Submission doc.: IEEE 802.11-15/1049r0 September 2015 Marcin filo, ICS, University of Surrey, UKSlide 1 Implications of wrap-around for TGax Scenario 3.

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Presentation transcript:

Submission doc.: IEEE /1049r0 September 2015 Marcin filo, ICS, University of Surrey, UKSlide 1 Implications of wrap-around for TGax Scenario 3 and Scenario 4 Date:

Submission doc.: IEEE /1049r0 Marcin filo, ICS, University of Surrey, UKSlide 2 Abstract Implications of the use of Wrap-Around (WA) in TGax scenarios 3 and 4 are investigated. Simulations studies indicate significant differences in the achieved area capacity (Mbps per km2) with different number of simulated rings and also the need to reconsider some of the scenario specific simulation parameters. September 2015

Submission doc.: IEEE /1049r0 Slide 3 SCE#3 and SCE#4 review Indoor Small BSSs and Outdoor Large BSS Scenarios assume planned infrastructure network (ESS) [1] Real deployments may consist of hundreds of BSSs (e.g. to fully cover an area of the size of London Gatwick Airport we would need approx APs, assuming ICD of m [2]) Hexagonal BSS layout with a frequency reuse pattern is employed to simplify simulation complexities (the aim is to simulate only a representative fraction of a network instead of the whole network) Marcin filo, ICS, University of Surrey, UK BSSBSS BSSBSS BSSBSS BSSBSS BSSBSS BSSBSS BSSBSS BSSBSS BSSBSS BSSBSS BSSBSS BSSBSS BSSBSS BSSBSS BSSBSS BSSBSS BSSBSS BSSBSS BSSBSS BSSBSS BSSBSS BSSBSS BSBS BSBS BSSBSS BSSBSS BSSBSS BSSBSS BSSBSS BSSBSS BSSBSS BSSBSS BSSBSS BSSBSS BSSBSS BSSBSS BSSBSS BSSBSS Figure 1. Layout of BSSs with Frequency reuse 1Figure 2. Layout of BSSs using Frequency reuse 3 September 2015

Submission doc.: IEEE /1049r0 Slide 4 Problems with SCE#3 and SCE#4 hexagonal BSS layouts BSSs located in the outer ring behave differently from BSSs located in the inner rings Higher probability of poor STA-AP channel quality compared to BSSs located in the inner rings (STAs located in the inner rings have more APs to choose from when associating) Lower contention for STAs and APs located in the outer ring compared to STAs and APs located in the inner rings (no BSSs beyond the boundaries of the layout) Lower interference (i.e. better SINR) for STAs and APs located in the outer ring As a result, our hexagonal BSS layout cannot be considered as a representative fraction of a real ESS deployment (i.e. we cannot generalize our result for the whole network) Marcin filo, ICS, University of Surrey, UK September 2015

Submission doc.: IEEE /1049r0 Slide 5 Fixing problems with SCE#3 and SCE#4 hexagonal BSS layouts Wrap-around (WA) to the rescue (also suggested in [3]) allows to model interference so that it is uniform for all BSSs STAs in the outer tier will have similar behavior in associating with BSSs as those in the inner rings STAs and APs located in the outer ring will experience similar contention as STAs and APs located in the in the inner rings Wrap-around – introduction Main objective: lowering the simulation complexity by using a fraction of a network to mimic a network of infinite size Two types: Geographical distance based WA (simpler) and Radio distance based WA (more accurate) [4] Originally developed for simulation of non-CSMA based systems Commonly used by 3GPP and IEEE Working Group Marcin filo, ICS, University of Surrey, UK September 2015

Submission doc.: IEEE /1049r0 Slide 6 Wrap-around – basics The original layout is extended to a cluster consisting of 6 displaced “virtual” copies of the original hexagonal network and the original hexagon network located in the center (see below) There is a one-to-one mapping between cells of the central (original) hexagonal network and cells of each copy (each copy have the same antenna configuration, traffic, power settings, etc.) Marcin filo, ICS, University of Surrey, UK September 2015

Submission doc.: IEEE /1049r0 Slide 7 Wrap-around – basics Simple example: AP7 transmits a beacon frame and we want to determine the RX power of this beacon at AP13 1) Determine the RX power for the beacon as if it was transmitted from all 7 locations of AP7 2) Select the max RX power which in this case corresponds to AP7 location in C3 (assuming simple, distance dependent path-loss model with no shadowing and omni-directional antennas) Marcin filo, ICS, University of Surrey, UK Please note that for Radio distance based WA shortest distance does not always mean highest RX power! September 2015

Submission doc.: IEEE /1049r0 Slide 8 Wrap-around with simulations of CSMA based systems Main problems related to the improper (i.e. insufficient number of rings) use of Wrap-around: Over-estimation of spatial reuse – happens when transmitters located outside of the boundaries of our network layout may trigger reception or CCA busy event in the central cell (specific for CSMA simulations) Over-estimation of network geometry – happens when interferers located outside of the layout boundaries have a non- negligible impact on the SINR of the receivers located in the central cell (applicable to CSMA and non-CSMA simulations) Under-estimation of CSMA specific effect such as “capture effect”, “hidden terminal problem”, etc. Main parameter affecting the accuracy of Wrap-around: Number of rings of the original hexagonal network – tradeoff between simulation complexity and simulation accuracy (min value = 1, max value = infinity) Marcin filo, ICS, University of Surrey, UK Using example from the previous slide: We need to increase number of rings if RX power at AP13 calculated from more than one location of AP7 is above CCA-SD threshold or CCA-ED threshold September 2015

Submission doc.: IEEE /1049r0 Slide 9 Wrap-around with simulations of CSMA based systems Selecting number of rings Number of rings is scenario specific Main parameters affecting number of rings: Inter-cell distance (ICD), CCA-SD threshold/RX sensitivity, CCA-ED threshold, TX-power, Path-loss model Reasonable approach is to select it experimentally we need to conduct simulations for different number of rings and determine when the impact of the additional ring on the system performance can be neglected (Stopping rule: outer-ring have a negligible effect on the system performance) Marcin filo, ICS, University of Surrey, UK Please remember that with each additional ring we increase the simulation complexity/runtime! (each ring brings additional N*6 BSSs, where N is the number of rings) September 2015

Submission doc.: IEEE /1049r0 Slide 10 Wrap-around with SCE#3 and SCE#4 – determining proper number of rings Main SCE#3 parameter settings as in [1] Inter-cell distance (ICD) = 17.32m (10m radius), AP/STA TX power = 20dBm / 15dBm Path-loss model as defined in [1] AP/STA antenna gain = 0.0dB / -2.0dB AP/STA noise figure = 7.0dB / 7.0 dB AP/STA antenna height = 3.0m / 1.5m Main SCE#4 parameter settings as in [1] Inter-cell distance (ICD) = 130 m (65m radius), AP/STA TX power = 20dBm / 15dBm Path-loss model as defined in [1] AP/STA antenna gain = 0.0dB / -2.0dB AP/STA noise figure = 7.0dB / 7.0 dB AP/STA antenna height = 10.0m / 1.5m Marcin filo, ICS, University of Surrey, UK September 2015

Submission doc.: IEEE /1049r0 Slide 11 Wrap-around for SCE#3 and SCE#4 – determining proper number of rings Scenario 3 Marcin filo, ICS, University of Surrey, UK Other simulation settings: IEEE g (DSSS switched off), Shadowing and Fast fading not considered, No rate adaptation (Data/Control rate 24Mbps/24Mbps), CCA-SD threshold/RX sensitivity = -78dBm, CCA-ED threshold = -58dBm, STA density = 2000 STAs per km2, Full buffer (non-elastic traffic), Packet size = 1500B, Downlink only, Preamble reception model not considered 469 BSSs 331 BSSs 217 BSSs 127 BSSs September 2015

Submission doc.: IEEE /1049r0 Slide 12 Wrap-around for SCE#3 and SCE#4 – determining proper number of rings Scenario 4 Marcin filo, ICS, University of Surrey, UK Other simulation settings: IEEE g (DSSS switched off), Shadowing and Fast fading not considered, Rate adaptation (Minstrel), CCA-SD threshold/RX sensitivity = -88dBm, CCA-ED threshold = -68dBm, STA density = 770 STAs per km2, Full buffer (non-elastic traffic), Packet size = 1500B, Downlink only, Preamble reception model not considered September BSSs 61 BSSs 91 BSSs 169 BSSs

Submission doc.: IEEE /1049r0 Slide 13 Wrap-around – potential ways for reducing number of rings for SCE#3 and SCE#4 Scenario 3 Increase Inter-Cell Distance (ICD) Reduce power settings Marcin filo, ICS, University of Surrey, UK If we reduce power to 0dBm for APs and -5dBm for STA, difference between results for ring 7 and ring 12 drops to 12% (Figure above), compared to 32% for the original scenario settings (see Figure on slide 11) September 2015

Submission doc.: IEEE /1049r0 Slide 14 Wrap-around – potential ways for reducing number of rings for SCE#3 and SCE#4 Scenario 4 Introduce a PLOS cut-off to ensure that no two nodes can be in LOS after a certain distance (alternatively propose a new LOS probability function with a smaller tail) Reduce power settings Marcin filo, ICS, University of Surrey, UK September 2015

Submission doc.: IEEE /1049r0 Slide 15Marcin filo, ICS, University of Surrey, UK Summary Wrap-around is necessary for proper evaluation of SCE#3 and SCE#4 (assuming that we want to simulate just a small fraction of ESS instead of the whole network) The accuracy of wrap-around technique depends to the size (i.e. number of rings) of the BSS layout Number of rings for SCE#3 and SCE#4 BSS layouts need to be sufficient to provide reliable results (if used with wrap-around) September 2015

Submission doc.: IEEE /1049r0 Slide 16Marcin filo, ICS, University of Surrey, UK Recommendations Mandatory use of Wrap-Around (Radio-distance based) for SCE#3 and SCE#4 Propose a minimal number of rings for SCE#3 and SCE#4 BSS layouts, given existing scenario settings Reconsider AP/STA power settings for SCE#3 (or ICD/radius) to reduce simulation complexity Consider updating SCE#4 LOS probability function to reduce simulation complexity September 2015

Submission doc.: IEEE /1049r0 Slide 17 References [1] ax, TGax Simulation Scenarios [2] [3] IEEE /1387r1, “HEW channel modeling for system level simulation” [4] 3GPP R : Initial calibration results for 3D channel model, Ericsson, RAN1#75, November 2013 Marcin filo, ICS, University of Surrey, UK September 2015

Submission doc.: IEEE /1049r0 Slide 18Marcin filo, ICS, University of Surrey, UK Backup slides September 2015

Submission doc.: IEEE /1049r0 Slide 19 Simulation parameter settings Main simulation parameters ParameterValue IEEE standardIEEE g (DSSS switched off) Network layoutHexagonal grid Wrap-aroundYes (variable number of rings) STA/AP heightAs defined in [1] STA distributionRandom uniform distribution Modeling of preamble receptionNot considered Path loss modelAs defined in [1] Shadow fading modelNot considered Fast fading modelNot considered MobilityNot considered Number of orthogonal channels1 Carrier frequency2.4 GHz Carrier bandwidth20.0 MHz STA/AP Transmit power15.0 dBm / 20.0 dBm STA/AP Rx sensitivity dBm (RA scenarios) dBm (No RA scenarios) STA/AP Noise Figure7 dB STA/AP Antenna typeOmni-directional STA/AP Antenna Gain-2.0 dBi / 0.0 dBi STA/AP CCA Mode1 threshold dBm (RA scenarios) dBm (No RA scenarios) STA-AP allocation rule Strongest server (STAs always associate with APs with the strongest signal) Traffic modelFull buffer (saturated model) Traffic typeNon-elastic (UDP) Traffic directionDownlink only Packet size (size of the packet transmitted on the air interface, i.e. with MAC, IP and TCP overheads) 1500 bytes (Application layer packet size: 1424 bytes) Other IEEE related parameters Parameter Value Beacon period100ms Probe timeout /Number of probe requests send per scanned channel 50ms / 2 Scanning period (unassociated state only) 15s RTS/CTSOff Packet fragmentationOff The maximum number of retransmission attempts for a DATA packet 7 Rate adaptation algorithm Mistrel / No Rate Adaptation (24Mbps/24Mbps) MAC layer queue size1000 packets Number of beacons which must be consecutively missed by STA before disassociation 10 Association Request Timeout / Number of Assoc Req. before entering scanning 0.5s / 3 Transmission failure threshold for AP disassociation procedure 0.99 Marcin filo, ICS, University of Surrey, UK September 2015