Wi-Fi interference measurements in Korea (Part II)

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Wi-Fi interference measurements in Korea (Part II) May 2013 doc.: IEEE 802.11-12/xxxxr0 Mar. 2014 Wi-Fi interference measurements in Korea (Part II) Date: 2014-03-17 Authors: Name Affiliations Address Phone email Minho Cheong NEWRACOM 193 Moonjiro, Yuseong-Gu, Daejeon, Korea +82-42-860-5635 minho.cheong@newracom.com Hyoung Jin Kwon +82-42-860-1698 hj.kwon@newracom.com Jae Seung Lee ETRI jasonlee@etri.re.kr Minho Cheong (NEWRACOM) Osama Aboul-Magd (Huawei Technologies)

Mar. 2014 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. Minho Cheong (NEWRACOM)

Additional Path-loss due to Human Body Blockage [1] Mar. 2014 Additional Path-loss due to Human Body Blockage [1] In super-dense scenarios, in addition to general indoor (from 802.11n/ac channel model) or outdoor (from WINNER or ITU model), we need to consider the following environments as well AP My STA (smart phone) Minho Cheong (NEWRACOM)

Measurement Campaign Measurement schedule & Measurement spot Equipment Mar. 2014 Measurement Campaign Measurement schedule & Measurement spot Seoul Express Bus Terminal (indoor) in Seoul in January 2014 Equipment AirMagent Wi-Fi Analyzer Pro, Mobile AP, Jperf 2.0.2 Server Measurement done on 2.4GHz (channel 9) by 802.11g Measured DL PHY data rate from Laptop to mobile AP Measured & analyzed DL MAC packets from Laptop to mobile AP Mobile AP Jperf server (wired) Laptop Minho Cheong (NEWRACOM)

Measurement Campaign (2) Mar. 2014 Measurement Campaign (2) 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 Minho Cheong (NEWRACOM)

PHY Measurement results of DL traffic Mar. 2014 PHY Measurement results of DL traffic 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/m2 (very few), 0.25 people/m2(some people), 0.5 people/1m2 (crowded) Mobile AP Jperf server (wired) Laptop Average Rate 0.05 people/m2 0.25 people/m2 0.5 people/m2 PHY rate (Mbps) 15.045 6.281 1.391 # of packets/sec. 1496.18 1384.01 296.25 Minho Cheong (NEWRACOM)

MAC Measurement results of DL traffic Mar. 2014 MAC Measurement results of DL traffic 3 conditions tried per population density all the other conditions same 0.05 people/m2 (very few), 0.25 people/m2(some people), 0.5 people/1m2 (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/m2 0.25 people/m2 0.5 people/m2 Control frame, ACK 36 % 57 % 63 % Probe req./response 4 % 6 % 8 % Data frame 55 % 31 % 23 % Beacon & others 5 % Retry rate 0.05 people/m2 0.25 people/m2 0.5 people/m2 11 % 12 % 24 % Minho Cheong (NEWRACOM)

Mar. 2014 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) Minho Cheong (NEWRACOM)

Mar. 2014 References [1] 11-13-1113-00-0hew-channel-modeling-for-dense-Wi-Fi-environments Minho Cheong (NEWRACOM)