Towards a connected intelligent future · Enhanced Mobile Broadband Fixed Wireless Access All main...
Transcript of Towards a connected intelligent future · Enhanced Mobile Broadband Fixed Wireless Access All main...
Towards a connectedintelligent future
Dr. Magnus FrodighHead of Ericsson Research, VP
Ericsson Research 2019-03-26
Magnus Frodigh | 2019-03-26 | © Ericsson
Ericsson 5G network deploymentspublicly announced together with customers
First Smartphone -form factor deviceNR interoperability
Enhanced MobileBroadband
Fixed WirelessAccess
All main 5G NRfrequency bands
Interoperability withall key device chipsetspartners
Verizon
AT&T
Telstra
T-Mobile
Swisscom
Sprint
Vodafone
SK Telecom
Etisalat
U.S. Cellular
STCOooredoo
Wind 3TelenorTDC
KT
Magnus Frodigh | 2019-03-26 | © Ericsson
Massive IoT networks deployed
Source: GSMA, Mar 2019
LTE-MNB-IoTNB-IoT & LTE-M
Magnus Frodigh | 2019-03-26 | © Ericsson
Robot control using URLLC and edge cloud
Massive collaboration— control of 18 individual servos moved to edge
cloud, over 5G
Modularity— taking flexible personalized production to an
extreme— quickly (re-)configure and customize the
robot/production line that you need
Enabled by 5G URLLC + real-time edge cloud— mobile robots, even more mobile than AGVs
Magnus Frodigh | 2019-03-26 | © Ericsson
Evolving 5G
Devices & HardwareCo-operative transmissionZero energyZero cost
Radio accessHigher frequenciesIntegrated access and backhaulNew topologies and mesh
Integrated connectivity and edge compute
Trusted networking
Zero-touch
NetworkingEncryption compatible networkoptimizations/CollaborativeArtificial Intelligence / Machine Learning
ImplementationCloud basedService basedAIOpen sourceNetwork service mesh
New use casesManufacturing and industrial IoTAutomotive and ITSXR (AR/VR/mixed reality/…)Fixed wireless access
Magnus Frodigh | 2019-03-26 | © Ericsson
Radio stripesDownlink rate [bits/s/Hz/user]
10 000 m2
Distributed Serial Massive MIMO
Centralized Massive MIMO
>14
12
10
8
6
4
2
Magnus Frodigh | 2019-03-26 | © Ericsson
Edge cloud with latency as driver
Source: Ericsson
AWSGoogleAzure
20ms50ms
5ms10ms
Optimal gamelatency
<1kData centers
<1kData centers
<1kData centers
10ksites
Billionsdevices
Public CDNlatency
Public cloudlatency
Humanperception
5G radiolatency
100ms 75ms 50ms 20ms 10ms 2ms <2ms
>100ksites
# of compute sites/Data centers
Latency, including compute
Public cloud service providers’ cloud Operators’ distributed cloud
Control loops
VR VR/AR/MR
CDN / streaming
Remote operations
Web / app rendering – IoT data
Big data – cold storage
Magnus Frodigh | 2019-03-26 | © Ericsson
Artificial Intelligence everywhere
Distributed AI— Data center, network edge, device
— Global vs. local decision making
Real-time AI— Intelligent decision making on live data
— Real-time predictions and onlinelearning
Responsible AI— Safety and trust guarantees
— Transparency
Magnus Frodigh | 2019-03-26 | © Ericsson
Technology forces – unleashing unprecedentedgrowth from their combinatorial effects
Ubiquitous mobileconnectivity
IoT
Cloud and the edge
AI and automation
New interaction,humans – machine
Robotics
Trustworthiness
5G
Technology forces 2025-ish 2030-ish
Internet of senses
Cyber-physical systems
Trustworthy network andedge compute
New radio networkdeployments, new devices
Universal compute fabric,swarm intelligence
Internet of thoughts, braininterfaces, light fields
New computing paradigms,new metamaterials
Substantial green house gasreductions in and from ICT
Magnus Frodigh | 2019-03-26 | © Ericsson
Summary
— 5G is launched and expanding rapidly
— 5G will continue to evolve for manyyears
— Time to explore and researchtechnologies relevant ten years fromnow
ericsson.com/en/future-technologies