industrial IoT use cases
Optimizing LTE today New opportunities with 5G NR
Ultra-reliable Time-sensitive
low-latency networking
Scalable from
Gigabit LTE to LTE IoT
mmWave and Wireline ethernet
sub-6GHz eMBB replacement
Optimized Dedicated Secure
Tailored for industrial applications, Local ‘edge’ network, easy to Industrial grade security
e.g., QoS, latency deploy, independently managed with LTE and 5G NR
44Container ports Oil refineries Manufacturing Construction
Mines Warehouses Wind farms Oil rigs
> $5 Trillion 1
Global economic output in 2035 enabled
Manufacturing
$3,364B
Transport
$659B
Construction
$742B
Utilities
$273B
Mining
$249B
by 5G in the following five categories 1. “The 5G economy: How 5G technology will contribute to the global economy” by IHS Economics / IHS Technology
45Enabling reliable wireless IoT
connectivity at transport hubs
46The reconfigurable factory of the future
will thrive on the wireless edge
47Security camera Sensors
Extreme
Massive IoT
mobile broadband Process Monitoring
Latency: 100 ms
Availability: 99.99%
Rate: kbps
Head mounted display
Augmented Reality
Latency:Cloud services Local network On-device
Cloud analytics and virtualized Local gateway and/or local Various degree of
Sensor
core network functions core network functions on-devices capabilities
fusion
Sensors
Security
Gateway 15.4 W-HART
Analytics
Wi - Fi
BLE
Computer
vision
Wired
Machines
Sensitive traffic/data
stays on site
Enables ultra-low On-device
1 ms latency intelligence
Access
Big data analytics Edge analytics
Low-power
processing 49You don’t want your
device to confirm with
the cloud to take action
On-device intelligence is key for
today’s and future autonomous cars
50On-device intelligence is key for autonomous cars
Autonomous cars
Perceive Reason Act
Vision
Radar
Tele-operation
Machine learning
Sensor processing Automotive SoC Safety MCU Data analytics
Precise
algorithms
Machine learning
and SW HD maps
positioning Sensor fusion Fail-operational
compute
Mission planning
Drive-by-wire
Lidar Behavioral analysis
vehicle controls
Edge cloud for local Central cloud for
C-V2X data, e.g. HD maps big data/training
51Communicating directly
with people and things
V2I
V2V C-V2X
Car intends Establishes the foundation
Green for 20s to enter lane
V2N for safety use cases and
Rerouting a continued 5G NR C-V2X
evolution for future
Construction 1.3 mi autonomous vehicles
Release 14 C-V2X
completed in 2017
V2V Non-line of sight
Car approaching Broad industry support,
from blind corner 5GAA
Global trials started
in 2017
V2P
Cyclist approaching Our 1st announced C-V2X
product in September, 2017
52C-V2X R14 only car
5G NR C-V2X R14 C-V2X brings non-line
of sight safety capabilities
Brings complementary capabilities
for autonomous driving
Path planning
Intention and trajectory sharing
for faster, yet safe maneuvers
C-V2X R14 / R16 car
Share perception
Sharing of high throughput
sensor data and real world model
Real-time
updates
Real-time sharing of local data
with infrastructure and vehicles
(e.g. 3D HD maps)
Coordinated
driving
Exchanging intention
and sensor data
53Our technologies are already
transforming the wireless edge to
realize the full potential of 5G
Learn more at www.qualcomm.com / 5G
54Thank you!
Follow us on:
For more information, visit us at:
www.qualcomm.com & www.qualcomm.com/blog
Nothing in these materials is an offer to sell any of the References in this presentation to “Qualcomm” may mean Qualcomm
components or devices referenced herein. Incorporated, Qualcomm Technologies, Inc., and/or other subsidiaries
or business units within the Qualcomm corporate structure, as
©2018 Qualcomm Technologies, Inc. and/or its affiliated
applicable. Qualcomm Incorporated includes Qualcomm’s licensing
companies. All Rights Reserved.
business, QTL, and the vast majority of its patent portfolio. Qualcomm
Qualcomm and Snapdragon are trademarks of Qualcomm Technologies, Inc., a wholly-owned subsidiary of Qualcomm
Incorporated, registered in the United States and other Incorporated, operates, along with its subsidiaries, substantially all of
countries. Other products and brand names may be Qualcomm’s engineering, research and development functions, and
trademarks or registered trademarks of their respective substantially all of its product and services businesses, including its
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