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Proposed Calibration For MAC simulator

Proposed Calibration For MAC simulator. Authors:. Date: 2014-07-12. Introduction. Multiple IEEE presentations have looked at the effects of CCA levels. See next slide Many claim significant gain by increasing CCA levels.

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Proposed Calibration For MAC simulator

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  1. Proposed Calibration For MAC simulator Authors: Date: 2014-07-12

  2. Introduction • Multiple IEEE presentations have looked at the effects of CCA levels. • See next slide • Many claim significant gain by increasing CCA levels. • Numerous types of scenarios/simulators were used to make these claims • PHY simulator • Real devices • MAC simulator/scenario 3 • This presentation focuses on understanding the effect of changing CCA levels in a residential scenario ( scenario 1) • Simulations are done with a MAC simulator • Detailed MAC modelled • Simple PHY abstraction • Optimal CCA levels for both mean and 5% TPUT are found for a variety of settings. Barriac et al (Qualcomm)

  3. Previous Contributions on CCA levels Barriac et al (Qualcomm)

  4. Simulation Setting I Example of one drop Floor 1 Floor 2 Floor 3 Barriac et al (Qualcomm) • Residential Scenario • IEEE residential scenario baseline • Less apartments modelled for faster run times • Expect comclusions will not change • 1 STA per AP • 2x5x3 apartments • 30 APs ; 30STAs ; • Pathloss as specified in 11ax Simulation Scenarios document • 1 80 MHz channel • Results averaged over multiple random drops of APs and STAs locations

  5. Simulation Setting II • Simulation Details: • DL only Data traffic (+ UL BAs) • Full buffer UDP • Default Tx Power: 20 dBm per antenna (AP), 15 dBm ( STA) • Antenna Gain: 0 dBi APs, -2dBi STAs • Rate Control: • MCS per link chosen to maximize long term goodput • MAC modelling • MAC is fully modelled • Deferral according to 11ah CCA rules • OBSS packets deferral only if RSSI > ED (assume BSS ID (color) in PPDU • ED level controls deferral on a network level • Nodes on the same 80 MHz channel have the same primary channel • PHY modelling • Pathloss, shadowing, (pathloss as in SS document, shadowing w sd 5dB) • no fading. • Long term PER curves based on ChD • 1x1 (tx antennas x rx antennas) Barriac et al (Qualcomm)

  6. Tests Run • Using ChD PER curves: • Reuse 1 default power levels • Reuse 1, 6 dB higher tx power levels • 6 dB higher power models total power when 4 antennas • Using AWGN PER curves: • Reuse 1 default power levels • Reuse 1, 6dB higher tx power levels • 6 dB higher power models total power when 4 antennas. Barriac et al (Qualcomm)

  7. Results with CHD PER curves Gwen Barriac (Qualcomm)

  8. TPUT as a function of CCA for Reuse 1 • Optimal CCA for mean: -72 • Optimal CCA for 5% point: -92 Barriac et al (Qualcomm)

  9. TPUT as a function of CCA for Reuse 1, with 6 dB higher Tx Power at both AP and STA • Optimal CCA for mean: -72 • Optimal CCA for 5% point: -82 Barriac et al (Qualcomm)

  10. Possible Simultaneous mean & 5% TPUT Reuse 1, default Tx Power , chD PER curves July 2014

  11. Summary of Results so far ( chD PER curves) • For default power case, the optimal mean TPUT comes with a 70% loss in 5% point. • It can be difficult to optimize for both mean and 5% point simultaneously. Barriac et al (Qualcomm)

  12. Note: Chan D curves better reflect reality. AWGN curves run for understanding of how simulator reacts in different settings. RESULTS WITH AWGN PER CURVES Qualcomm

  13. Reuse 1, Default TX power AWGN curves. • Optimal CCA for mean: -62 • Optimal CCA for 5% point: -92 Barriac et al (Qualcomm)

  14. Reuse 1, 6 dB higher Tx Power , AWGN curves • Optimal CCA for mean: -62 • Optimal CCA for 5% point: -82 Barriac et al (Qualcomm)

  15. Possible Simultaneous mean & 5% TPUT Reuse 1, 6 dB higher Tx Power , AWGN curves Barriac et al (Qualcomm)

  16. Summary of Results w/ AWGN • Difficult to optimize for both mean and 5% point simultaneously. • Optimal mean can come with 95% loss in 5% point Barriac et al (Qualcomm)

  17. Comparison of Optimal CCA levels for AWGN and Chan D PER curves • Changing PER curves has large effect on optimal CCA level for mean • Changing Power level also affects optimal CCA •  Optimal CCA level sensitive to parameters. Barriac et al (Qualcomm)

  18. Conclusions: • Optimal CCA levels are highly dependent on parameter settings • example, Tx Power, PER curves • Difficult to get simultaneously optimize both mean and 5% point Barriac et al (Qualcomm)

  19. Additional Considerations • We would like to propose that the rate control used in these studies be included in the EM document for use with the MAC simulator and integrated simulator. • See document xxxxx • We would also like to propose that the deferral method used in these studies be used for the next stage of MAC simulator calibration. Barriac et al (Qualcomm)

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