1. Doc. No. IEEE 11-13-0538-00-0hew-r2 Submission May 2013 Klaus Doppler, NokiaSlide 1 Dense apartment building use case for HEW Date: May 14, 2013 Authors:

2. Doc. No. IEEE 11-13-0538-00-0hew-r2 Submission Abstract Use case: Dense Apartment building Simulation results Input to 5 criteria Appendix Slide 2 May 2013 Klaus Doppler, Nokia

3. Doc. No. IEEE 11-13-0538-00-0hew-r2 Submission Mobile video drives mobile data traffic Video is dominant application Netflix in HD currently uses 7Mbps* Video is moving towards 4k (4x1080p) and 8k (16x1080p) Increasing share of TVs with Wi-Fi support** Slide 3Klaus Doppler, Nokia May 2013 * https://support.netflix.com/en/node/8731https://support.netflix.com/en/node/8731 ** 4 out of 10 top selling TVs on Amazon.com April 22, 2013

4. Doc. No. IEEE 11-13-0538-00-0hew-r2 Submission May 2013 Klaus Doppler, NokiaSlide 4 Dense apartment building Pre-Conditions Each apartment has Wi-Fi network deployed to access internet and cloud services. In each apartment up to 3 users stream concurrently video content from the network and up to 50% of the networks are active. At the same time each of the active Wi-Fi networks is used by 2 users for web browsing Environment Building with 100 apartments. One AP in each apartment of 10mx10m randomly positioned. 5 STA per AP randomly positioned in the apartment. Applications Cloud based applications supporting video streaming with 8k resolution. Video requirements are: ~112Mbps per STA (16x1080P), delay is < 200ms, 1.0E-3 PER. The application is able to buffer up to 2s of the content to avoid interruptions of the service, allowing relaxed delay requirements Web browsing requirements for Social Networking are: ~20Mbps, PER 1e-3, delay<50ms, 1.0E-3 PER 150 active video users and 100 active web browsing users in the building with an aggregate data rate requirement of 18.8Gbps in the building. The service requirements should be met for 98% of the users in the building. Traffic Conditions Strong interference from overlapping networks (neighboring apartments, and outdoor Wi-Fi network). Multiple video display are operational simultaneously. Use Case User starts cloud video service on a fixed or mobile device with 8k display. The cloud service streams the video in 8k format.

5. Doc. No. IEEE 11-13-0538-00-0hew-r2 Submission Scenario Indoor environment Multi-floor building (100 apartments) –5 floors –2x10 rooms in each floor –Room size:10m x 10m x 3m 1-100 AP in the middle of the room 2 STA/AP –Randomly placed in the same room as AP Constant Bit Rate traffic both DL and UL –10Mbps/10Mbps AP TxP 23dBm, STA TxP 16dBm One 20MHz channel @ 5GHz Slide 5 May 2013 Klaus Doppler, Nokia

6. Doc. No. IEEE 11-13-0538-00-0hew-r2 Submission Evaluation criteria Average user throughput –Averaged over all STA in building 5 Percentile of User Throughput Cumulative Distribution Function –95% of STA in building have a higher throughput May 2013 Klaus Doppler, NokiaSlide 6

7. Doc. No. IEEE 11-13-0538-00-0hew-r2 Submission Results 10Mpbs/10Mbps Throughput drops fast if #active BSS higher than 10 Lowest 5% of users get less than 1Mbps if #active BSS higher than 17 Slide 7 Klaus Doppler, Nokia 20Mbps Average User Throughput (Mbps) 5 percentile of user throughput CDF 20Mbps May 2013

8. Doc. No. IEEE 11-13-0538-00-0hew-r2 Submission Input for 5 criteria HEW shall achieve 2-3 times the average BSS throughput compared to 802.11ac in a multi-floor building with dense deployment of Wi-Fi networks HEW shall increase 4-10 times the 5 percentile of the user throughput Cumulative Distribution Function compared to 802.11ac in a multi-floor building with a dense deployment of Wi-Fi networks May 2013 Klaus Doppler, NokiaSlide 8

9. Doc. No. IEEE 11-13-0538-00-0hew-r2 Submission Appendix Simulation scenario details May 2013 Klaus Doppler, NokiaSlide 9

10. Doc. No. IEEE 11-13-0538-00-0hew-r2 Submission Network topology and device locations Multi-floor building –5 floors –2x10 room in each floor –Room size:10m x 10m x 3m AP locations (assuming n APs): 1.Randomly select n rooms in the building 2.Place an AP in the middle of each selected room 3.Re-randomize for each simulation run STA locations: –In each room that has an AP, place two STAs in random xy-locations (uniform distribution) at 1.5m above floor level May 2013 Klaus Doppler, NokiaSlide 10

11. Doc. No. IEEE 11-13-0538-00-0hew-r2 Submission Pathloss model May 2013 where d is the xy-distance in meters and break point distance d BP is 5m. If i and j are on different floors, we further add floor attenuation factor according to the table below.** Pathloss between antenna i and antenna j is calculated with the following formula*: * V. Erceg and et. al., TGn Channel Models, IEEE P802.11 Wireless LANs Std. IEEE 802.11-03/940r4, May 2004 ** S. Y. Seidel and T. S. Rappaport, 914 MHz path loss prediction models for wireless communications in multifloored buildings, IEEE Trans. Antennas Propagat., vol. 40, no.2, pp. 207-217, Feb. 1992. (used in.11ah) Note1: Distances below d BP considered LOS, above NLOS. Note2: Steeper slope after d BP includes the effect of indoor walls and no other wall attenuation factors are added. Klaus Doppler, NokiaSlide 11

12. Doc. No. IEEE 11-13-0538-00-0hew-r2 Submission Misc parameters and settings System: IEEE 802.11n Bandwidth: 20MHz Carrier frequency: 5GHz Traffic model –Constant Bit Rate both uplink and downlink 10Mbps/user Generate a packet of 1000 bytes once every 0.8ms Antenna configuration –2x2 Aggregation –MPDU: max 20 –MSDU: max 2 May 2013 RTS/CTS: off TxP AP 23dBm STA 16 dBm Block Acknowledgement: Enabled Link Adaptation: enabled CW AP max 511 AP min 31 STA max 1023 STA min 63 Access class Best Effort AIFSN AP 6 STA 6 Klaus Doppler, NokiaSlide 12