2014 LENOVO. ALL RIGHTS RESERVED.eceweb1.rutgers.edu/~csi/Love.pdf1000x 10-100x 5x 10x 1000x data...
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2014 LENOVO. ALL RIGHTS RESERVED.
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2013 LENOVO RESTRICTED. ALL RIGHTS RESERVED. This document is Lenovo restricted and intended for viewing by and distribution to only designated individuals or positions. Duplication/reproduction prohibited. 2016 Lenovo, All Rights Reserved
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3
5G Enables New User Experiences
On the go Nomadic Fixed
Critical IoT Robotic Control
HD - Video Stream .
4K - Video Stream
Modified – Original Source: GSMA
M2M
Critical IoT (Public Safety, RT* control) Challenge: Ultra reliability and low latency
communication (URLLC) + Security needed.
One of the 5G areas (eMBB, mMTC, URLLC, NEO)
AR/VR, Interactive Robotic control Challenge: Low latency, >100Mbps, Mobile.
eMBB 5G area covers these requirements
4K Video/CB office (multiple streams) Challenge: >100Mbps last mile streaming
eMBB 5G area covers these requirements
Massive IoT Challenge: 1 million devices/sqkm, low cost, secure
4.5G covers low cost/deep coverage (NB-IoT, eMTC);
5G mMTC covers 1 million devices/sqkm, security
* Industrial Real Time Control
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5G - Enabling a Hyper Connected Future
VIDEO
Modified – Original Source: GSMA 1990 2005 2015 2025
2G 3G 4G 4.5G 5G
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30 Bn
12.5 Bn
State of Mobile Operators
2015-2020: Revenue CAGR ~2% 2015-2020: Traffic CAGR ~49%
Connections
Modified – Original Source: Samsung
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UDN
Massive MIMO
Adv. Modulation and coding
Full duplex
5G Requirements and Potential Technologies
1000x 10-100x 10-100x 5x 10x
1000x data volume 50/100 B devices Up to 10Gbps Few ms E2E 10 years
Higher mobile data volumes
Higher number of connected devices
Typical end-user data rates
Lower latency Longer battery life for low-power devices
Novel multiple access
FBMC
D2D
Massive MIMO
All spectrum access
UDN
Interference C.
Novel multiple access
Short frame / signaling
Flat net, D2D
Novel multiple access
Flexible DRX
MTC
D2D
Create a new radio interface to address new spectrum and service opportunities, and support new network architectures with NFV/SDN
Source: Ericsson
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2013 LENOVO, ALL RIGHTS RESERVED.
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8
Ways to Improve Channel Capacity
Shannon’s Law
>3.5GHz
& ASA
More Bandwidth More Antennas Better SNR for HOM
Carrier Aggregation
- licensed (0.6 – 6 GHz)
- unlicensed(LAA), hybrid spectrum(ASA)
- mmWave (200+MHz contiguous BW)
3D/Full Dimension MIMO,
Massive MU-MIMO
(full time-frequency reuse per user)
Better SNR for higher order modulation:
Densification (add small cells),
advanced interference cancellation
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Massive Increase in Antennas Drives Capacity
3 to10x Capacity increase
– More antennas = narrow transmission beams
= more simultaneous high data rate users
mmWave spectrum = huge bandwidth
Gbps enabled by huge bandwidths
– 100+ antennas enables mmWave use
1.4 GHz 850 MHz 1.6 GHz 7 GHz 7 GHz
28 GHz
Bandwidth
Bands 37 39 GHz
Source: Samsung
Source : 4G Americas
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MOTOROLA MOBILITY CONFIDENTIAL
Line-Of-Sight (LOS) MIMO
• MIMO without multipath (depends on spherical propagation)
T R
Rd d
N
0
0.5
1
1.5
2
2.5
0 20 40 60 80 100
Size
oLf
Arr
ay (m
eter
s)
Distance between transmitter and receiver (meters)
LOS MIMO Array Length vs. Frequency 2 element array
1 GHz
4 GHz
16 GHz
64 GHz
• Depends crucially on – carrier frequency (wavelength λ)
– spacing of elements in the antenna arrays (dT , dR)
– distance from the transmitter to the receiver (R)
– number of elements in the array (N)
– Rank N transmission can be achieved for a one-dimensional array if the following condition is satisfied
– Rank N2 transmission can be achieved for a two-dimensional array (N2
antenna elements) if the condition is satisfied in each dimension
– Rank 2N2 transmission if two orthogonal polarizations (2N2 antenna elements)
• Becomes feasible for modest ranges at millimeter wave frequencies (e.g., 60 GHz) – Can increase spacing dT at the transmitter in order to reduce spacing dR at the receiver
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When antenna elements are embedded within a closely-spaced array, they couple − Currents on one antenna create fields which induce currents on the adjacent antennas and these induced
currents generate their own fields
− The behavior of the closely spaced array is affected by all of the following: − The circuits used to drive the array (voltage or current source, source impedance)
− Matching circuits (broadband multi-port) used to match the impedance of the array to the transmission line
− The presence/absence of isolators at the source
This coupling can significantly impact the behavior of the array by − Altering the mapping between the weighting vector applied to the array and the far-field pattern (relative to
that expected in the absence of coupling)
− Altering the mapping between the norm of the weighting
vector and the transmitted power.
− Example: two half-wavelength dipoles with half wavelength spacing − Transmit power variation shown as a function of the relative phase θ of the weights
− Transmit power varies by 1.3 dB
1
exp j
v
Impact of Mutual Coupling in Closely Spaced Arrays
1 1
2 2Weighting Coupling MatrixArrayPattern VectorCoupled Patterns Uncoupled Patterns
, ,,
, ,T T
T
q pP
q p
vv v M
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MOTOROLA MOBILITY CONFIDENTIAL
5G Channel Coding
● Design requirements
○ Flexibility on information block size and codeword size granularity
○ HARQ support (data channel) - Incremental Redundancy and Chase Combining
○ Latency (Decoding/Encoding) – impacts low latency communications
○ Performance – error floor important for ultra reliable communications
○ Implementation complexity (Area efficiency (Gbps/mm2)) – esp. important for very high data rates
○ Power consumption (Energy efficiency (J/bit)) – important for mMTC;
● Candidates
○ Turbo code
○ LDPC code
○ Convolutional code
○ Polar code
○ Outer erasure code – handle bursty interference
○ For large information block sizes, Turbo, LDPC, and Polar show comparable link performance
○ For small information block sizes, performance of Polar and convolution codes are comparable for
similar decoders
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MOTOROLA MOBILITY CONFIDENTIAL
5G Modulation
● Design requirements
○ Spectrum efficiency
○ Demodulator complexity
○ Integration with MIMO
○ Low PAPR/CM for link-budget limited scenarios – e.g., mMTC
○ Phase noise floor impacts for mmWave bands
● Candidates
○ Square QAM constellations – including high order QAM – e.g., 1024QAM for backhaul
○ Constellation shaping
○ Bit-to-symbol mapping – Gray, natural mapping
○ Coded modulation schemes – Bit-interleaved coded modulation (BICM), Multi-level codes (MLC)
● Phase-noise will restrict the maximum modulation order for mmWave bands
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Densification with mmWave Small Cells – Tokyo example
>1 Gbps average t-put !
small cells: 100m ISD and carrier aggregation:
– 160 MHz (<6GHz) – multiple bands
– 200 MHz (>6GHz) – 1 band
– 100 Mbps cell edge (5%-ile) t-put
BUT: how to carry the data back from each cell site?
– Backhaul/Fronthaul challenge
– Wired/Wireless backhaul
–73GHz 1Gbps backhaul-2hop
Source: Nokia
1 km
1 k
m
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2015 Lenovo Confidential. All rights reserved.
4G vs 4.5G vs 5G - Expected Capacity for Mobile Broadband 4 Trends (increases capacity & average and peak data rates to handle 6x data usage increase every 5 years)
- More Bandwidth (via aggregation)
- 5 carrier aggregation - 2010;
- 32 carrier aggregation - 2015; 4.5G (<=2.5GHz, 3.5GHz, 4GHz, 5.8GHz)
- 200+ MHz contiguous BW (pre operator) by 2022 for 5G at mmWave - More small cells (densification - started back in 2010 but taking off only now in 2016 - backhaul key)
Moving content to the edge enabling low end-to-end latency (leverage 1ms 5G radio network latency) - More antennas (Full Dimension MIMO - 3D beamforming → 3 to 10x capacity improvement)
- FD-MIMO with up to 32 antennas at eNB and 4 rx antennas at UE is 4.5G (below 6GHz)
- FD-MIMO with >100 eNB antennas & 32 UE antenna elements is 5G (above 6GHz) Tables below Highlight the 4 trends in terms of Increase in average & top 10%-ile data rates for 4x 2015 network load (4.5G)and 10x 2015 network load (5G). Lower latency trend especially regarding 5G highlighted.
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Not just PHY
OPEX and other considerations
• Flexible Network architecture
(virtualization/slicing)
• Control and User plane split
• Connection-less operation
• Energy efficiency
• Multi-connectivity
• multi site
• multi RAT
Source: METIS 2020, D6.4, 2015
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17
Wireless and Wireline (Telco) Network Virtualization
Proprietary SW on Proprietary HW
Telco operators adopt Google/Amazon approach of virtualized + commoditized HW
OpenSource SW on Commodity HW
Source: Intel
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18
Optimizing Mobile Network & User experience via Big Data analytics
– Big ‘signaling/traffic/location/waveforms/heterogeneous’ Data
– Big policy data: M&A different types of data for generating NW analytics for determining policy
Wireless + Big data (Optimize NW & User Experience)
SOURCE: Ying He et al, “Big Data Analytics in Mobile Cellular Networks”, IEEE Access, May 11, 2016
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IoT – Internet of Things
Today IoT is set of disconnected systems
– many short range communications techniques (RFID, Bluetooth, UWB, … )
5G provides unified framework for seamless connections
– Smart city is now enabled (e.g.)
wearables
home
office eHealth
critical infrastructure
transportation
data center
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Promise of 5G – Underpinning future technologies
• 5G (NR) connectivity will support large range of devices and use cases from IoT to mobile VR/AR gaming.
• 5G leverages 4.5G low cost IoT radio access designs (NB-IoT, eMTC) to support 1 million IoT dev/sqkm
• 5G to continue trend of MNO use of unlicensed (WiFi) spectrum with built-in 5G (NR) support
• Moving content to the edge + 1ms 5G radio NW design enabling low 10ms end-to-end latency
• Radio and Network Architecture flexibility to drive down cost & better address new markets & use cases
• Network slicing and other virtualization support will be built into the 5G network design faster NW innovation
• Virtualization-slicing + big data analytics allows anticipating per user connectivity needs with customized services.
• 5G will enable low latency 100 Mbps services anywhere (5%-ile c.e. t-put) in the network which requires :
• aggregation of ~ 300 MHz of spectrum
• e.g. 160 MHz of licensed and unlicensed spectrum below 6 GHz (600 MHz – 6 GHz)
• 200+ MHz of >6 GHz contiguous spectrum which can achieve up to 10 Gbps in small cell scenarios,
• massive MU-MIMO support (in 2.5 GHz to millimeter wave bands)
• small cell optimization with built-in backhaul support (e.g. backhaul built into frame structure)
• flexible frame structure design enabling low latency and optimization for known & unknown use cases
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5G (NR) Timeline and Status
5G Stds Kickoff Sep 15
1 Apr 16 5G SI start
1 Apr 17 5G WI starts
5G SPEC R1 Dec 19
5G Commercial
~2021
Oct 14 Lenovo/MM
5G Team
5G Study Item 5G Phase 1
2016 2017 2018 2019
NSA SA
NSA 5G SPEC Dec 18
SA 5G SPEC Jun 18
5G Phase 2
“Early 5G”Last Mile Streaming Video
NSA 4G CORE
5G Commercial Est. Dates
SA 5G CORE
Phase 2 R1 SPEC
R13 R14 R15
WRC
• Early non-standalone (NSA) version slated for completion in Dec 2017 • Standalone (SA) Phase 1 version slated for completion in June 2018. • Phase 2 completion of 5G is targeted for Dec 2019. Expected Pre-commercial and commercial dates are also given including plans for early ‘5G’ rollout for fixed wireless last mile internet video streaming in June 2017.
eMBB + low latency only
eMBB, URLLC, Massive MTC, NEO
Korea Japan mmWave Spectrum
R16
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