Download - Nemesis SON Solution
Innovile SON Solution NEMESİS
Is a correlation engine
working continuously to
detect network problems
in very short time frame
and act to handle
operational and
performance issues.
Eliminates
the repetitive
daily tasks freeing
valuable engineers
and also eliminates
potential human
errors.
Helps reduce churn by
increasing QoS.
Is a platformallowing
engineers define
their own rules to
reflect network
Characteristics
respectively.
Is Multi-Vendor
Compatible
allowing to
orchestrate the
most complex
Networks from
a unified tool.
Is Innovile’s robustand flexible SON platformAllowing the CSP’s directlyuse ready-to-use healersand start saving OPEXand CAPEX immediately.
Nemesis – Self Organizing Networks
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Configuration Consistency Audit
and Correction Module
Dynamic optimization of electric antenna
angles RET and RAN network settings
Dynamic Load Balancing
between cells
Dynamic Load Reallocation between
the carriers
Automatically configure new cells/
carriers to output them in the stream
Automatic Neighbor
Relation (3G&4G)
Dynamic optimization of
healthy sectors if
individual sectors/carriers
fail
Energy Saving Features
Nemesis – Self Organizing Networks
Ready to Use Healers
ANR
CAC
CCO
DLB
ES
ICLB
APO
SH
01ANR Automatic Neighbor Relation
Fully automated optimization of neighbor
relations for all the technologies and vendors.
Measurements and Stats are used to add and
remove neighbor relations.
02CAC – Consistency Audit and Correction
Function runs more than 200 daily consistency
check in 2G/3G/4G network and auto corrects
inconsistencies through the CM layer. .
DLB -- Dynamic reallocation of workload
between cells. Congested 2G/3G/4G cells are
identified. Based on cell and neighbor utilization
values, load is distributed among the neighbor
cells in the network.04
CCO – Coverage and Capacity Optimization
Dynamic optimization of electric antenna RET and
RAN network settings for 3G cells. Measurement
reports (GPEH/PCHR) and stats is used to find out
overshooting or undershooting cells, and change
RET and power values accordingly.
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Nemesis – Self Organizing Networks
05APO -- Automatically configures new
cells/carriers to output them in the stream.
Functions prepares site data (frequencies,
neighbors, BCCH/SC/PCI values and other
required parameters for new site.
06ICLB -- Dynamic load reallocation between the
carriers Congested 3G cells are identified.
Based on Carrier utilization values, load is
distributed among the other carriers in the same
NodeB.
07SH -- Dynamic optimization of parameters of
healthy sectors if individual sectors/carriers
fail. Function checks measurement reports and
add/remove neighbors for the healthy sectors.
If needed, power parameters are changed to
serve failed cell/site area.
08Energy Saving -- Using historic data for
prediction and capacity analysis, the function
decides which NE's can be halted/deactivated
or power parameters can be adjusted to save
energy without affecting the network
performance and quality.
Nemesis – Self Organizing Networks
View of Network Status:
Quick, at-a-glance view
Graphic interface
Real-time traffic statistics
Perform all network reports:
level performance trends
various time resolutions
Nemesis – Self Organizing Networks
Neesis –Screenshots -Dashboard
Satellite view map through thematic layers:
Show all parameter change recommendations
Show all implemented changes
Analyse : overshooting cells
neighbour relations
parameter change steps
Nemesis – Self Organizing Networks
Open SON Platform allows new projects / scenarios to be created by users.
Nemesis – New Scenario Creation
Existing Healers
Ready to Use Healers• ANR• DLB• CCO• BCCH/PSC/PCI Opt.• CAC• MRO• RACH • SH• MDT
Nemesis – Healers
Healer Settings
Open Platform allows existing healers to be configured to match
network characteristics and
special needs.
Each user can define their own scenarios
based on user permissions by network level.
Nemesis – User Defined Healers
Users can create scenarios based on all integrated data types:
• PM• CM• Trace• FM• Cell Data
Nemesis – User Defined Healers
Parameter change analysis
Nemesis – SON Action Analysis
Parameter change analysis
Nemesis – SON Action Analysis
Map – Handover Analysis
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Nemesis – Self Organizing Networks
Key Benefits
Entire process is:
iterative, schedulable, flexible and easy to control
25% savings in:
TIME and RESOURCE EFFICIENCY.
optimize NETWORK LEVEL comprehensively
get a fully automated end-to-end optimization solution,
Do Not deal at Cell Level.
PROACTIVE and PREVENTIVE actions:
Automatically set
Solve issues before they affect network performance
Gain at least 15%:
overall performance improvement at initial optimization stage
and keep optimum performance level with fully automated processes
EXPLOIT your Network Capacity:
at maximum level
with advanced traffic balancing scenarios.
