doc.: IEEE /1081r0 SubmissionSayantan Choudhury HEW Simulation Methodology Date: Sep 16, 2013 Authors: Slide 1

doc.: IEEE /1081r0 Submission Abstract Propose to identify a few well-defined scenarios that can be simulated by multiple companies HEW simulations can easily get quite overwhelming. The goodness of the HEW enhancements should be visible in both simple and complicated scenarios. Simple scenarios may help to educate how simulators and enhancements operate September 2013 Sayantan ChoudhurySlide 2

doc.: IEEE /1081r0 Submission How to get started? It has been quite awhile since last simulation results were published... –802.11n has the last publicly available simulations from 2005 To ensure simulator operation correctness, the known simulation cases could be run with known PHY and MAC (802.11n and ac) –This could be fast way of getting all the simulators to the same page –802.11n and ac radios may have poor performance in HEW scenarios, better to compare these radios in suitable scenarios –This is good starting point for HEW simulator and then extend to dense deployment scenarios Sayantan ChoudhurySlide 3

doc.: IEEE /1081r0 Submission Overview of HEW Simulation Scenarios The HEW simulation scenarios should be examples to prove that HEW performance criteria can be fulfilled They enable benchmarking of the proposed enhancements in dense deployments HEW simulation scenarios should be simple enough and focus on what is essentially required to improve performance –Complicated data generation and network layer operations should be avoided HEW scenarios should provide default simulation parameters to enable easy cooperation between different companies Sayantan ChoudhurySlide 4

doc.: IEEE /1081r0 Submission EXAMPLE SIMULATION CASE Sayantan ChoudhurySlide 5

doc.: IEEE /1081r0 Submission Recap, Dense Apartment Building Scenario Multi-floor building –Important scenario in many countries. Fiber to the home offers >>1Gbps backhaul capacity –10 floors, 3 m height in each floor –2x10 rooms in each floor –Room size:10m x 10m x 3m AP locations (assuming 50 APs): –Place 50 APs in the randomly selected rooms at xy-location (uniform distribution) at 1.5m above floor level –At maximum one AP per room STA locations, 5 STA/AP (=250 STAs): –In each room that has an AP, place five STAs in random xy-locations (uniform distribution) at 1.5m above the floor level –Each of the five STAs in a room is associate to the AP in the room Sayantan ChoudhurySlide 6

doc.: IEEE /1081r0 Submission Recap, Dense apartment building simulation parameters Environment: Apartment building –10 floors, 20 rooms per floor 10mx10mx3m AP location: 50 (max 1 per room randomly placed) Channel model: Indoor Wall/Floor Penetration loss: 5/10/20 dB Ghz), 4 dB between floors Transmit power –Max AP : 23 dBm –Max STA TxP: 19 dBm BW: 11ac/80 MHz (same primary channel) Antenna configuration –AP/STA: 2/2 Antenna gain –0dBi Omni antenna pattern Link Adaptation –Enabled: SNR based EDCA parameters –Default (AC_VI) –TxOP: 2 ms Sayantan Choudhury RTS/CTS –Option 1: Off –Option 2: On Aggregation –MPDU: 64 –MSDU: 2 Max retries: 4 Block Acknowledgement –Enabled Constant Bit Rate traffic of DL or UL traffic –DL or UL traffic is randomly assigned to a STA –80% of STA with 50Mbps DL traffic –20% of STA with 50Mbps UL traffic –Packet size 1500B Number of iterations: 10 Simulation Duration: 2 secs Slide 7

doc.: IEEE /1081r0 Submission User throughput CDF Downlink Uplink Changing one or two parameters gives very different results. Sayantan Choudhury8

doc.: IEEE /1081r0 Submission Observations Simple scenarios where only 1 or 2 parameters are varied can often provide good insight into system performance Higher wall penetration loss results in reduced interference, hence improving throughput RTS/CTS helps protect ongoing transmission and reduces collisions resulting in improved uplink performance Better mechanisms to deal with increased interference in extremely dense deployment scenarios is needed Sayantan ChoudhurySlide 9

doc.: IEEE /1081r0 Submission Summary Benefitting from simulations requires: Well defined scenarios and parameters Understanding how features and enhancements operate Analysis of the reasons for good or poor performance Starting from simple simulations may be more useful in understanding the main performance bottlenecks of existing design and benefits of proposed enhancements Need to identify 1 or 2 baseline 11n/ac/HEW scenarios (e.g. residential and enterprise) with default parameters and simplified traffic profiles that can be simulated by multiple companies Sayantan ChoudhurySlide 10