1 / 16

Traffic Descriptions For 802.11E Performance Simulation

Traffic Descriptions For 802.11E Performance Simulation. Jin-Meng Ho Texas Instruments Incorporated 12500 TI Blvd. Dallas, Texas 75243 (214) 480-1994 jinmengho@ti.com. Objectives. Serves as a starting common simulation scenario for evaluation of 802.11e QoS MAC proposals.

marie
Télécharger la présentation

Traffic Descriptions For 802.11E Performance Simulation

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. Traffic DescriptionsFor 802.11E Performance Simulation Jin-Meng Ho Texas Instruments Incorporated 12500 TI Blvd. Dallas, Texas 75243 (214) 480-1994 jinmengho@ti.com

  2. Objectives • Serves as a starting common simulation scenario for evaluation of 802.11e QoS MAC proposals. • Provides more details of the simulation scenario outlined as Model 3 in doc 196r2 for 11 Mbps home environments. • Generates other simulation scenarios that are applicable to other PHY rates and operation environments.

  3. Outline • Topology of traffic categories • Models of traffic sources • Voice • Video Conferencing • MPEG2 • Data • Web Requests, Web Objects • File Transfers, Image Transfers • Emails

  4. Simulation Scenario for 802.11B (11 Mbps Home Environments) STA1 STA2 Voice • Priority levels: • BE = 0 • LP = 1 • MP = 2 • HP = 3 • MPEG2 = 4 • VC = 5 • Voice = 6 • R = 7 • E-DCF mappings: • BE = 0 • LP = 1 • MP = 1 • HP = 2 • MPEG2 = 2 • VC = 3 • Voice = 3 • R = 3 Web_Objects (LP) Web_Requests (LP) File Transfers (MP) Image Transfers (MP) Voice VC (Video Conferencing) AP/PC STA3 Outgoing Emails (BE) Incoming_Emails (BE) Web Objects (HP) Web Requests (HP) MPEG2 Voice Data (dotted) links may be idle most of the time. STA5 STA4

  5. Total Traffic Source Rates • Total Traffic - Average aggregate rate: • Data Traffic (Webs + Emails + File/Image Transfers) - Average individual rates: --controls rate proportions among data links --controls aggregate data traffic rate - Average aggregate rate: Without MPEG2 loading With MPEG2 loading

  6. Some Heavy-Tailed Distributions Lognormal ( ): Pareto ( ):

  7. More Heavy-Tailed Distributions Weibull ( ): Gamma ( ):

  8. Voice Traffic Models • Birectional • Source rate (in each direction) = 64 kb/s (CBR) • Inter-packet arrival time (to LLC) = 20 ms • Higher layer and WEP overhead (per MSDU) = 48 bytes • Net frame (MSDU) length = 208 bytes

  9. Video Conferencing Traffic Models(From Doc 349) • Birectional • Source rate (in each direction) = 98.4 kb/s (CBR) • Packet arrival rate (to LLC) = 20 packets/s • Higher layer and WEP overhead (per MSDU) = 48 bytes • Net frame (MSDU) length = 663 bytes

  10. MPEG2 Traffic Models(From Doc 349) • Unidirectional • Average source rate = 5.12 Mb/s (VBR) • Modeled by scenes, GOPs (group of pictures), and I/B/P frames • Higher layer overhead (per MSDU) = 40 bytes • Inter-frame arrival time (to LLC) = 33.33 ms • Frame length distributions (in bits): I B B P B B P B B P B B P B B I B B P B B P B B P B B P B B I GOP = 15 Frames = 0.5 secs GOP = 15 Frames = 0.5 secs

  11. Data Traffic Models(Emails, Web Requests/Objects,File/Image Transfers) • Modeled by (hierarchical) renewal processes per-direction • Arrivals to LLC in bursts (which may be decomposed into frames) • Higher layer overhead included (absorbed) in models • Delay and jitter evaluated with respect to bursts, but not frames • λ (needed later) given on slide 5 under various channel loads

  12. Email Traffic Models Outgoing Emails: Incoming Emails:

  13. File/Image Traffic Models File Transfers: Image Transfers:

  14. Web Traffic Models Web Requests (LP): Web Objects (LP):

  15. Web Traffic Models (Cont) Web Requests (HP): Web Objects (HP):

  16. Delay and Delay Variation Evaluation • Each burst of data arrivals (as illustrated by arrows and • characterized by RVs and in the previous slides) • represents a “message”, such as a user request, an web object, • and an embedded web reference. • A message is “meaningful” to the user only after the complete • burst of data arrivals has been received. • Delay and delay variation should be evaluated with respect to • messages, instead of “frames” into which messages may • decompose.

More Related