5G hálózatok –helyzetkép és perspektívák · Edge Cloud Software-defined Massive Scale...
Transcript of 5G hálózatok –helyzetkép és perspektívák · Edge Cloud Software-defined Massive Scale...
5G hálózatok – helyzetkép és perspektívák
Zagyva Béla / 2019.05.22
© 2019 Nokia2
Essential Perspective: The 3 Limits
5G hálózatok – helyzetkép és perspektívák
© 2019 Nokia3 5G hálózatok – helyzetkép és perspektívák
© 2019 Nokia4
…be prepared for the obvious and the uncertainNew DSP markets offer significant revenue expansion
The quest for new economic value
5G hálózatok – helyzetkép és perspektívák
Estimated 2025 value creation potential of the IoT - McKinsey Global Institute
Time
Area of uncertainty
2019 2020
Enhanced mBB
Ultra speed Internet
HD & UHD services
New monetization
4th industrial revolution
Digitization
Automation
Flexible production
Disruptive new experiences
e.g. Haptic Internet
NW
req
uir
em
en
tsA
ccele
rati
ng
sp
ee
d o
f ch
ang
e
2022
Unrealistic
Factories
Worksites
Cities
Logistics& Transport
Health
($B) 170
37001210
930
1660930
560
1590
Low estimateHigh estimate
160
850
© 2018 Nokia5
Unleashing the 5G potential5G Future X
x10k traffic >10Gbps peak data
10 years on battery1M devices/km2
<1ms latencyUltra reliability
5G hálózatok – helyzetkép és perspektívák
Massivemachine
communication
ExtremeMobile
Broadband
Critical machine
communication
Optimization focus
Bit/s/Hz/m2/joule/$
Architecture design
Cloud nativeScalableAutomatedAI drivenOpen
© 2019 Nokia6
Accelerating 5G NR – arriving one year earlier than expected
Enhanced mobile broadband
Full 5G Future X architecture
Ultra reliable low latency communications
Massive machine-type communications
20212017 2019 2020 20222018
Industry agrees on 5G NR acceleration
Early drop
Release 15
Release 16
Speed of innovation to prepare
now
Early drop deployment
Phase 1 deployment
Phase 2 deployment
5G hálózatok – helyzetkép és perspektívák
© 2019 Nokia7
5G Maturity Index – Balanced Builders best practices
Aligning 5G transformation with business objectives and technology maturity
Source: Analysys Manson 2019
Complex Use Case MonetizerAdvanced Coordinated
Deployer
Strategic Technology
Coordinator
Strategic Use Case CoordinatorUse case driverMeasured Follower
Multiple use case implementerBalanced BuilderTechnology Driver
Business / use case maturity
Technolo
gy
matu
rity
8+use cases
Automationhaving/consider-ing e2e SON
86%Commercial deploymentOSS/BSS transformation
60%
Ambitious strategy as key driver to 5G success
86%Ecosystemmultiple partner communities
100%Digitalizationusing or planning to use AI/ML by 2020
100%
5G hálózatok – helyzetkép és perspektívák
© 2019 Nokia9
Time-consuming and costly post-deployment integration Silos hinder fast and cost efficient 5G deployment
Radio Transport Core MANO
Time consuming deployment and integration
Lacking end-to-end network design
Integration cost overruns, manual processes
Insufficient service level & security commitments
Complicated onboarding of new services
5G hálózatok – helyzetkép és perspektívák
© 2019 Nokia10
Automation | Analytics | AI
Seven closely synchronized streams towards 5G networkThe path to 5G contains much more than radio
Programmable Anyhaul
Apps/Contents
Centralization
DensificationU-plane
C-plane
DecompositionU-plane
C-plane
Distribution
Slicing
5G hálózatok – helyzetkép és perspektívák
© 2019 Nokia11
5G Future X
Universal Adaptive Core
Programmable Network OS
Digital Value Platforms
Augmented Cognition Systems
Powerful
Flexible
IntelligentEfficient
ConvergedEdge Cloud
Software-defined
Massive ScaleAccess
Long fibers
ConvergedNode
Shortwaves & wires
Emerging Devices & Sensors
Smart Network Fabric
Autonomously optimized coverage& capacity
Nokia Bell Labsinnovation in action
5G Future X - breakthrough network performance and cost reduction
5G hálózatok – helyzetkép és perspektívák
Embedding AI into the architecture
Zero-touch network optimization in ns tact
Quantum leap in radio economics
3x increase of cell site throughput, slashing power costs
Fully automated network slicing
30% TCO savings
Cloud-native architecture
Web-scale capacity and programmability
Openness acrossthe architecture
© 2019 Nokia12
Size/weight of mMIMOantennas
mMIMO and beamforming ideal for 5G dense urban rolloutQuantum leap in antenna economics: ultra deployable RFIC mMIMO antenna
Traditional mMIMO
Extreme silicon integration
Video capacity
Nokia RFIC mMIMO Ultra Deployable mMIMO antenna
8.5 mm
9.5
mm
Mech4
Antenna
PSU
TRX Mech2
Mech3 BB
FEU
BP Mech1
5G hálózatok – helyzetkép és perspektívák
32.0 cm(Dual-
Polarized, 8 x 8 x 2 = 128
Half 3.5x
Deployment
Any-where
16TRX, 8W: 7/4kg64TRX, 32W: 22/20kg*
© 2019 Nokia13
5G Future X
Network optimization in Nanoseconds timescalesEmbedding open AI into the architecture
5G hálózatok – helyzetkép és perspektívák
Reduced access time with optimized beam steering
Successful video delivery
Open AI engine
Dynamic QoS mgmt.
Multi-cell interference mgmt.
mMIMO gains
Link adaptation
Time to reactns µs ms
Accelerated innovation 100% 50%
AI algorithms
Open APIs
Optim
izat
ion t
ime Traditional
processors
AI optimized processor
Data volume
© 2019 Nokia14
ArchitectureStateless VNFs with state-efficient call processing
Industry-leading performance
5G SA5G NSA4GSoftware Enhanced deployment options
Pre-integratedappliances
Web-scale capacity and programmability on the road to 5G NGC5G ready cloud packet core
Cloud-native architecture
Cloud infrastructuredeployments
Scalability and efficiency Smooth path to 5G
Common software
Functional disaggregation and deployment flexibility
Control plane
User planeMulti-VM CMG with LB Multi-VM CMG without LB
On 7750 SR
Single-VM CMG
Sx (4G), N4 (5G)
Control plane(SMF, PGW-C, SGW-C)
User plane(UPF, PGW-U, SGW-U)
CMG (control plane)• State-efficient
control plane• Dynamic scale-in/out
User plane
VNF VMUser plane
VNF VMUser plane
VNF VMUser plane
VNF VM
Load
balancer
User plane
VNF VMUser plane
VNF VMUser plane
VNF VM
User Plane
VNF VMUser Plane
VNF VMUser plane
VNF VM
Load balancer LTE RAN
EPCEPC/5GC
(e)LTE RAN
5G RAN
5GC
eLTERAN
5G RAN
5G hálózatok – helyzetkép és perspektívák
© 2019 Nokia15
Time to market
Most economic way to deliver the highly diverse customer needsFully automated network slicing across RAN, core and transport
5G hálózatok – helyzetkép és perspektívák
Manually sliced
Optimal resource utilization
Instead of 10 slices on same infra
Multi-touch
Automated and AI enhanced
Single- & Zero-touch
From any network to my dedicated network
CloudBand
FlowOne Service Orchestrator
Cloudnative
Any-haul
AutomationFull e2e automation
Partly manual
Status quo
+30%
-32%
# o
f S
lice
s /
TC
O
Minutes any time1 Mio