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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:
Name Affiliations Address Phone emailMinho Cheong NEWRACOM 193 Moonjiro,
Yuseong-Gu, Daejeon, Korea
+82-42-860-5635 minho.cheong@newracom.com
Hyoung Jin Kwon NEWRACOM 193 Moonjiro, Yuseong-Gu, Daejeon, Korea
+82-42-860-1698 hj.kwon@newracom.com
Jae Seung Lee ETRI jasonlee@etri.re.kr
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. 2014
Slide 2 Minho Cheong (NEWRACOM)
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 802.11n/ac channel model) or outdoor (from WINNER or ITU model), we need to consider the following environments as well
Slide 3 Minho Cheong (NEWRACOM)
AP
My STA(smart phone)
Mar. 2014
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 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
Measurement Campaign
Mar. 2014
Slide 4 Minho Cheong (NEWRACOM)
Mobile AP
Jperf server (wired)Laptop
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. 2014
Slide 5 Minho Cheong (NEWRACOM)
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/m2 (very few), 0.25 people/m2(some people), 0.5 people/1m2 (crowded)
PHY Measurement results of DL traffic
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
Mar. 2014
Slide 6 Minho Cheong (NEWRACOM)
Mobile AP
Jperf server (wired)Laptop
doc.: IEEE 11-14/0112r1
Submission
MAC Measurement results of DL traffic
Mar. 2014
Minho Cheong (NEWRACOM)
• 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 % 6 % 6 %
Slide 7
Retry rate 0.05 people/m2 0.25 people/m2 0.5 people/m2
Retry rate 11 % 12 % 24 %
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. 2014
Slide 8 Minho Cheong (NEWRACOM)
doc.: IEEE 11-14/0112r1
Submission
References
• [1] 11-13-1113-00-0hew-channel-modeling-for-dense-Wi-Fi-environments
Mar. 2014
Slide 9 Minho Cheong (NEWRACOM)
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