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Cellular network planning process for in building coverage using simulation
1. OPTIMIZING THE CELLULAR
NETWORK PLANNING PROCESS
FOR IN-BUILDING COVERAGE
USING SIMULATION
Presentation By:
Amarendra K Yadav
Roll Number:1
Faculty: Msc Ise
Presentation to:
Prof. Dr. Surendra Shrestha
2. Outlines
Introduction and development of GSM
Global Telecommunication Scenario
Mexico telecommunication Scenario
Cellular Network Planning
Discrete Event Simulation
Simulation Model Development
Input Data Analysis
Simulation model results
Conclusion
3. Introduction and development of GSM
Cellular technologies started in 1970s
Every decade technology has changed
1G started from Tokoyo(Japan)
1G system was speech service
Analog transmission technique
Early 1990, 2G came into use
Voice mail, text message call waiting facility available along with voice service
Low cost
Open standard allowed easy interoperatibility
3G developed to overcome 2G drawbacks
High speed data and multimedia connectivity
CDMA, UMTS, EDGE technology
High speed data range from 144kbps – 2Mbps
4. Global Telecommunication Scenario
Global mobile subscribers increasing vertiginously
In 2011, mobile subscriber reached 3.9 Billion and 5.8 Billion in China and India
respectively
China and India with most number of user accounted to 40% of global user
5. Mexico Telecommunication Scenario
Mobile subscribers keep increasing
64,000 in 1990, to 95 million in 2011
Increase of 1500%
Network traffic also had exponential growth
Voice traffic also increased
6. Cellular Network Planning
Need for Network optimization
Cost effective network design
Continuous network coverage
Traditional model of mobile network formed by hexagonal cell
Each hexagonal cell represent ideal coverage of 3 sector antenna
Coverage model can be circle incase of Omni directional antenna
Cell can be Macro, Micro or Pico
Macro cell; high transmission power and bigger coverage(outdoor coverage)
Micro cell; small transmission and small coverage(inside buildings like shopping malls)
Pico cell; small transmission and small coverage(meeting room etc.)
7.
8. Discrete Event Simulation
Discrete Event Simulation (DES); simulation modeling paradigm to analyze the complex
system behaviors
System state variables changes only at discrete set of points
Event, activity and process form basis of conceptual framework
Conceptual model developed through computer modeling
Computer modeling developed through model coding phase
15. Simulation Model Development
Network design depends on traffic generated, offered price of service
by network operators
Develop simulation model
Model developed using DES approach
Four services have been assumed( sound, multimedia, narrow band
wide band)
Each service is processed with exponential probability distribution
16. λ = 3min for sound and multimedia
λ = 0.1min for narrow band
λ = 30min for wide band
17. Simulated environment; Mexican Airport, Los Cabos
Internal area: 8500square meter
Omini Directional antenna
Capacity fixed on seven traffic channel
18. Simulation Model results
Simulation model of telecom network are non-terminating system
Simulation runs executed from t=0 in steps of 5 days
MspE(Mean square pure error) analyzed from simulation which
represents experimental error(uncontrolled and unavoidable
simulations)
19.
20. Simulation Model Validation
Validate model(extreme condition test); test result in extreme input
condition
1sT: Minimun network capacity 2nd condition: Maximun network capacity
21.
22. Scenario Analysis
Output of simulation model
Data rates:
Sound:12Kb/s
Multimedia:128Kb/s
Narrowband:384Kb/s
Wideband:1920Kb/s
23. Optimization
Number of users accessing different services
Data rate of each services
Annual profit
24. Fixed Cost: Cost to government (license fee)
Cell cost : Installation cost, operation cost and maintenance cost