BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Talks.cam//talks.cam.ac.uk//
X-WR-CALNAME:Talks.cam
BEGIN:VEVENT
SUMMARY:Pushing the Limits of Localization and Capacity in Today's Wi-Fi N
 etworks - Jie Xiong\, University College London
DTSTART:20150319T100000Z
DTEND:20150319T110000Z
UID:TALK58443@talks.cam.ac.uk
CONTACT:Microsoft Research Cambridge Talks Admins
DESCRIPTION:Wireless networks are ubiquitous and play an important role in
  our everyday life but two notable grand challenges remain to be solved.  
 Firstly\, while we have GPS in the outdoor environment\, indoor localizati
 on at a sub-meter granularity remains challenging due to a number of facto
 rs\, including the presence of strong wireless reflections indoors and the
  burden of deploying and maintaining any additional location service infra
 structure.  Secondly\, wireless congestion remains an issue during times o
 f peak load.  The latest 802.11ac standard offers a gigabit theoretical tr
 ansmission rate\, but still lags far behind wired transmission rates\, whi
 ch can be up to terabits per second.  One recent trend of dramatically inc
 reasing numbers of antennas at the indoor access point\, mainly to bolster
  capacity\, brings us unique opportunities to address both above challenge
 s.  In this talk\, I will discuss two systems I have built that leverage t
 his opportunity.  The first\, ArrayTrack\, is an indoor location system th
 at employs angle-of-arrival (AoA) techniques to track wireless clients at 
 a very fine granularity in real time. ArrayTrack is the first localization
  system hosted on Wi-Fi infrastructure to achieve accuracy below 50 cm via
  a novel reflection-path identification scheme. The second system\, MIDAS\
 , is an approach based on distributed antenna deployment that significantl
 y increases the throughput performance of the latest 802.11ac networks and
  at the same time\, mitigates the well-known hidden terminal issue.
LOCATION:Auditorium\, Microsoft Research Ltd\, 21 Station Road\, Cambridge
 \, CB1 2FB
END:VEVENT
END:VCALENDAR