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Doc.: IEEE 11-14/0112r1 Submission Mar. 2014 Minho Cheong (NEWRACOM)Slide 1 Wi-Fi interference measurements in Korea (Part II) Date: 2014-03-17 Authors:

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Presentation on theme: "Doc.: IEEE 11-14/0112r1 Submission Mar. 2014 Minho Cheong (NEWRACOM)Slide 1 Wi-Fi interference measurements in Korea (Part II) Date: 2014-03-17 Authors:"— Presentation transcript:

1 doc.: IEEE 11-14/0112r1 Submission Mar Minho Cheong (NEWRACOM)Slide 1 Wi-Fi interference measurements in Korea (Part II) Date: Authors: NameAffiliationsAddressPhone Minho CheongNEWRACOM193 Moonjiro, Yuseong-Gu, Daejeon, Korea Hyoung Jin KwonNEWRACOM193 Moonjiro, Yuseong-Gu, Daejeon, Korea Jae Seung

2 doc.: IEEE 11-14/0112r1 Submission Abstract This presentation gives set of additional measurement results of Wi-Fi interferences in Seoul metropolitan area, especially depending on the deployment density of Wi-Fi devices, which will be helpful for problem setting of HEW. Mar Slide 2Minho Cheong (NEWRACOM)

3 doc.: IEEE 11-14/0112r1 Submission Additional Path-loss due to Human Body Blockage [1] In super-dense scenarios, in addition to general indoor (from n/ac channel model) or outdoor (from WINNER or ITU model), we need to consider the following environments as well Slide 3Minho Cheong (NEWRACOM) AP My STA (smart phone) Mar. 2014

4 doc.: IEEE 11-14/0112r1 Submission Measurement schedule & Measurement spot –Seoul Express Bus Terminal (indoor) in Seoul in January 2014 Equipment –AirMagent Wi-Fi Analyzer Pro, Mobile AP, Jperf Server Measurement done on 2.4GHz (channel 9) by g –Measured DL PHY data rate from Laptop to mobile AP –Measured & analyzed DL MAC packets from Laptop to mobile AP Measurement Campaign Mar Slide 4Minho Cheong (NEWRACOM) Mobile AP Jperf server (wired)Laptop

5 doc.: IEEE 11-14/0112r1 Submission Limitations on Measurements –So many moving people at all times –Not able to measure for a long time –because mobile AP used cannot hold large traffics AirMagnet Wi-Fi Analyzer –can gather all the Wi-Fi data –Overall or per specific SSID or MAC address –can analyze all the statistics of Wi-Fi signals Measurement Campaign (2) Mar Slide 5Minho Cheong (NEWRACOM)

6 doc.: IEEE 11-14/0112r1 Submission Measured DL packets from mobile AP to Laptop –Distance between them is 10m (in the middle of many people) 3 conditions tried per population density –all the other conditions same –0.05 people/m 2 (very few), 0.25 people/m 2 (some people), 0.5 people/1m 2 (crowded) PHY Measurement results of DL traffic Average Rate 0.05 people/ m people/ m people/ m 2 PHY rate (Mbps) # of packets/sec Mar Slide 6Minho Cheong (NEWRACOM) Mobile AP Jperf server (wired)Laptop

7 doc.: IEEE 11-14/0112r1 Submission MAC Measurement results of DL traffic Mar Minho Cheong (NEWRACOM) 3 conditions tried per population density –all the other conditions same –0.05 people/m 2 (very few), 0.25 people/m 2 (some people), 0.5 people/1m 2 (crowded) –The higher population density, the more controls & the less data frames –In addition, retry rate is highly sensitive due to different level of contentions Packet types 0.05 people/ m people/ m people/ m 2 Control frame, ACK36 %57 %63 % Probe req./response4 %6 %8 % Data frame55 %31 %23 % Beacon & others5 %6 % Slide 7 Retry rate 0.05 people/ m people/ m people/ m 2 Retry rate11 %12 %24 %

8 doc.: IEEE 11-14/0112r1 Submission Conclusions Measurements and analysis are done on dense Wi-Fi environments according to different level of population density As population density goes high, performance of Wi-Fi goes extremely degraded –Due to much more contentions with devices near by –Due to additional path loss by human-body blockage for my signal Solutions to dense Wi-Fi environments are strongly required so that we could also manage to use Wi-Fi in the future (explosion of number of Wi-Fi devices) Mar Slide 8Minho Cheong (NEWRACOM)

9 doc.: IEEE 11-14/0112r1 Submission References [1] hew-channel-modeling-for-dense- Wi-Fi-environments Mar Slide 9Minho Cheong (NEWRACOM)


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