1 / 21

15 March 200 5

15 March 200 5. Multi-Standard Convergence in Mobile Terminals (Master Thesis) Presenter: Shakeel Ahmad venue: GK Workshop Waldau, Germany. Supervisors: M.Sc. Chunjiang Yin Prof. Dr. Hermann Rohling Department of Telecommunication Technical University Hamburg Harburg. Contents.

tallulah-glenn
Télécharger la présentation

15 March 200 5

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. 15March 2005 Multi-Standard Convergence in Mobile Terminals(Master Thesis)Presenter: Shakeel Ahmadvenue: GK Workshop Waldau, Germany.Supervisors: M.Sc. Chunjiang YinProf. Dr. Hermann RohlingDepartment of TelecommunicationTechnical University Hamburg Harburg

  2. Contents • Introduction and Motivation • Tasks • Convergence Manager • Simulation Scenario and Considerations • Standard Selection Algorithms • Implementation in MLDesigner • Simulation Results • Conclusions Presenter: Shakeel Ahmad

  3. Introduction & Motivation • An increased demand of mobile Internet • A wired-like Internet service while on move… a big challenge • The challenge seems hard to be met with pure 3G deployment • WLAN a good candidate but suffers from low coverage • In 4G system one proposal considers the convergence of the existing wireless standards Convergence Manager Presenter: Shakeel Ahmad

  4. Introduction & Motivation (2) • Overall performance can be improved • Potential benefits for end-users, network operator and the service provider Presenter: Shakeel Ahmad

  5. Tasks • Definition of a simulation scenario deploying multi-standard convergence • Implementation of simulation scenario in MLDesigner • A quantitative analysis of the potential benefits offered by multi-standard convergence only in mobile terminals • Standard selection algorithms and comparison • Delay performance • Request discarding rate performance Presenter: Shakeel Ahmad

  6. Convergence Manager • Function: • Enables the convergence of wireless standards. • Location: • A crucial issue from architecture point of view • Some proposed locations for Convergence Manager (CM): • Only in Mobile Terminal • Only in the network side • Can be split into a network and Mobile Terminal part Standard Selection Presenter: Shakeel Ahmad

  7. Simulation Scenario & Considerations • A busy road about 1.5km long in a city and is crossed by some other roads • Technological Scenario • Two standards, HSDPA (for UMTS) and HL2 (WLAN) were considered. • HSDPA is available throughout and HL2 is available at crossings (100 m radius) • User Scenario • Uniform spatial distribution along the road, moving with a constant speed. • Users make request for a service according to Poisson process • Service Scenario • Generic file download service Presenter: Shakeel Ahmad

  8. Contents • Introduction and Motivation • Tasks • Convergence Manager • Simulation Scenario and Considerations • Standard Selection Algorithms • Implementation in MLDesigner • Simulation Results • Conclusions Presenter: Shakeel Ahmad

  9. Standard Selection Algorithms Three algorithms for standard selection were considered [1] • Switched Algorithm • Upon arriving a request, the highest data rate bearer is selected. • Download starts immediately and can take place via multiple standards • Switching between standards while mid of file download (complications involved) • Location Algorithm • Uses additional knowledge of users‘s mobility, geographical coverage of standards and the mean data rate, to make more intelligent decision • Download may not start immediately and always takes place via single standard • Current Algorithm • Upon arriving a request, the highest data rate bearer is selected. • Download starts immediately and takes place via single standard Switched time Request Request Request time Current Request Request Request Initial delay time Location Request Request Request Request UMTS Only UMTS Only UMTS Only UMTS / HL2 UMTS / HL2 Road [1] MultiStandard approach for enhanced communications service provision to rail commuter IST Mobile Communications Summit, Lyon, France. Presenter: Shakeel Ahmad

  10. Implementation in MLDesigner Simulation Scenario Presenter: Shakeel Ahmad

  11. Implementation in MLDesigner (2) An instance of Mobile Terminal Presenter: Shakeel Ahmad

  12. Contents • Introduction and Motivation • Tasks • Convergence Manager • Simulation Scenario and Considerations • Standard Selection Algorithms • Implementation in MLDesigner • Simulation Results • Conclusions Presenter: Shakeel Ahmad

  13. Multi-Standard Single-User Case • Request arrival Process is Poisson with mean rate of 1/10 requests per second, File Size Fixed • It is supposed that user is moving with constant speed (10 m/s), Red Signal On Probability=0.0 • Mean Initial Delay Vs File Size & Mean Total File Download Time Vs File Size Presenter: Shakeel Ahmad

  14. Multi-Standard Single-User Case (2) • Request arrival is Poisson with mean rate of 1/10 requests per second, File Size Fixed • It is supposed that user is moving with constant speed (10 m/s), Red Signal On Probability=0.0 • Mean Request Discarding Rate Vs File Size Presenter: Shakeel Ahmad

  15. HotSpot Effect • Request arrival Process with mean 1/10 requests per second, File Size Fixed • It is supposed that user is moving with constant speed (10 m/s), Red Signal On Probability =0.1 (Red Signal is On for 15 sec) • Mean Total Download Time Vs File Size Crossing points are good place to install HL2 APs Presenter: Shakeel Ahmad

  16. Multi-Standard Multi-User Case • Request arrival Process with mean 1/10 requests per second, File Size = 125 KB • Users spatial distribution is uniform along the road, • It is supposed that users are moving with constant speed (10 m/s), Red Signal On Probability =0.0 • Mean Total Download Time & Mean Request Discarding Rate Vs numUsers Presenter: Shakeel Ahmad

  17. Problem with Location Algorithm • Wrong data rate estimation leads to wrong standard selection • Proposed Solution: • History Based Location Algorithm • Mean data rate for the current file download via standard x is inferred from previous file download via standard x. Location time Request Request Request Request UMTS Only UMTS Only UMTS Only UMTS / HL2 UMTS / HL2 Road Presenter: Shakeel Ahmad

  18. Performance of History Based Location Algorithm • Improvement by applying History Based Location Algorithm • Mean Total Download Time & Mean Request Discarding Rate Vs numUsers Presenter: Shakeel Ahmad

  19. Conclusion • Benefits of Convergence Manager • Improved QoS and System performance • Easy to realize – no standardization efforts • Comparison of standard selection algorithms • Switched algorithm lower bound of performance - Location algorithm closest match • Location Algorithm – Poor performance in multi-users • History Based Location Algorithm-one Possible Solution Presenter: Shakeel Ahmad

  20. Conclusion (2) • Modular and Extendable Simulation Setup • A useful off-shelf component • The framework can be easily extended e.g., for other wireless standards, new standard selection algorithms and new scheduling policies can be incorporated and tested easily • Future Work • The assumption that CM knows precisely about user‘s mobility, location and geographical coverage of wireless standards may not be realistic – Source of error. • New standard-selection algorithms for different scenarios and services Presenter: Shakeel Ahmad

  21. Thanks for listening Presenter: Shakeel Ahmad

More Related