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Ericsson Internal | 2018-02-21
Agenda
• Introduction 10 minutes Jose Alonso
• Planning and design process 40 minutes Yak Ng Molina
• Physical Channels Capacity
Planning
40 minutes Peter Nikolov
• 5G scheduling​ 40 minutes Heegul Park
• Mobility 40 minutes Francesco Pace
• Elastic RAN (AI based) design 20 minutes Jorge Luque
• 5G Planning and ​
Design
Highlights
20 minutes Petteri Hakalin
• Q&A 20 minutes All
Planning and design
process
• Process Description
• Link budget
• Reference Cases
Process Description
2019-07-03 | | Page 4
Phase 1: Service Setup
5G on Mid-bands
Dual connectivity with
5G on mid bands
Shared low
bands
Increased coverage
for wide-area &
outside in coverage
5G on High
bands
Increased capacity
and ultra low latency
Shared mid bands
Maximal coverage,
capacity and cell edge
performance
High bands (24 GHz – 40 GHz)
Mid bands (3.5 GHz – 8 GHz)
Mid bands (1 GHz – 2.6 GHz)
Low bands (sub –1 GHz)
Dual connectivity
Spectrum sharing
Carrier aggregation
Performance characteristics
Baseline
Capacity and coverage
Cell edge performance
Capacity/Speed
Latency
2G +3G 4G 5G 4G+5
G
Cell edge performance
Capacity/Speed
Latency
Cell edge performance
Capacity/Speed
Latency
Cell edge performance
Capacity/Speed
Latency
Cell edge performance
Capacity/Speed
Latency
Discussing the spectrum strategy
2019-07-03 | | Page 5
• 4G and 5G in mid-low bands, same coverage area
• Both technologies share the same radio site,
connected to the existing Core network
• Example of use cases: eMBB, FWA in wide areas
• 4G in low bands and 5G in high-bands, different coverage
areas
• 5G radios may be deployed in new site as needed
• Both technologies are connected to the existing Core
network
• Example of use cases: eMBB, FWA in selected areas
• Initial 5G deployments in low bands, benefit from
larger coverage areas
• New 5G radio sites, connected to the new 5G Core
• Example of use cases: eMBB, FWA, Industrial IoT
Non-standalone in low-mid bands
Non-standalone in mid-high bands
Standalone 5G
Phase 1: Service Setup
4G in low-mid bands 5G low-mid bands 5G in high bands
1
2
3
Different deployment strategies
2019-07-03 | | Page 6
Accurate AAS Modeling
Individual beamforming and traffic pattern files are imported into the planning
tool.
Beamforming technology enables the use of a single antenna to address different
problems by configuring the broadcast beams to address different scenarios
e.g. macro, hotspot or high rise.
Antenna VH pattern
(from AAS vendor )
Broadcast patterns
- including beamswitching
(from AAS vendor)
High-rise (HPBW:
H = 20°, V= 30°)
Macro (HPBW:
H = 65°, V= 10°)
Hotspot (HPBW:
H = 65°, V= 30°)
Tilt = A Tilt = B
Beamforming patterns by tilt
Phase 1: Service Setup
2019-07-03 | | Page 7
Based on network observations we can see
how traffic increases on network level
Investigate type of traffic
• Bursty (less good for MU-MIMO)
• Mobility in the cell (less good for MU-
MIMO)
Network segmentation will also show cells
with capacity constrain today
Apply growth will show how many cells that
are exposed for capacity constrains over time
when traffic grow
Phase 2: LTE Assessment
Traffic growth and type 2 years observation
2019-07-03 | | Page 8
•Site list
•Sector configuration
•Power split
CM data
•Air Interface limitations: PRB usage,
Scheduling Entities, PDCCH CCEs
•KPI correlations: Rank and modulation
usage, spectral efficiency, user
throughput, active users, RRC
connections, average CQI…
PM data
•Geolocation
•User spread
CTR data
Phase 2: LTE Assessment
Capacity analysis (II) - Methodology
Traffic map
KPIs correlations
Decision Tree
2019-07-03 | | Page 9
Phase 3: eMBB Nominal design
Link Budget – Radio dimensioning
process
— Usually the objective is to find the cell
range where quality requirements are
met
— e.g. Uplink and downlink bitrates
— Can also set cell range and calculate
bitrates.
— More common with overlay
network designs
— A Link Budget is used for coverage
— The Ring Method is used for Capacity
and throughput profile analysis
Finding the cell range is
automated in RNPT eMBB
using the Cell Range Solver
2019-07-03 | | Page 10
Phase 3: eMBB Nominal design
Problem areas
Identification of issues per pixel to
be addressed including severity:
— Coverage hole
— Congestion hotspot
— Street-level
— Indoor
— High-rise
Candidates
— Which frequency band?
— Which RAT?
— Which solution &
scenario?
Ranking
Weighting each of the candidate locations & solutions
against technical and business criteria (candidates
with higher impact are ranked first):
— Coverage improvement (% traffic covered)
— Capacity (cell capacity increase, MU-MIMO utilization
%)
— Performance (SINR / throughput)
— Cost (specific location & solution)
2019-07-03 | | Page 11
Phase 4: eMBB Site selection
Final selection
Choosing the final group of candidates to be deployed, from the total list that
is generated by ranking solutions according to their performance impact
(higher impact first), makes it possible to balance between performance &
business criteria
Hotspot 1
NR M
-MIMO
NR 4T4R
High rise 1
NR M
-MIM
O Cost
Performance
LTE sm
all cell
Macro 1
NR M-MIMO
Hotspot 2
NR M
-MIMO
High rise 3
NR M-MIMO
Hotspot 3
NR M
-MIMO
Scheduling in NR
What has been changed and updated
Ericsson Internal | 2018-02-21
Updates in NR scheduling
— Based on Use cases : URLLC, eMBB
— Prioritized SR
— Flexible HARQ timing
— Configurable parameters(K0,K1,K2,K3) can handle low latency
— Scheduling for Low latency support
— Front-loaded reference signals and control signaling – not using time interleaving
across OFDM symbols device can start decoding without buffering
— Mini-slot transmission(K0)
— Transmission over a fraction of a slot
— HARQ acknowledgement, approximately one slot(even less depending on UE
capability)(K1)
— UL grant to PUSCH(K2)
Ericsson Internal | 2018-02-21
Updates in NR scheduling
Beamforming is heavily used in NR, Beam centric design and multi-antenna
transmission
In High frequency band, it extends coverage
Lower-frequency band, full dimensional MIMO
Aiming for beamforming gain(SNR) and spatial multiplexing gain
Channels and signals have been designed for beamforming, SSB, RACH, no
CRS
Beam Failure Recovery
Prioritized Random Access
Beam Failures, Handover
Power ramping, Back-off  Faster
SNR
Cap SNR

C
SNR

C
C = log2(1 + SNR)
(bits/s/hz)
<
Increase capacity using
spatial multiplexing gain
Ericsson Internal | 2018-02-21
Updates in NR scheduling
Large transport block size  performance degradation in retransmission in LTE
Code Block Group(CBG)based transmission in NR provides finer granularity, various QoS
supporting(preemption)
Asynchronous and adaptive UL HARQ
Scheduling of Reference signals
Lean design
On-demand reference signals for time/frequency offset tracking, beam fine tuning
No CRS, beamformed, Channel becomes concrete mMIMO
BWP(Bandwidth Part)
To support UE that doesn’t support full-BW
Ericsson Internal | 2018-02-21
Scheduling functions
Priority handling between UEs
Priority handling between logical channels
Channel dependent dynamic scheduling to combat frequency selective fading, distance
dependent pathloss and random interference variations and to maximize spectral efficiency
Inputs
BSR, SR, CQI, RI, PMI, UL SINR, BLER, Orthogonal factors for MU-MIMO, age of packets, UE
throughput, QoS requirements for DRBs, Doppler spread
Decisions
Resource allocations(Frequency, time, beam(space)), MCS, Transmission mode(including SU
or MU MIMO), Tx Power
Scheduler Mid-Band
Feature number: FAJ 121 4906
- 50 connected users
Ericsson Internal | 2018-02-21
Background
Capacity of Ericsson’s NR product is increasing for meeting customer demands.
18.Q4:
Support 5 connected users
Schedule 1 UE’s DL data transmission and 1 UL data transmission
Each user’s DL data transmission contains 1 radio data bearer
19.Q2:
Support 50 connected users
Schedule up to 2 user’ DL data transmission and/or up to 2 UL data transmission
Each user DL data transmission contains up to 2 radio data bearers
Ericsson Internal | 2018-02-21
Feature Overview
This feature enables the following functionality:
Allow maximum 50 Users to connect an NR gNB
Scheduler schedules up to 2 user’ DL data transmission and/or up to 2 UL data transmission
Each user DL data transmission contains up to 2 radio data bearers
Resource fair algorithms is used for UE scheduling priority decision
SU MIMO for resource allocations
No configuration related parameter to be added/removed/modified
No performance management parameter to be added/removed/modified
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5G planning ericsson tier one customer journety

  • 1. Ericsson Internal | 2018-02-21 Agenda • Introduction 10 minutes Jose Alonso • Planning and design process 40 minutes Yak Ng Molina • Physical Channels Capacity Planning 40 minutes Peter Nikolov • 5G scheduling​ 40 minutes Heegul Park • Mobility 40 minutes Francesco Pace • Elastic RAN (AI based) design 20 minutes Jorge Luque • 5G Planning and ​ Design Highlights 20 minutes Petteri Hakalin • Q&A 20 minutes All
  • 2. Planning and design process • Process Description • Link budget • Reference Cases
  • 4. 2019-07-03 | | Page 4 Phase 1: Service Setup 5G on Mid-bands Dual connectivity with 5G on mid bands Shared low bands Increased coverage for wide-area & outside in coverage 5G on High bands Increased capacity and ultra low latency Shared mid bands Maximal coverage, capacity and cell edge performance High bands (24 GHz – 40 GHz) Mid bands (3.5 GHz – 8 GHz) Mid bands (1 GHz – 2.6 GHz) Low bands (sub –1 GHz) Dual connectivity Spectrum sharing Carrier aggregation Performance characteristics Baseline Capacity and coverage Cell edge performance Capacity/Speed Latency 2G +3G 4G 5G 4G+5 G Cell edge performance Capacity/Speed Latency Cell edge performance Capacity/Speed Latency Cell edge performance Capacity/Speed Latency Cell edge performance Capacity/Speed Latency Discussing the spectrum strategy
  • 5. 2019-07-03 | | Page 5 • 4G and 5G in mid-low bands, same coverage area • Both technologies share the same radio site, connected to the existing Core network • Example of use cases: eMBB, FWA in wide areas • 4G in low bands and 5G in high-bands, different coverage areas • 5G radios may be deployed in new site as needed • Both technologies are connected to the existing Core network • Example of use cases: eMBB, FWA in selected areas • Initial 5G deployments in low bands, benefit from larger coverage areas • New 5G radio sites, connected to the new 5G Core • Example of use cases: eMBB, FWA, Industrial IoT Non-standalone in low-mid bands Non-standalone in mid-high bands Standalone 5G Phase 1: Service Setup 4G in low-mid bands 5G low-mid bands 5G in high bands 1 2 3 Different deployment strategies
  • 6. 2019-07-03 | | Page 6 Accurate AAS Modeling Individual beamforming and traffic pattern files are imported into the planning tool. Beamforming technology enables the use of a single antenna to address different problems by configuring the broadcast beams to address different scenarios e.g. macro, hotspot or high rise. Antenna VH pattern (from AAS vendor ) Broadcast patterns - including beamswitching (from AAS vendor) High-rise (HPBW: H = 20°, V= 30°) Macro (HPBW: H = 65°, V= 10°) Hotspot (HPBW: H = 65°, V= 30°) Tilt = A Tilt = B Beamforming patterns by tilt Phase 1: Service Setup
  • 7. 2019-07-03 | | Page 7 Based on network observations we can see how traffic increases on network level Investigate type of traffic • Bursty (less good for MU-MIMO) • Mobility in the cell (less good for MU- MIMO) Network segmentation will also show cells with capacity constrain today Apply growth will show how many cells that are exposed for capacity constrains over time when traffic grow Phase 2: LTE Assessment Traffic growth and type 2 years observation
  • 8. 2019-07-03 | | Page 8 •Site list •Sector configuration •Power split CM data •Air Interface limitations: PRB usage, Scheduling Entities, PDCCH CCEs •KPI correlations: Rank and modulation usage, spectral efficiency, user throughput, active users, RRC connections, average CQI… PM data •Geolocation •User spread CTR data Phase 2: LTE Assessment Capacity analysis (II) - Methodology Traffic map KPIs correlations Decision Tree
  • 9. 2019-07-03 | | Page 9 Phase 3: eMBB Nominal design Link Budget – Radio dimensioning process — Usually the objective is to find the cell range where quality requirements are met — e.g. Uplink and downlink bitrates — Can also set cell range and calculate bitrates. — More common with overlay network designs — A Link Budget is used for coverage — The Ring Method is used for Capacity and throughput profile analysis Finding the cell range is automated in RNPT eMBB using the Cell Range Solver
  • 10. 2019-07-03 | | Page 10 Phase 3: eMBB Nominal design Problem areas Identification of issues per pixel to be addressed including severity: — Coverage hole — Congestion hotspot — Street-level — Indoor — High-rise Candidates — Which frequency band? — Which RAT? — Which solution & scenario? Ranking Weighting each of the candidate locations & solutions against technical and business criteria (candidates with higher impact are ranked first): — Coverage improvement (% traffic covered) — Capacity (cell capacity increase, MU-MIMO utilization %) — Performance (SINR / throughput) — Cost (specific location & solution)
  • 11. 2019-07-03 | | Page 11 Phase 4: eMBB Site selection Final selection Choosing the final group of candidates to be deployed, from the total list that is generated by ranking solutions according to their performance impact (higher impact first), makes it possible to balance between performance & business criteria Hotspot 1 NR M -MIMO NR 4T4R High rise 1 NR M -MIM O Cost Performance LTE sm all cell Macro 1 NR M-MIMO Hotspot 2 NR M -MIMO High rise 3 NR M-MIMO Hotspot 3 NR M -MIMO
  • 12. Scheduling in NR What has been changed and updated
  • 13. Ericsson Internal | 2018-02-21 Updates in NR scheduling — Based on Use cases : URLLC, eMBB — Prioritized SR — Flexible HARQ timing — Configurable parameters(K0,K1,K2,K3) can handle low latency — Scheduling for Low latency support — Front-loaded reference signals and control signaling – not using time interleaving across OFDM symbols device can start decoding without buffering — Mini-slot transmission(K0) — Transmission over a fraction of a slot — HARQ acknowledgement, approximately one slot(even less depending on UE capability)(K1) — UL grant to PUSCH(K2)
  • 14. Ericsson Internal | 2018-02-21 Updates in NR scheduling Beamforming is heavily used in NR, Beam centric design and multi-antenna transmission In High frequency band, it extends coverage Lower-frequency band, full dimensional MIMO Aiming for beamforming gain(SNR) and spatial multiplexing gain Channels and signals have been designed for beamforming, SSB, RACH, no CRS Beam Failure Recovery Prioritized Random Access Beam Failures, Handover Power ramping, Back-off  Faster SNR Cap SNR  C SNR  C C = log2(1 + SNR) (bits/s/hz) < Increase capacity using spatial multiplexing gain
  • 15. Ericsson Internal | 2018-02-21 Updates in NR scheduling Large transport block size  performance degradation in retransmission in LTE Code Block Group(CBG)based transmission in NR provides finer granularity, various QoS supporting(preemption) Asynchronous and adaptive UL HARQ Scheduling of Reference signals Lean design On-demand reference signals for time/frequency offset tracking, beam fine tuning No CRS, beamformed, Channel becomes concrete mMIMO BWP(Bandwidth Part) To support UE that doesn’t support full-BW
  • 16. Ericsson Internal | 2018-02-21 Scheduling functions Priority handling between UEs Priority handling between logical channels Channel dependent dynamic scheduling to combat frequency selective fading, distance dependent pathloss and random interference variations and to maximize spectral efficiency Inputs BSR, SR, CQI, RI, PMI, UL SINR, BLER, Orthogonal factors for MU-MIMO, age of packets, UE throughput, QoS requirements for DRBs, Doppler spread Decisions Resource allocations(Frequency, time, beam(space)), MCS, Transmission mode(including SU or MU MIMO), Tx Power
  • 17. Scheduler Mid-Band Feature number: FAJ 121 4906 - 50 connected users
  • 18. Ericsson Internal | 2018-02-21 Background Capacity of Ericsson’s NR product is increasing for meeting customer demands. 18.Q4: Support 5 connected users Schedule 1 UE’s DL data transmission and 1 UL data transmission Each user’s DL data transmission contains 1 radio data bearer 19.Q2: Support 50 connected users Schedule up to 2 user’ DL data transmission and/or up to 2 UL data transmission Each user DL data transmission contains up to 2 radio data bearers
  • 19. Ericsson Internal | 2018-02-21 Feature Overview This feature enables the following functionality: Allow maximum 50 Users to connect an NR gNB Scheduler schedules up to 2 user’ DL data transmission and/or up to 2 UL data transmission Each user DL data transmission contains up to 2 radio data bearers Resource fair algorithms is used for UE scheduling priority decision SU MIMO for resource allocations No configuration related parameter to be added/removed/modified No performance management parameter to be added/removed/modified

Editor's Notes

  • #5: Talk points: In general terms, different frequencies determine the coverage area…not necessarily the technology. In this slide we try to illustrate 3 typical scenarios expected to be somewhat common: 1) when both 4G and 5G radios are deployed in the same frequency, meaning that both will have very similar coverage area, 2) when 4G is deployed low frequencies, while 5G is deployed in high frequencies. This will make 5G coverage smaller than 4G coverage for example 3) when 5G standalone is deployed in low bands for example, with no related 4G coverage (i.e. at least not integrated with 5G network). These 3 cases can help us to draw some conclusions described in the slides in terms of deployments examples: 1) using non-standalone 5G, same coverage area as 4G, where all the sites can be physically collocated. 2) non-standalone 5G, different coverage area, where 4G and 5G sites will be majority collocated as case 1, but also few 5G radios would be needed to be deployed in between 4G sites, as smaller coverage leads to holes that sometimes need to be covered for specific reasons. 3) standalone 5G, which is not integrated with 4G, will require dedicated deployment