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RANSim: Simulating a DS-CDMA Fading Channel with Bursty Traffic Arrivals

RANSim: Simulating a DS-CDMA Fading Channel with Bursty Traffic Arrivals. Colette Consani Heidi Proske. Content. Introduction Scenario Questions. Introduction: Landman’s Work.

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RANSim: Simulating a DS-CDMA Fading Channel with Bursty Traffic Arrivals

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  1. RANSim:Simulating a DS-CDMA Fading Channel with Bursty Traffic Arrivals Colette Consani Heidi Proske

  2. Content • Introduction • Scenario • Questions

  3. Introduction: Landman’s Work • Developing an analytic model to analyze trends in the packet error rates and packet throughput as a function of various parameters for a DS-CDMA fading channel with bursty traffic arrivals

  4. Introduction: Landman’s Request • To increase the validity of the (Hidden Markov Model (HMM) developed, results are needed from another source for comparison • Best source = physical system – Not possible • Used source = simulated system

  5. Introduction: Problem Definition Product simulated performance results of a DS-CDMA Fading Channel with Bursty Traffic Arrivals so that they can be compared to the results produced by the HMM developed by Landman.

  6. Introduction: Objectives • Create a Simulation Engine (SE) to produce the required results • Make it easy to enter the input variables, start multiple simulations and view the results using a Graphical User Interface (GUI)

  7. Approach: UMTS Environment

  8. Approach: Components

  9. Scenario: Overview Joe Blogg wants to generate some simulated results to be compared to the results produced by the HMM. He also wants to compare simulated results with were generated at an earlier date to both sets of results

  10. Scenario: List of things to do • Start a new simulation with non-default input variables (to be specified later) • Go get coffee • Load both the new and old simulated results • Compare each of them to the HMM results • Go home

  11. Input Variables: Traffic Generation The desired user, whose performance we are modelling, has packets arriving at the base station, on average, every 1 millisecond when he is really busy. When idle, the user generally has a packet arriving every 15 milliseconds. The probability of him becoming busy, when he is idle is 0.5, while the probability of him becoming idle when busy is 0.1. He has an average packet size of 1280 bits.

  12. Input Variables: Traffic Generation So we can see that for the desired users • G1 = 15 • G2 = 1 • r1 = 0.5 • r2 = 0.1 • B = 1 / 1280 = 0.00078125

  13. Input Variables: Interference The user is sitting at his desk in his office. There are between 1 and 10 other user’s trying to send out information of different 3G channels at any stage. The probability that the number is near 10 is 0.5, while it is 0.1 for 1 interfering user.

  14. Input Variables: Ending point The simulator wants simulation results that are relatively accurate So he specifies that the overall confidence in the point estimates should be high. He specifies that he wants to be 95% confident that the real performance results would lie within 5% around the value of the point estimate

  15. Post Coffee Break Progress Update Joe has just come back from his half hour coffee break and wants to see how far the simulation is.

  16. Post Coffee Break Progress Update Joe has just come back from his half hour coffee break and wants to see how far the simulation is. He decides that it will not be done in time for his to compare the results before he goes home in half an hour. So he starts a shorter simulation run with default input variables.

  17. Viewing Results: Past Results While the other simulation is running, he decides to pause the original one so that the computer does not lag so much. He then wants to compare the results from the simulation he ran yesterday to the HMM results.

  18. Viewing Results: Paused & Completed Next he wants to bring up the results from the paused simulation The latest simulation run has completed. He wants to compare all the results. He wants to resume the original simulation so that it can run over night

  19. Joe is going home & the lucky man gets to go play golf and then rest with his feet up watching the rugby…

  20. Discussion Holding you ransom until you have asked your questions on our

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