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Modelling Interfernce for Wireless LTE
        networks in OPNET

Studienarbeit Kick off Presentation

    Vivek Tyagi (21152475)
  vivek.tyagi@tu-harburg.de
Agenda
•   Background and Impulse towards topic
•   Project Description
•   Milestones planning
•   Progress So far
•   Further Enhancements (TBD)
•   Discussion


                  Institute of Communication Network
                            ComNets@tuhh.de            2
Background and Impulse towards
               topic
Any wireless signal is usually affected from
• Attenuation over distance
• Doppler shift
• Multipath fading
• Interference (Missing)

All are required for analysis and optimization
 of the performance of wireless networks

                  Institute of Communication Network
                            ComNets@tuhh.de            3
Background and Impulse towards
                topic
•   LTE advanced – Frequency reuse factor 1
•   All frequency resources used in all eNBs
•   Leads to high amount of Interference
•   Interference based coordination /scheduling
    required.




                   Institute of Communication Network
                             ComNets@tuhh.de            4
Arbeit Description

• Modeling of interference in ComNets LTE model
  for performance analysis of simple scenario.
• Scenario:-
  –   Two eNBs
  –   One UE per Base station
  –   Square topology
  –   Both Base stations uses same band (100%)
       • Without user mobility
       • With user mobility

                        Institute of Communication Network
                                  ComNets@tuhh.de            5
Arbeit Description
• Modules affected
  – Mobility Model : For Topology and movement
    design
     • SINR calculation




     • RPL(others) is missing

                     Institute of Communication Network
                               ComNets@tuhh.de            6
Arbeit Description
– MAC Scheduler : For performance analysis of
  various current scheduling algorithms
   •   Blind Equal Throughput
   •   Maximum Throughput
   •   Proportional Fair
   •   Optimized Service Aware




                    Institute of Communication Network
                              ComNets@tuhh.de            7
Arbeit Description




    Institute of Communication Network
              ComNets@tuhh.de            8
Progress So Far
•   Understanding of OPNET simulator
•   Understanding of Mobility Model
•   Understanding of MAC scheduler
•   Proposal for changes in Mobility Model
    – For topology
    – For mobility



                     Institute of Communication Network
                               ComNets@tuhh.de            9
Milestones TBD

March     • 15th March : Code implementation of 2 eNB scenario
          • 30th March : Code validation and Test Runs




April
          • 15th April : Collection of Results
          • 20th April : First Interim Report Discussion
          • 30th April : Calibration/Enhancement of Model
          • 15th-30th April : Parallel Report Writing




          • 7th May : Comparison of results to a standard model(3GPP)


May       • 15th May : Detailed Analysis and additional Enhancements
          • 22th May : Further Result collection (if required)
          • 30th May: Final Presentation of project and Report Submission
          • May : Parallel report writing



          Institute of Communication Network
                    ComNets@tuhh.de                                         10
Further Discussions
• Interference coordinated MAC scheduling
• Multi UE scenarios
• Multi Base Station scenarios
  – With User mobility
  – Without User mobility

  Open ended discussion


                  Institute of Communication Network
                            ComNets@tuhh.de            11
A Distributed Interference-aware Load balancing
        Algorithm for LTE Multi-Cell Networks
• Problem formulation
   – Concave utility function, s.t. constrains
   – Convex program with a concave objective function
• Lagrangian relaxation (duality)
   – Decompose into subproblems by relaxing the constrains (load
     distribution, BS assignment, bandwidth allocation)
• Solution for Lagrangian relaxation
   – Solving the subproblems
   – Optimal solution
   – Ascent methods (several steps), cover the integer constrains
• Cellular network aspects (each step)
   – Distributed algorithm for the optimal LB, considering e.g. HO user
     pair, HO criterion, candidate user sets…

                          Institute of Communication Network
                                    ComNets@tuhh.de                       12
Utility-Based Resource Allocation for Mixed
           Traffic in Wireless Networks
• Utility function
   – QoS users: Sigmoid function (convex, concave)
   – BE users: Concave function
• Solution
   – Lagrangian method with Karush-Kuhn-Tucker condition (KKT)
   – Sufficient conditions for optimal allocation derived
• Algorithms
   – I. QoS users only
   – II. BE users only




                         Institute of Communication Network
                                   ComNets@tuhh.de               13
Institute of Communication Network
          ComNets@tuhh.de            14

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Vivek tyagi kick_off_ppt_ss-2

  • 1. Modelling Interfernce for Wireless LTE networks in OPNET Studienarbeit Kick off Presentation Vivek Tyagi (21152475) vivek.tyagi@tu-harburg.de
  • 2. Agenda • Background and Impulse towards topic • Project Description • Milestones planning • Progress So far • Further Enhancements (TBD) • Discussion Institute of Communication Network ComNets@tuhh.de 2
  • 3. Background and Impulse towards topic Any wireless signal is usually affected from • Attenuation over distance • Doppler shift • Multipath fading • Interference (Missing) All are required for analysis and optimization of the performance of wireless networks Institute of Communication Network ComNets@tuhh.de 3
  • 4. Background and Impulse towards topic • LTE advanced – Frequency reuse factor 1 • All frequency resources used in all eNBs • Leads to high amount of Interference • Interference based coordination /scheduling required. Institute of Communication Network ComNets@tuhh.de 4
  • 5. Arbeit Description • Modeling of interference in ComNets LTE model for performance analysis of simple scenario. • Scenario:- – Two eNBs – One UE per Base station – Square topology – Both Base stations uses same band (100%) • Without user mobility • With user mobility Institute of Communication Network ComNets@tuhh.de 5
  • 6. Arbeit Description • Modules affected – Mobility Model : For Topology and movement design • SINR calculation • RPL(others) is missing Institute of Communication Network ComNets@tuhh.de 6
  • 7. Arbeit Description – MAC Scheduler : For performance analysis of various current scheduling algorithms • Blind Equal Throughput • Maximum Throughput • Proportional Fair • Optimized Service Aware Institute of Communication Network ComNets@tuhh.de 7
  • 8. Arbeit Description Institute of Communication Network ComNets@tuhh.de 8
  • 9. Progress So Far • Understanding of OPNET simulator • Understanding of Mobility Model • Understanding of MAC scheduler • Proposal for changes in Mobility Model – For topology – For mobility Institute of Communication Network ComNets@tuhh.de 9
  • 10. Milestones TBD March • 15th March : Code implementation of 2 eNB scenario • 30th March : Code validation and Test Runs April • 15th April : Collection of Results • 20th April : First Interim Report Discussion • 30th April : Calibration/Enhancement of Model • 15th-30th April : Parallel Report Writing • 7th May : Comparison of results to a standard model(3GPP) May • 15th May : Detailed Analysis and additional Enhancements • 22th May : Further Result collection (if required) • 30th May: Final Presentation of project and Report Submission • May : Parallel report writing Institute of Communication Network ComNets@tuhh.de 10
  • 11. Further Discussions • Interference coordinated MAC scheduling • Multi UE scenarios • Multi Base Station scenarios – With User mobility – Without User mobility Open ended discussion Institute of Communication Network ComNets@tuhh.de 11
  • 12. A Distributed Interference-aware Load balancing Algorithm for LTE Multi-Cell Networks • Problem formulation – Concave utility function, s.t. constrains – Convex program with a concave objective function • Lagrangian relaxation (duality) – Decompose into subproblems by relaxing the constrains (load distribution, BS assignment, bandwidth allocation) • Solution for Lagrangian relaxation – Solving the subproblems – Optimal solution – Ascent methods (several steps), cover the integer constrains • Cellular network aspects (each step) – Distributed algorithm for the optimal LB, considering e.g. HO user pair, HO criterion, candidate user sets… Institute of Communication Network ComNets@tuhh.de 12
  • 13. Utility-Based Resource Allocation for Mixed Traffic in Wireless Networks • Utility function – QoS users: Sigmoid function (convex, concave) – BE users: Concave function • Solution – Lagrangian method with Karush-Kuhn-Tucker condition (KKT) – Sufficient conditions for optimal allocation derived • Algorithms – I. QoS users only – II. BE users only Institute of Communication Network ComNets@tuhh.de 13
  • 14. Institute of Communication Network ComNets@tuhh.de 14