Post on 14-Apr-2018
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Ultima Mentor Power and Tilt
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Agenda
Optimization data sources
Data Modeling for pilot power and antenna tilt
optimization Optimization algorithm overview
Optimization Definitions:
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Goal configuration
Constraints and Locks
Budget
Viewing optimization progress
Reports and Layers
Provisioning and validation
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Power and Tilt Optimization Objectives
Improve network coverage and quality by
improving the mobiles RSCP and Ec/Io
Improve network capacity by balancing traffic
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Power Optimization Algorithm
Mentor predicts how power changes affect the model:
Pilot power changes influence:
EcIo of each pilot
Pilots in active set
Service area (traffic distribution)
,
can be forecasted more accurately by the model
Once the optimization can forecast the network behavior for
every possible solution, the Genetic Algorithm finds the optimal
solution
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Optimization Overview
Optimizer and Evaluator Inter-relationship:
Optimizer – responsible for suggesting different network
configurations based on Genetic Algorithms
Evaluator – Evaluates each suggested network
configuration and grades it according to the sub-goal
configuration
Optimizer Evaluator
sub-goal
grades
configurationchanges
GA
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Optimization Input Data Sources
Hardware configuration data (Antenna locations,
heights, tilt, azimuth, antenna profiles)
Network switch dumps: Network elementconfiguration (e.g., pilot and control channel power
configuration, handoff algorithm parameters,
Mobile measurements and call detailed
information (IOS Traces or GPEH files)
Network Statistics Data – KPIs based on counters,Power and Traffic Statistics
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Optimization Overview
Genetic Algorithm proposes evolving sets of Power and Tilt changes
Each proposed change is translated to changes in RSCP for all
modeled geo-located mobiles
Each such change is evaluated using a What-If Simulator that
evaluates the predicted network status after the proposed
The predicted network status is given a fitness score function (“how
good is the network in the sub-goals eyes”), which is optimized
The algorithm ends when optimization stabilizes (typically 5000 -
50000 evaluations)
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Pilot Power & Antenna Config. Change Impact
Pilot Power changes result in RSCP changes changing the powereach mobile receives
Antenna configuration changes result in changes in antenna gainsin different directions, changing the power each mobile receives
These gain changes are translated to changes in sector carrier
Pilot Power change: When increasing/decreasing pilot power by 1dB all mobiles experience the same gain/loss (1dB). (Nogeographical modeling needed – geo-locationing is not needed)
Antenna Configuration change: When changing an antenna by 1degree tilt each mobile experiences a different gain or lossaccording to its position relative to the antenna. (Geographical
modeling is needed - geo-locationing is needed)8
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Power and Tilt Optimization Wizard
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Optimization Wizard Stages
Select sectors to optimize
Select carriers
Select/Filter Model Dates to use
Configure optimization goals such as Coverage,
Quality, Capacity. Goals are statistical, optimizingselected cluster’s performance
Select parameters to optimize and their constraints
Set Budget
Run Optimization
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Selection Set and Calculation Set
The Selection Set sectors are considered to be
changed by the optimization engine
The Calculation Set is used to define the effectingand effected sectors for power and antenna
optimizations
The Calculation Set is a NL based first tier of theSelection Set
A model for power and antenna optimizations
should be based on a network with a good NLconfiguration
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Optimization Goal is composed of sub-goals
Sub-goals are divided into 2 categories
Mobile sub-goals (Improve RSCP, Improve Ec/Io) Sector Carrier sub-goals (Reduce Power Usage, Reduce
OVSF Code Usage)
Optimization Goals
The Optimizer maximizes a fitness functioncomposed of all sub-goals defined by the user
Coverage and Quality: RSCP and Ec/Io
Capacity: RSCP, Ec/Io, Power Usage, OVSF Code Usage
Customized: User defined sub-set
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Optimization Goals (Contd.)
Balance between sub-goals is automatically
calculated
Sub-Goals are converted to a continuous fitness
function
Fitness improvement is calculated relative to current
network status Fitness improvement is calculated on an area which
includes the selection set and all sectors that can be
affected by the changes
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Optimization Progress Graph – Fitnesses
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Optimization Progress Table – Qualities
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Constraints Window
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Optimization - Locks and Constraints
Environment problems which prevent cells from
being optimized:
Inactive sector – Sector is indicated as inactive
Missing data – Some information is missing for the sector
In-building antenna – Sector is defined as in-building
Multi-antenna sector carrier optimization is notsupported – sector carrier has more than one transmitting
antenna
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-
(cont.)
User locks (in Schema Format or Sector Properties):
Do not optimize power – sector carrier locked for power
Do not optimize electrical tilt – locked for e-tilt
Do not optimize mechanical tilt – locked for m-tilt
Do not optimize beam width – locked for beam width
Do not optimize azimuth – locked azimuth Definitions on cell level and constraints file
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Optimization - Locks and Constraints (cont .)
User constraints
Limiting constraints – constraints given in Wizard and/or
Schema Format are too tight
Current values do not comply to constraints – current
value violates Wizard and/or Schema Format constraints
power per sector – applicable only if “same power” optionis checked
Profile Issues
No unique profiles in antenna model – e-tilt, beam width
combination is not unique
Constant electrical tilt – This model has only one profile or
all profiles have the same e-tilt
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Optimization - Locks and Constraints (cont.)
Statistical issues (missing logs and/or KPI’s):
Low message count – sparse logs
Low message duration – sparse logs
No traffic statistics – missing traffic KPI’s
– ’
Low traffic reliability – inconsistency between traffic from
KPI’s and from logs
Low interaction rate – much of the traffic is 1-way Surrounded by sector carriers with low statistics – this
sector carrier is neighbored by another sector carrier with
statistical locks
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Budget
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Budget (cont.)
If “Limit budget” is checked, solutions that exceed
the budget limit are ruled out by the GA. Otherwise
cost is calculated only for informational purposes
Power changes are not considered at all
Access to site is considered once for each site which
is changed in any way Mechanical changes are simply summed up
Electrical changes are considered once for each site
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Optimization Progress Window
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Power Optimization Reports
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Four different reports:
Summary
Constraints Analysis
Carrier selection set statistics (Before vs. After)
Carrier calculation set statistics (Before vs. After)
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Power Optimization Changes
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Power Optimization Layer
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Power Provisioning and Validation
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Creating xml configurationfile for the updating of CPICH Power settings
Validating CPICH Power implementation examiningnew configuration files
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Summary
In this session we…
Became familiar with Mentor’s power and tilt
optimization data sources and algorithm
Reviewed the different sub-goals needed in order to
perform power and tilt optimization
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Reviewed Constraints, Locks and Budgetconsiderations
Reviewed Mentor layers and reports
Reviewed Mentor’s provisioning and validationfeatures
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