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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
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
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
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

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
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.)
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
Services in Use
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
 λ = 3min for sound and multimedia
 λ = 0.1min for narrow band
 λ = 30min for wide band
 Simulated environment; Mexican Airport, Los Cabos
 Internal area: 8500square meter
 Omini Directional antenna
 Capacity fixed on seven traffic channel
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)
Simulation Model Validation
 Validate model(extreme condition test); test result in extreme input
condition
 1sT: Minimun network capacity 2nd condition: Maximun network capacity
Scenario Analysis
 Output of simulation model
 Data rates:
Sound:12Kb/s
Multimedia:128Kb/s
Narrowband:384Kb/s
Wideband:1920Kb/s
Optimization
 Number of users accessing different services
 Data rate of each services
 Annual profit
Fixed Cost: Cost to government (license fee)
Cell cost : Installation cost, operation cost and maintenance cost
Conclusion
 Optimal cost effective network design
 Satisfy in-building coverage
 Minimum annual benefit 20%
 22 cells
 Data rate 12,128,384 and1920 Kb/s
 Maximun benefit 46.6%

PICS OF INDOOR BTS
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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
  • 9.
  • 11.
  • 12.
  • 13.
  • 14.
  • 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
  • 25. Conclusion  Optimal cost effective network design  Satisfy in-building coverage  Minimum annual benefit 20%  22 cells  Data rate 12,128,384 and1920 Kb/s  Maximun benefit 46.6% 
  • 27.
  • 28.