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Intel 5G VisionTakashi Shono, Intel Corporation
DOCOMO’s 5G Tokyo Bay Summit23 July, 2015
2
Semiconductor Technology Evolution
Moore’s Law and Wireless Communications
1995 20152005
GSM SpecComplexity
1X(10 Kbps)
WCDMA SpecComplexity
10X(2 Mbps)
LTE/HSPA SpecComplexity
100X(300 Mbps)
3BTransistors/IC
300MTransistors/IC
5MTransistors/IC
3D TransistorsHi-K Metal GateStrained Silicon
90nm 65nm 45nm 32nm 22nm 14nm 10nm 7nm(Y1994) (Y2014)
3
Semiconductor Architectural Innovation
2D Integration 3D Integration
LogicMemoryPower Reg.RadioSensorsPhotonics
Heterogeneous System Integration1
1. IEDM 2011, The Evolution of Scaling from the Homogeneous Era to the Heterogeneous Era, M. Bohr2. IEDM 2012, Uniform Methodology for Benchmarking Beyond-CMOS Logic Devices, D. Nikonov, I. Young3. IEDM 2012, The Ultimate CMOS Device and Beyond, K. Kuhn et al.
Beyond CMOS Devices2,3
Advanced Interconnect
Cu Wires at 17nm.Colour indicatescrystal orientation.
Planar FinFET
4
USER EQUIPMENT
RADIO ACCESS TECHNOLOGY
ACCESS NETWORK
CORE NETWORK
INTERNET / CLOUD
Network function virtualization
Hypervisor
Operating System
C-RAN (Remote Radio Heads)
Small cells
Securi
ty
4G
3G/2G
WiFi
5G licensed + unlicensed + cm/mmW
licensed + unlicensed
Integrated heterogeneous
connections
IoT
5G: Network Transformation
5
• cmWave/mmWave• Licensed/unlicensed• RF component challenges for high bands
• Ultra-reliable and available• Ultra-low latency and responsive
• Long range • Small data• Low power consumption• Massive number of devices
• Higher data rate• Uniform user experience with higher data rate• Higher traffic density• Improved power efficiency
Massive
Connectivity
Mobile
Broadband
New
Spectrum
Mission
Critical
Services
• Narrow bands/simple radio• Extended link budget• Lightweight connections
• Large bandwidth• High number of antenna elements• Advanced BF and tracking• Opportunistic access• Multi-RAT interworking
• Scalable TTI for latency and reliability
• Multiplexing of normal and low latency regions
• Scalable numerology• Massive MIMO/BF/CoMP• Ultra-dense network• Large bandwidth aggregation
4 Pillars for 5G System Design
6
5G Core Technologies
5G
Ke
y
Te
chn
olo
gie
sEvolved
Multi-Antenna Processing
Very Large or Massive MIMO Systems
CoordinatedSystems
C-RAN Topologies and Silicon Photonics
New Modulation and Coding
Non-Orthogonal Multiple Access
NetworkVirtualization
Software Defined Network
New Access to Spectrum
Unlicensed, LicensedShared Access, cmW,
mmW
Multi-RATOperation
Intelligence Traffic Routing
Low Energy Systems
Devices and Infrastructure
D2DCommunications
MTC and V2VApplications
5G
Ke
y
Ra
dio
Ba
nd
s
cmWave100-500 MHz+ BW
SU/MU-MIMO
mmWave500MHz+ BW
Hybrid MU-MIMO-BF
μWave~100-200 MHz BW
SU/MU-MIMO
7
Global Timeline of 5G
2014 2015 2016 2017 2018 2019 2020 2021
WRC-15(<6 GHz)
WRC-19(>6 GHz)
Rel-14 Rel-15 Rel-16
Initial 5G Commercialization
Industry 5G Standards
ITU’s 5G Standards
Global Spectrum Allocation for 5G
5G scope & requirements SI
>6GHz ch. model SI
SI: New RAT; Phase 1: <6 GHz scalable to ~30 GHz; Phase 2: >30 GHz
5G RATeMBB
5G RATMTC
WI(s): <6 GHz scalable to ~30GHz
WI(s): >30 GHz
WI(s): Enh. For <6 GHz ~ 30 GHz
WI(s): Mission critical MTC
5G preparation
Networkevolution SI->WI: RAN/CN architecture evolution
WI(s): Massive MTC
5G RAT+
8
Device Technology Evolution
5
10
15
20
25
2012 2014 2016 2018 2020
Estimated AP Node vs. Year (PQR)
AP Geometry (nm)
AP
Ge
om
etr
y (
nm
)
Year
22nm
14nm 10nm
7nm
Source: Fudzilla
Q3 Q4Q2Q1
2013 2014 2015 2016 2017 2018 2019Q3 Q4Q2Q1 Q3 Q4Q2Q1 Q3 Q4Q2Q1 Q3 Q4Q2Q1 Q3 Q4Q2Q1 Q3 Q4Q2Q1
Design
Cycle #1
Design
Cycle #2
Design
Cycle #3
Design
Cycle #4
7160 726040nm R10R9 28nm
Atom Z24xx
Cat-6Cat-4
32nm
1-Core 32-Bit
Atom Z25xx32nm
2-Core 32-Bit
2020SoFIA LTE4-Core 64-Bit
Atom Z37xx4-Core 64-Bit
22nm
28nm
0
200
400
600
800
1000
1200
2012 2014 2016 2018 2020
LTE Downlink Data Rate vs. Year
Downlink Data Rate (Mbps)
Do
wn
lin
k D
ata
Ra
te (
Mb
ps
)Year
7160(Cat-4)
7260(Cat-6)
1Gbps
Potential Design Region – Ultra Premium Devices
Example Design Cycle Iteration
Simple Linear Extrapolation
Design, Product and Process predictions are speculative and not to be relied upon. Design cycles and process nodes may be realized more or less quickly than noted.
9
5G Device
RF Proc
FEMWCDMA Rel-15
LTE Rel-15
WiFi – 802.11ax
WiGig – 802.11ay
GSM/EDGE
“5G”
BT 5.x
GNSS
Location Core
CommsCore
Media Cores
PHY Processing
Sensors
ApplicationCores
Auto Interference Suppression (AIS)
- Suppress inter-CA or GNSS harmonic
and inter-RAT self-interference
Multiple RATs (Radio Access Technologies)
- Evolution of LTE, HSPA, WiFi, BT basebands,
addition of 5G RAT(s)
Multiple GNSS Evolution
- Multiple waveforms – GPS,
Glonass, Galileo, Beidou,
IRNSS, Ancillary Terrestrial
Systems
Multi-Band Support
- Variable Frequency Operation
- >40 LTE bands, >10 HSPA bands,
plus WiFi, BT, GNSS bands
- 5G mm-wave (10-100GHz) Support
Multi-Antenna Operation
- 4-Port+ Operation
- Multi-Band, Multi-RAT Port Sharing
- Active Impedance Matching
Advanced Baseband Signal Processing
- Blind co-channel suppression
- Multiple MIMO modes
- MU-MIMO co-scheduled interference suppression
Inter-RAT Connection Management
- WiFi Offloading
- Multi-RAT Aggregation
PA Efficiency
- Envelope Tracking
- Digital Predistortion
Very Low Power Operation
- Advanced Power Management
- Delegated Cores
Location Processing
- A-GNSS Computation
- Sensor Fusion
Advanced Sensors
- MEMS
Integration
4G-5G
Transition
Impact
High
Medium
Low
IntegrationRF
Baseband
Low Frequency
RF (<6GHz)
FEM
mm-Wave
DSP
cm- and mm-wave Antennas
- Low power, low cost operation
Note: Critical technologies indicated in red.
10
Intel to Partner with DOCOMO on 5G Device
11
5G Network
Virtual Core Network (VNC)
Multi-RAT: LTE (FDD/TDD), HSPA+, 5G
Centralised SchedulerFast scheduler, inc.
interference coordination
E-Net & CPRI Fiber DistributionDark or operator fiber – Multi- l CWDM/
DWDM, Tbps Backhaul
Multi-Band Remote Radio Head (RRH)
Full-band, multi-band operation, arbitrary
waveform transmission
Star Topology
Cascade Topology
Processing HubEnterprise core, central
office, stadium or venue
Internet
Virtualized Cells
mm-Wave Array
m-Wave Array
5G Small Cell
5G M-MIMOmm-wave
LTE MIMOm-wave
12
Affordable Way to Achieve1000x
Achieve 1000x network capacity enhancement while trying not to increase network deployment cost, i.e. CapEx/OpEx.
…To This, the Vision
Functions implemented in virtualized software
Commercial Off-The-Shelf server hardware
Open standard solutions
From This, Today…
Traditional networking topology
Monolithic vertical integrated box
TEM proprietary solutions
vIPS vEPC C-RAN
NFV
Firewall VPN IPS
IA CPUChipset
Acceleration
SwitchSilicon
NICSilicon Linux/AppsTEM/OEM Proprietary OS ASIC, DSP, FPGA, ASSP
Network Functions Virtualization (NFV)
13
Wireless Access on COTS Server: C-RANMobile service provider demanding efficiency & lower
TCO/TTM enabling best user experience
Foster Innovations in vRAN, C-RAN, Cloud Services, Real Time Virtualizations
Innovative Services
Small Cell to Edge Cloud to C-RAN
Virtualizations, Industry Innovations
x86 Platform
Hypervisor
L2 VMs
L3 VMs
Services VMs
1st Cloud RAN PoC in China Mobile1st ETSI NFV Cloud RAN Virtualization PoC1st OTA Cloud RAN Virtualization PoC
Optimized and Validated Software
Co-Marketing Programs
TEM/OEM/OSV/ISV
Network Builders
Thank You