Characterizing Home Wireless Performance: The Gateway View Ioannis Pefkianakis* H. Lundgren^, A. Soule^, J. Chandrashekar^, P. Guyadec^, C. Diot^, M. May^,

Slides:



Advertisements
Similar presentations
© 2008 AT&T Intellectual Property. All rights reserved. AT&T and the AT&T logo are trademarks of AT&T Intellectual Property. The Path to 4G April 2, 2008.
Advertisements

Optimal Collaborative Access Point Association In Wireless Networks Ouldooz Baghban Karimi School of Computing Science Simon Fraser University Jiangchuan.
FM-BASED INDOOR LOCALIZATION TsungYun 1.
1 The ‘MIMO Junior’ 11n outdoor Bridging CPE A new outdoor bridging device giving connections up to 300Meg.
Chapter 6 Wireless and Mobile Networks Computer Networking: A Top Down Approach 6 th edition Jim Kurose, Keith Ross Addison-Wesley March 2012 A note on.
1 Link Layer Multicasting with Smart Antennas: No Client Left Behind Souvik Sen, Jie Xiong, Rahul Ghosh, Romit Roy Choudhury Duke University.
Characterization of Wireless Networks in the Home Presented by: Rick Skowyra Paul Freitas Mark Yavis, Konstantina Papagiannaki, W. Steven Conner.
6: Wireless and Mobile Networks6-1 Chapter 6 Wireless and Mobile Networks A note on the use of these ppt slides: We’re making these slides freely available.
Overview r Ethernet r Hubs, bridges, and switches r Wireless links and LANs.
Characterization of Wireless Networks in the Home Mark Yarvis, Konstantina Papagiannaki, and W. Steven Conner Presented by Artur Janc, Eric Stein.
Mesh Networking: Building, managing, and the works Suman Banerjee Wisconsin Wireless and NetworkinG Systems (WiNGS) Laboratory.
By Abdullah Al-Dossary Ahmad Al-Suhaibani
6-1 Elements of a wireless network network infrastructure wireless hosts r laptop, PDA, IP phone r run applications r may be stationary (non-mobile) or.
6: Wireless and Mobile Networks Wireless LANs.
1. 2 Enterprise WLAN setting 2 Vivek Shrivastava Wireless controller Access Point Clients Internet NSDI 2011.
Effects of a Bad Channel on the overall WLAN Performance. CS577 Advanced Networking Spring 05 Ashish Samant, Jon Gretarsson, Feng Li {Asamant, jontg,
Wireless “ESP”: Using Sensors to Develop Better Network Protocols Hari Balakrishnan Lenin Ravindranath, Calvin Newport, Sam Madden M.I.T. CSAIL.
1 Understanding and Mitigating the Impact of RF Interference on Networks Ramki Gummadi (MIT), David Wetherall (UW) Ben Greenstein (IRS), Srinivasan.
5-1 Data Link Layer r What is Data Link Layer? r Wireless Networks m Wi-Fi (Wireless LAN) r Comparison with Ethernet.
Observing Home Wireless Experience through WiFi APs MobiCom ‘13 September 2013 A.Patro, S. Govindan, S. Banerjee University of Wisconsin Madison Presented.
WiMAX Presented By Ch.Srinivas Koundinya 118T1A0435.
1 Wireless and Mobile Networks EECS 489 Computer Networks Z. Morley Mao Monday March 12, 2007 Acknowledgement:
Overview of Broadband Technology Platforms Chris Moore, Deputy Chief Wireless Telecommunications Bureau Regional Educational Workshop On Rural Broadband.
Fundamental of wireless network.  Heinrich Hertz discovered and first produced radio waves in 1888 and by 1894 the modern way to send a message over.
Packet Loss Characterization in WiFi-based Long Distance Networks Authors : Anmol Sheth, Sergiu Nedevschi, Rabin Patra, Lakshminarayanan Subramanian [INFOCOM.
6: Wireless and Mobile Networks6-1 Elements of a wireless network network infrastructure wireless hosts r laptop, PDA, IP phone r run applications r may.
Chapter 6 Wireless and Mobile Networks Computer Networking: A Top Down Approach 6 th edition Jim Kurose, Keith Ross Addison-Wesley March 2012 A note on.
Chapter 6 Wireless and Mobile Networks Link Layer5-1 Computer Networking: A Top Down Approach 6 th edition Jim Kurose, Keith Ross Addison-Wesley Chapter6_1.
Wireless Networking & Mobile Computing CS 752/852 - Spring 2012 Tamer Nadeem Dept. of Computer Science Lec #7: MAC Multi-Rate.
Chapter 6 Wireless and Mobile Networks Computer Networking: A Top Down Approach 6 th edition Jim Kurose, Keith Ross Addison-Wesley March 2012 Wireless,
6: Wireless and Mobile Networks6-1 Chapter 6 Wireless and Mobile Networks Computer Networking: A Top Down Approach Featuring the Internet, 3 rd edition.
Chapter 6 Wireless and Mobile Networks Computer Networking: A Top Down Approach 6 th edition Jim Kurose, Keith Ross Addison-Wesley March 2012 Wireless,
Computer networks 6: Wireless and Mobile Networks.
Wireless Networks CSE 3461: Introduction to Computer Networking Reading: §§6.1–6.3, Kurose and Ross 1.
Adapted from: Computer Networking, Kurose/Ross 1DT066 Distributed Information Systems Chapter 6 Wireless, WiFi and mobility.
Wireless, Mobile Networks6-1 Chapter 6: Wireless and Mobile Networks Background:  # wireless (mobile) phone subscribers now exceeds # wired phone subscribers!
Advance Computer Networks Lecture#11 Instructor: Engr. Muhammad Mateen Yaqoob.
Capacity of Wireless Mesh Networks: Comparing Single- Radio, Dual-Radio, and Multi- Radio Networks By: Alan Applegate.
Doc.: IEEE /124r0 Submission January 2003 Byoung-Jo “J” KimSlide 1 RRM Requirements for Public WLAN Service Provider Byoung-Jo “J” Kim AT&T Labs-Research.
ECE 4450:427/527 - Computer Networks Spring 2015
Lecture 1 Wireless Networks CPE 401/601 Computer Network Systems slides are modified from Jim Kurose & Keith Ross All material copyright J.F.
Characterizing and Modeling the Impact of Wireless Signal Strength on Smartphone Battery Drain Ning Ding Xiaomeng Chen Abhinav Pathak Y. Charlie Hu 1 Daniel.
Wireless: Facts and Fiction Benjamin Friedlander Department of Electrical Engineering University of California at Santa Cruz Wireless Communications and.
By Omkar KiraniSridhara Chaitanya Sannapureddy Vivek Gupta 1.
Network Basics. Outline Objective Types of Networks LAN Topologies LAN Networking Standards Network Devices Dial-Up Access Ethernet Wiring Summary References.
UNIVERSITY OF PATRAS Department of Electrical & Computer Engineering Wireless Telecommunications Laboratory M. Tsagkaropoulos “Securing.
Noisy Times in Wireless Welcome to Our World. WiMAX Those who cannot remember the past are condemned to repeat it. - George Santayana June 3 rd 2008 Wi-Fi:
6: Wireless and Mobile Networks6-1 Chapter 6 Wireless and Mobile Networks Computer Networking: A Top Down Approach Featuring the Internet, 3 rd edition.
Infrastructure Mobility: A What-If Analysis Mahanth Gowda Nirupam Roy Romit Roy Choudhury.
MOJO: A Distributed Physical Layer Anomaly Detection System for WLANs Richard D. Gopaul CSCI 388.
Sunghwa Son Introduction Time-varying wireless channel  Large-scale attenuation Due to changing distance  Small-scale fading Due to multipath.
Packet Dispersion in IEEE Wireless Networks Mingzhe Li, Mark Claypool and Bob Kinicki WPI Computer Science Department Worcester, MA 01609
Doc.: IEEE /0648r0 Submission May 2014 Chinghwa Yu et. al., MediaTekSlide 1 Performance Observation of a Dense Campus Network Date:
Wireless and Mobility The term wireless is normally used to refer to any type of electrical or electronic operation which is accomplished without the use.
Chapter 6 Wireless and Mobile Networks Computer Networking: A Top Down Approach 6 th edition Jim Kurose, Keith Ross Addison-Wesley March 2012 Wireless,
Submission doc.: IEEE 11-13/0523r2 May 2013 Katsuo Yunoki, KDDI R&D LaboratoriesSlide 1 Understanding Current Situation of Public Wi-Fi Usage - Possible.
Characterizing Home Wireless Performance: The Gateway View Ioannis Pefkianakis* H. Lundgren^, A. Soule^, J. Chandrashekar^, P. Guyadec^, C. Diot^, M. May^,
How Bad Are The Rogues’ Impact on Enterprise Network Performance ? Kaixin Sui, Dan Pei, Youjian Zhao, Zimu Li Tsinghua University.
Outsourcing Coordination and Management of Home Wireless Access Points through an Open API Ashish Patro Prof. Suman Banerjee University of Wisconsin Madison.
Outsourcing Coordination and Management of Home Wireless Access Points through an Open API Ashish Patro* Prof. Suman Banerjee University of Wisconsin Madison.
Performance Evaluation of Mobile Hotspots in Densely Deployed WLAN Environments Presented by Li Wen Fang Personal Indoor and Mobile Radio Communications.
CO5023 Wireless Networks. Varieties of wireless network Wireless LANs: the main topic for this week. Consists of making a single-hop connection to an.
Observing Home Wireless Experience through WiFi APs MobiCom ‘13 September 2013 A.Patro, S. Govindan, S. Banerjee University of Wisconsin Madison Presented.
Connecting the Home to Broadband Reliably Without Wires…
Wired and Wireless network management 1. outline 2 Wireless applications Wireless LAN Wireless LAN transmission medium WLAN modes WLAN design consideration.
CS 1652 Wireless and Mobile Networks Jack Lange University of Pittsburgh 1.
Chapter 6 Wireless and Mobile Networks Computer Networking: A Top Down Approach 6 th edition Jim Kurose, Keith Ross Addison-Wesley March 2012 A note on.
ICT Unit 4: Network and the effects of using them
Chapter 6 Wireless and Mobile Networks
Month Year doc.: IEEE /0523r0 May 2013
Presentation transcript:

Characterizing Home Wireless Performance: The Gateway View Ioannis Pefkianakis* H. Lundgren^, A. Soule^, J. Chandrashekar^, P. Guyadec^, C. Diot^, M. May^, K. Doorselaer^, K. Oost^ HP Labs*Technicolor^

Today’s Residential WLANs Wireless gateway WiFi repeater Tablet Wireless baby monitor Wireless gateway Laptop Smartphone Microwave oven Multitude of Wi-Fi devices running high-bandwidth apps

ISPs Strive to Understand Wi-Fi Home Nets What and how many devices dominate the traffic? What is the wireless performance? How often do users experience poor performance? What is behind poor performance?

Existing Approaches on Understanding Home Nets’ Performance The customized-AP approach allows for fine time scale measurements from all the devices connected to the AP –[WiSe, MOBICOM’13], [Papagiannaki et al., INFOCOM’13], [BISMark] –Small-scale deployments of technically inclined volunteers The end-host measurement tools run as apps and collect feedback at the client side –[Home Net Profiler, PAM’13] –One shot measurements, limited application-level feedback Our approach: Collect data from the home gateways of the subscribers of a large ISP under normal service operation

Outline Measurement infrastructure and deployment Metrics Wi-Fi environment and traffic dynamics Wireless performance Root cause of performance bottlenecks

Measurement Infrastructure Broadband Network Dashboard Controller Data storage WiFi repeater Tablet Wireless baby monitor b/g/n wireless gateway OSGI Bundle Passive measurements from subscribers’ gateways

Why Home Gateways? Gateways offer a complete view of the home network –Continuously monitor all the devices connected to the gateway –Observe neighboring Wi-Fi networks –Capture both wireless link performance and traffic dynamics Using existing infrastructure allows for large-scale, more diverse deployment

Dataset 167 gateways (71% fiber, 29% ADSL) in 10 different cities gateways report every 30 seconds 4-month (June-September 2013) collection campaign 1328 Wi-Fi devices detected

Metrics What we have –PHY rate Performance indicator –RSSI Wireless coverage metric –Traffic counters –Neighboring SSIDs and their RSSI’s What we miss –Frame losses –Channel contention –We cannot capture the actual wireless throughput

How to Capture Wireless Problems? Coverage Interference Wireless gateway Tablet weak signal (low RSSI) Map RSSI to Speed (in RF chamber) RSSI (dBm)Expected PHY rate (R E ) [min, -88]6.5 Mbps …… [-70, max]65 Mbps Wireless gateway Tablet Wireless baby monitor loss PHY rate R drops but RSSI remains the same RateGap = Rate_index(R E )-Rate_index(R)

Metrics: Putting Everything Together High R E Low R E High R good performancepoor performance (RA dynamics) Low R poor performance (interference/RA dynamics) poor performance (poor coverage)

Wireless, Mobile Networks : advanced capabilities Rate adaptation base station, mobile dynamically change transmission rate (physical layer modulation technique) as mobile moves, SNR varies QAM256 (8 Mbps) QAM16 (4 Mbps) BPSK (1 Mbps) SNR(dB) BER operating point 1. SNR decreases, BER increase as node moves away from base station 2. When BER becomes too high, switch to lower transmission rate but with lower BER

Outline Measurement infrastructure and deployment Metrics Wi-Fi environment and traffic dynamics Wireless performance Root cause of performance bottlenecks

Wi-Fi Environment High penetration of the newer n devices –0.5%.11b, 42.5%.11g, 45.5%.11n 1x1, 11.5%.11n 2x2 Diversity in the number of Wi-Fi home devices (1 to 25) –Median home has 4 resident devices (i.e., observed for several days)

Wireless, Mobile Networks6-15 Characteristics of selected wireless links Indoor 10-30m Outdoor m Mid-range outdoor 200m – 4 Km Long-range outdoor 5Km – 20 Km G: IS-95, CDMA, GSM 2.5G: UMTS/WCDMA, CDMA b a,g 3G: UMTS/WCDMA-HSPDA, CDMA2000-1xEVDO 4G: LTWE WIMAX a,g point-to-point n Data rate (Mbps)

Wi-Fi Traffic Dynamics Traffic is generated by a few devices 3 Wi-Fi devices generated the most traffic in 70% of the homes … during evening times

Outline Measurement infrastructure and deployment Metrics Wi-Fi environment and traffic dynamics Wireless performance Root cause of performance bottlenecks

18 What is Home Wireless Performance? Wireless link performance (i.e., PHY rate) is overall good! Effective (f(PHY Rate, overheads)) higher than actual throughput … but there are still performance bottlenecks (for 7.6% of the samples PHY rate <=6.5Mbps) throughput gap > 20Mbps for most of the homes

Performance Variation Across Homes The fraction of poor performance episodes varies across homes for most of the homes poor episodes are ≤ 6% Poor performance episodes can be up to 66%

20 Root Cause of Poor Performance Metric: Convert RSSI signals to an expected link speed (PHY Rate) Wireless coverage is not likely a cause of poor performance 78% of the transmissions at the peak expected PHY rate

Root Cause of Poor Performance Poor performance can be caused by interference and PHY rate adaptation dynamics High RateGap can lead to poor performance for 18% of the instances RateGap>4 RateGap varies across homes The peak RateGap corresponds to the 2 homes with the highest poor performance instances

Interference Causes Contention from in-home Wi-Fi devices is low –For the majority of homes (78%) local contention is less than 10% –Interference can be attributed to external sources (non-Wi-Fi devices, neighboring Wi-Fi networks) There is no strong correlation between Wi-Fi performance and the density of the neighboring Wi-Fi environment.

Conclusion We study Wi-Fi home networks of the subscribers of a large ISP Wireless link performance (i.e., PHY rate) is overall good We still identify instances of poor performance, where we eliminate poor coverage to be their root cause ISPs’ helpdesk calls for wireless problems may not be attributed to the wireless link –… but to gateway misconfigurations, authentication problems, end-device issues

Thank you!