5g mmwave communication: network architectures and platforms · 5g mmwave communication: network...
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5G mmWave Communication: Network Architectures and
PlatformsDr. Geng Wu
Chief Scientist, Head of Intel 5G Research and Standards
The evolution towards 5G: compute and communications
2
Market demands lead to 5G:
1G-4G were focused on improving
communications,
Communications & processing are
diffused across networks and
mobile devices
Scalability, Versatility, Energy
Efficiency
Capacity, Intelligence and User
Experience
5G = compute & communications
5G requirements on network and device platforms
3
~20x
~25x
1x – 2x
3x – 5x
40x-50x
Last Decade Next Decade
Air Interface
Spectrum
ICT Platforms for
Network and
Devices
• Interference mitigation, beam-forming,
hyper-Tx/Rx, new waveforms/ coding
» Massive computing5x – 10x
• Licensed, unlicensed and shared spectrum.
• Air interface for high frequency bands
» New architecture/ new components
• Cell densification
• Overlay network integrated Multi-RAT
• Underlay network device-to-device, relay
• Intelligent network/edge cloud
» Communication and compute convergence
“5G Network Capacity – Key Elements and Technologies,” IEEE Vehicular Technology Magazine, March 2014
Wireless technology is at a turning point. Future performance is measured in bit/s/Hz/m2/joule.
5G network architecture trend 1:
Overlay networks for high frequency bands and energy saving
Control plane anchored at macro-cell, user plane from small cellsAvoid excessive handovers in traditional heterogeneous networks
Turn off selected cell sites at light traffic hoursIncremental small cell deployment according to traffic growth
Cellular band
mmWave
User experience for now, new RAT @ high frequency bands for future
Coverage for now, network energy saving for future
On OffOff
LTEWi-Fi
4
mmWave
backhaul
5G network architecture trend 2:
Underlay networks for things/wearables and proximity services
One big intelligent and information network
Compute, storage, networking
StorageContext-based
Processing
Smart Apps
D2D Coordinator
D2D UnicastLink
D2D Coordinator
D2D Broadcast
Link
Pico/HomeeNB
MacroeNB
Pico/HomeeNB
D2D UnicastLink
D2D Cluster #1
D2D Cluster #2
D2D Cluster #3
D2D Coordinator
D2D UnicastLink
D2D Cluster #0
Spatial Reuse in One Cell Area
D2D Broadcasting
Multi-hop
D2D Cluster #4
Mesh Data on WiFi DirectDiscovery and control on LTE
5
Many devices, types of devices, connections
Many moving underlay network clusters
5G network architecture trend 3:
Cloud expansion to network edge and to devices
Remote Cloud / Basic Terminal CDN / Cooperative Radio Edge Cloud / Underlay Net Clusters
6Logos shown represent categories of common Internet content and are used for conceptual illustration only.
5G network platforms: cloud evolution of 5G networks
7General Performance disclaimer: For more complete information about performance and benchmark results, visit Performance Test Disclosure
453.85
11.26
265.38
10.2
Interrupt MAX Latency on Intel
Processors Trends (µs)
Xeon Sandy Bridge Xeon Ivy Bridge
OFF the Shelf, KVM
Wind River, OVP KVM
10x
100x
1,000x
10,000x
5G network capacity scaling
• Edge cloud shortens the distance between an user
and his contents/services, matches 5G air interface
capability.
• Data, information, and intelligence intensify around
user. Edge cloud efficiency becomes crucial.
• Cloud RAN architecture plays a pivot role in network
densification and cooperative networking.
• Real time workload for air interface related signal processing
requires complete hardware + software platform solutions.
5G device platforms: virtualization of 5G device and access
8
5G
Device + Access
Virtualization
Time
Co
mp
ute
Pla
tfo
rm
Pe
rfo
rma
nce
Feature
Phone
Smart
Phone
Portable
Wearable
5G
• Future applications require intensified compute and
communication but often smaller device form factor
• 5G high data rate + low latency radio links enable mobile
device + access virtualization across the air interfaces
• 5G services are immersive. Sensing, intelligence and contents
require edge cloud and device + access virtualization
• Breaking computing barrier through communication may
transform consumers’ relationship with network
5G d+a virtualization for scalability, versatility, energy efficiency
mmWave channel modeling
9
reflectors
NLOS Cluster #1
LOS Cluster
NLOS Cluster #2
“Channel Model for millimeter-Wave Communications Based on Geometry Statistics”, IEEE GLOBECOM 2014
0 50 100 150 200-200
-180
-160
-140
-120
-100
-80
Tx-Rx distance (m)
Pat
h l
oss
(dB
)
Reflector Mean Distance = 20 m
Proposed Model
NYU NLOS PL
Lack of data in NYU field measurement for Tx-Rx distance >150
Hi-K Metal Gate
Strained Silicon
3D Transistors
65 nm 45 nm 32 nm 22 nm 14 nm 10 nm 7nm90 nm
Intel 5G research and technology development
10
P5: Efficient Hardware/Software and Platforms
for 5G Network Elements and Devices
Intel Strategic
Research
Alliance on 5G