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7/31/2019 Bernard Breton- Mentum- Network Planning
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Optimizing CAPEX and Ongoing
OPEX Through Optimal Planning ofLTE Network Rollout
COO & CSO - Mentum
LTE World SummitAmsterdam May 2010
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Agenda Improving Capacity
Minimizing Rollout Cost Conclusion
2
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About Mentum
Innovator in 4Gtechnolo ies
Mentum is a global leader in wireless networkdesign and optimization
250+ customers in 90+ countries
3
First to market for LTEand WiMAX networkplanning solutions
Complete product andservice offering focusedon wireless planning
LTE Readiness
Programme3
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LTE is About Capacity Mobile data usage is
expected to double
each year for thenext five years
Mobile video is the
4
largest and fastestgrowing service,followed by access
to the world wideweb
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And Cost
5
Sources: Cisco Visual Networking Index, 2009; Pyramid Research
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LTE Network Lifecycle
Initial network decisionswill have a long lastingimpact on the network
NetworkAutomation
NetworkOptimization
NetworkManagement
Network
66
Design Quality Operational Efficiency
Planning
StrategicPlanning
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LTE Network Lifecycle
Better
Design
Higher
Cell
Density
Better design leads tobetter CINR
Cells closer to end-user
for greater capacity &CINR
77
ImprovedCapacity
Increased
Bandwidth
Better
Equipment
Improved spectralefficiency & greaterspectral real estateAntenna systems & ICIC
can improve spectralefficiency
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Network Cost Considerations Better network
design is the most
affordable way toimprove capacity
Increased cell$25
$30
$35
Increasedspectrum
8
count andspectrum offer thegreatest capacity
gains but at ahigher cost
$0
$5
$10
$15
$20
0% 10% 20% 30% 40% 50% 60%* Based on 20% of radio planners focused on LTE network design using bestpractices and state-of-the-art planning products** Cost completely driven by politics and hence, cannot be estimated
*** Based on replacement of 20% of the antennas, deployment of MIMO 2x2 andICIC**** Based on 25% increase of cell count and a 0.1% femtocell penetration rate
Better network design
Better network equipment
Increased cell density
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Estimating Network Capacity Network capacity is a
direct function of
Bandwidth Signal-to-noise ratio
LTE can exploit highsi nal-to-noise ratios to Reduced round-trip delay
Fast Hybrid ARQ(with Soft Combining)
D namicall shared in time s ace-time
Shared Channel Transmission
Fast Radio ChannelDependent Scheduling
Fast Link Adaptation
Higher-order Modulation
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deliver higher datarates Higher order modulation MIMO
Adaptive time &frequency scheduling And more...
& code/frequency domaine.g. scheduling of users on2 ms time basis
Data rate adapted to radio conditions
16/64QAM in complement to QPSK forhigher peak bit rates
Reduced round-trip delay
Short TTI
x ms
AMC and fast-channel feedback
Link Adaptivity
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Capacity Assessment There is a tremendous
gap between
theoretical capacity andthe capacity of a real-world network
Design quality
50.00%
60.00%
70.00%
Initial Network
Tilts optimized
Tilts & 20% azimuths optimized
Tilts & azimuths optimized
50.00%
60.00%
70.00%
Initial Network
Tilts optimized
Tilts & 20% azimuths optimized
Tilts & azimuths optimized
10
Site location Interferencemanagement
Technology and
equipment decisionsalso influence capacitymaterially (E.g. pertechnology e-Tiltantennas)
0.00%
10.00%
20.00%
30.00%
40.00%
0 5 10 15 20 25 30 35Average Maximum Achievable Data Rate (mpbs)
0.00%
10.00%
20.00%
30.00%
40.00%
0 5 10 15 20 25 30 35Average Maximum Achievable Data Rate (mpbs)
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Capacity is CINR Driven Achieved CINR is
largely influenced by
network planningdecisions Good planning leads
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better capacity
Better throughputleads to better CINR
as pay-loadgenerates lessinterference
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The Virtuous Circle of GoodDesign...
Better CINR =
BetterCapacity
Each User
Uses Less
Resources
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Less
Interference
= Better CINR
Less
Resources
= Less
Interference
The Virtuous Circle
of Good Design
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Is Also the Vicious Circle ofBad Design
Worse CINR =Less
CapacityEach User
Uses More
Resources
13
More
Interference
= Worse CINR
More
Resources
= More
Interference
Is Also the Vicious
Circle of Bad Design
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Demand-Focused DesignTraffic Hot Spot
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Initial network Optimized Design
Spectral efficiency = 1.57 bit/Hz Spectral efficiency = 1.85 bit/Hz(17.5% gain)
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Users are Indoors 70% of the demand is
indoors
Network optimizationis optimal when, andonly when, performed
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occurs
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GroundGround
Low traffic pollution
Medium traffic pollution
High traffic pollution
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20m20m
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Low traffic pollution
Medium traffic pollution
High traffic pollution
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40m40m
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Low traffic pollution
Medium traffic pollution
High traffic pollution
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1:1 Overlay
Each NodeB is overlaidwith an eNodeB
Simple rollout, limited
Demand-Focused RolloutProgressiveDeployment
eNodeBs are overlaidon the basis of demandand coverage
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High cost, large-scalespectrum refarmingrequirements
Makes a lot of sense forHSPA when a carrier isshared with WCDMA
Network is pre-optimized prior to rolloutto identify bestconfiguration & sites
Site densification &coverage expansionwhen demand justifies it
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Rollout Cost
X
Initial roll-out is drivenby existing networkrather than demand
Site densification &
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CAPEX+OP
Time
DEMAN
Initial demand is initiallyvery low
1:1 Overlay Progressive overlay LTE Demand
optimization required toovercome poordesign
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Network Capacity
21
CAPACIT
Time
DEMAN
1:1 Overlay Progressive overlay LTE Demand
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No One-Size Fit All Approach Strategic decisions
related to LTE
introduction critical toidentify optimal rolloutstrategy
22
Target market First or late to market
with LTE Competitive
landscape Network sharing &
roaming agreements Etc...
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Conclusion LTE is about capacity and cost
LTE offers several ways to increase networkcapacity
Improvement of capacity does not come free
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it comes to improving capacity
Optimal rollout can ensure cost tracks revenueand network planning is key to optimal rollout
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Questions?
LTE
Next Generation LTE Network Planning Solution
24
2010 LTE World Summit Bronze SponsorMay 18th-19th 2010, AmsterdamVisit Mentum at Stand No. 29
www.mentum.com