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Doc.: IEEE 802. 11-15/1316-03-00ax Submission M. Shahwaiz Afaqui DSC calibration results with NS-3 Authors: Nov. 2015.

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Presentation on theme: "Doc.: IEEE 802. 11-15/1316-03-00ax Submission M. Shahwaiz Afaqui DSC calibration results with NS-3 Authors: Nov. 2015."— Presentation transcript:

1 doc.: IEEE 802. 11-15/1316-03-00ax Submission M. Shahwaiz Afaqui DSC calibration results with NS-3 Authors: Nov. 2015

2 doc.: IEEE 802. 11-15/1316-03-00ax Submission M. Shahwaiz Afaqui 1.Context 2.Simulation Environment: NS-3 3.Simulation scenarios and assumptions 4.Path loss model calibration 5.Throughput calibration Results 6.Conclusions 7.References Outline Nov. 2015 Slide 2

3 doc.: IEEE 802. 11-15/1316-03-00ax Submission M. Shahwaiz Afaqui As highlighted in [1], many simulation results have been presented by TGax, However, results are inconsistent due to diverse conditions. In addition, there is a need to perform “apples-to-apples” comparison so that different simulation tools could be calibrated based on a reference model. In this submission we, – Present the calibration results of our spatial reuse implementation in NS-3, By utilizing the simple scenario presented in [1] We compare our findings with the results presented in [2] and [3] 1. Context Nov. 2015 Slide 3

4 doc.: IEEE 802. 11-15/1316-03-00ax Submission M. Shahwaiz Afaqui Slide 4 NS-3 –Allows the study of protocols and network performance of large-scale systems in a controlled and scalable environment. Main characteristics, –Discrete event simulator –Packet level simulator (layer 2 and above) –Layered architecture Simplified PHY layer abstraction –Free and open source –Frequent updates ( latest version ns 3.24- release date Sept. 15 th, 2015) Large number of protocol implementations and models available, –TCP, UDP –IPV4, IPV6, static routing –IEEE 802.11 and variants, WiMAX, LTE –IEEE 802 physical layer –Mobility models and routing protocols –Ability to design indoor, outdoor or hybrid networks –etc. 2. Simulation Environment: NS-3 Nov. 2015

5 doc.: IEEE 802. 11-15/1316-03-00ax Submission M. Shahwaiz Afaqui 3. Simulation scenarios and assumptions (1/4) Topology (from [1]) –Two BSS separated with a distance of 30m, 2 stations associated with each AP –AP and stations placed at 1.5m height. 30m 3m AP1AP2 STA3 STA4 STA1 STA2 Nov. 2015 Slide 5

6 doc.: IEEE 802. 11-15/1316-03-00ax Submission M. Shahwaiz Afaqui 3. Simulation scenarios and assumptions (2/4) Nov. 2015 Slide 6

7 doc.: IEEE 802. 11-15/1316-03-00ax Submission M. Shahwaiz Afaqui Physical layer parameters Slide 7 ParameterValue Band Width All BSSs at 5GHz (Ch 36, 5180) [80MHz, no dynamic bandwidth] Shadow fadingNo shadowing Data preambleIEEE 802.11ac VHT STA TX Power15-10 dBm AP TX Power20-15 dBm AP number of TX/RX antennas 1/1 STA number of TX /RX antennas1/1 AP antenna gain0 dBi STA antenna gain-2 dBi Guard interval400ns (short guard interval) CCA threshold-56/-66/-76 dBm @ 80MHz CCA-ED-56 dBm Link AdaptationFixed MCS = 5 (234.0 Mbps) Channel estimationideal Pathloss Model parametersd 0 = 1, d 1 =10, d 2 =30, e 0 =2, e 1 =3.5, e 2 =3.5 3. Simulation scenarios and assumptions (3/4) Nov. 2015

8 doc.: IEEE 802. 11-15/1316-03-00ax Submission M. Shahwaiz Afaqui MAC layer parameters Slide 8 ParameterValue Access protocol [EDCA, AC_BE with default parameters] [CWmin = 15, CWmax = 1023, AIFSn=3 ] Traffic typeUDP CBR with rate 200Mbps Traffic directionUplink only MPDU size 1538 Bytes (1472 Data + 28 IP header + 8 bytes LLC + 30 MAC header) Aggregation32 MPDUs with Block Ack. Max number of retries10 Beacons Disabled RTS/CTSOff ThroughputPer non-AP station (received bits/overall simulation time), measured using flowmonitors [5] Simulation parameters ParameterValue Simulation time30 seconds 3. Simulation scenarios and assumptions (4/4) Nov. 2015

9 doc.: IEEE 802. 11-15/1316-03-00ax Submission M. Shahwaiz Afaqui 4. Path loss model calibration Slide 9 MTK [2] NS-3 Path loss model used in NS-3 simulator, where black squares indicate the received power reported in key locations Nov. 2015

10 doc.: IEEE 802. 11-15/1316-03-00ax Submission M. Shahwaiz Afaqui TX PWR STA = 15, TX PWR AP = 20 We compare the results with [2] in which the authors used 5dB of shadowing. 5. Calibration Results (1/5) Slide 10 CCAthr. (dBm) MTK Throughput (Mbps) NS-3 Throughput (Mbps) -76 (~1,4%) BSS1 STA150.3551.50 STA251.6549.22 BSS2 STA351.1049.29 STA450.4150.56 -66 (~47,8%) BSS1 STA199.5750.76 STA299.4652.05 BSS2 STA399.5452.77 STA499.5952.41 -56 (~1,0%) BSS1 STA199.8399.29 STA299.80102.41 BSS2 STA399.82101.29 STA499.81100.14 Nov. 2015

11 doc.: IEEE 802. 11-15/1316-03-00ax Submission M. Shahwaiz Afaqui TX PWR STA = 15, TX PWR AP = 20 We compare the results with [2] in which the authors used 5dB of shadowing. 5. Calibration Results (2/5) Slide 11 CCAthr. (dBm) MTK Throughput (Mbps) NS-3 Throughput (Mbps) -76 (~1,4%) BSS1 STA150.3551.50 STA251.6549.22 BSS2 STA351.1049.29 STA450.4150.56 increased 4dB -62 (~1,4%) BSS1 STA199.57 97.87 STA299.46 98.54 BSS2 STA399.54 97.60 STA499.59 98.42 -56 (~1,0%) BSS1 STA199.8399.29 STA299.80102.41 BSS2 STA399.82101.29 STA499.81100.14 Nov. 2015

12 doc.: IEEE 802. 11-15/1316-03-00ax Submission M. Shahwaiz Afaqui Reduce TX PWR 4dB: STA = 11, TX PWR AP = 16. We compare the results with [2] in which the authors used 5dB of shadowing. Slide 12 CCAthr. (dBm) MTK Throughput (Mbps) NS-3 (reduced TX PWR) Throughput (Mbps) -76 (~1.8%) BSS1 STA150.35 51.74 STA251.65 50.60 BSS2 STA351.10 48.10 STA450.41 49.50 -66 (~1.7%) BSS1 STA199.5797.05 STA299.4698.88 BSS2 STA399.5497.16 STA499.5998.32 -56 (~0.5%) BSS1 STA199.83 100.52 STA299.80 101.58 BSS2 STA399.82 99.46 STA499.81 99.91 5. Calibration Results (3/5) Nov. 2015

13 doc.: IEEE 802. 11-15/1316-03-00ax Submission M. Shahwaiz Afaqui Reduce TX PWR 5dB: STA = 10, TX PWR AP = 15. We compare the results with [2] in which the authors used 5dB of shadowing. Slide 13 CCAthr. (dBm) MTK Throughput (Mbps) NS-3 (reduced TX PWR) Throughput (Mbps) -76 (~2.3%) BSS1 STA150.3549.02 STA251.6550.37 BSS2 STA351.1049.48 STA450.4149.99 -66 (~1.0%) BSS1 STA199.5798.12 STA299.4698.52 BSS2 STA399.54100.90 STA499.5996.67 -56 (~0.8%) BSS1 STA199.83100.68 STA299.80100.55 BSS2 STA399.82100.73 STA499.81100.39 5. Calibration Results (4/5) Nov. 2015

14 doc.: IEEE 802. 11-15/1316-03-00ax Submission M. Shahwaiz Afaqui 5. Calibration Results (5/5) Slide 14 CCA-SD Sony*WILUS*NTT*SRTech*BCM*LGE*MTK*Nokia*UPC + -76 BSS1 STA151.0654.0948.7043.3067.5967.8149.1853.7651.50 STA251.7453.0048.8047.0066.4268.9949.5353.2949.22 Total102.80107.0997.5090.30134.01136.8098.71107.05100.72 BSS2 STA350.5354.5147.8043.3066.5368.4652.0154.6349.29 STA451.4054.3648.2043.1068.1968.2253.8254.1250.56 Total101.93108.8796.0086.40134.72136.68105.83108.75 99.85 BSS1 + BSS2204.73215.96193.50176.70268.73273.48204.54215.79200.57 -66 BSS1 STA193.2495.2293.00 85.2293.99100.1394.6797.87 STA294.2896.3193.5094.0084.3392.27100.5195.2298.54 Total187.52191.53186.50187.00169.55186.26200.64189.89196.41 BSS2 STA393.0395.1293.6094.4084.7792.83100.7595.1997.6 STA493.9395.9393.1092.7085.0091.98100.2095.0098.42 Total186.96191.05186.70187.10169.77184.81200.95190.19 196.02 BSS1 + BSS2374.48382.58373.20374.10339.32371.07401.59380.08 392.43 Gain1.831.771.932.121.261.361.961.761.95 -56 BSS1 STA195.2695.7093.00 87.8094.58100.7994.8299.29 STA296.1395.4393.4094.0086.3392.20100.7695.39102.41 Total193.22191.13186.40187.00174.13186.78201.55190.21201.70 BSS2 STA395.6295.5193.6094.4087.0193.10101.1295.17101.29 STA495.5496.7193.1092.7087.3792.33100.6894.97100.14 Total191.16192.22186.70187.10174.38185.43201.80190.14 201.43 BSS1 + BSS2384.38383.35373.10374.10348.51372.21403.35380.35 403.13 Gain1.881.781.932.121.301.361.971.762.01 * The simulation results are from individual contributors, company names are used only for convenience + Calibration shown in slide 11 is applied

15 doc.: IEEE 802. 11-15/1316-03-00ax Submission M. Shahwaiz Afaqui 6. Conclusions In this presentation, we provide the spatial reuse calibration results of our NS-3 simulator based on 15/0652r1 A-MPDU implementation is unstable in really dense scenarios (due to OBSS interference) and needs work. Results indicate consistency with the results presented in [2] and [3]. Calibration needed at cell edges Slide 15 Nov. 2015

16 doc.: IEEE 802. 11-15/1316-03-00ax Submission M. Shahwaiz Afaqui 7. References [1]. Masahito Mori, IEEE 802.11-15-0652r1, Reference simulation model for Dynamic CCA/DSC calibration. [2]. Chinghwa Yu, IEEE 802.11-15-0886r0, DSC calibration results. [3]. 11-15/801r1, “DCCA/DSC Reference Simulation Results” [4]. ThreeLogDistancePropagationLossModel Class : ns-3 design document. [Online]. Available: https://www.nsnam.org/doxygen/classns3_1_1_three_log_distance_propagation_loss_model.html Nov. 2015 Slide 16

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