High Capacity Wireless Network Architectures Through Collaboration And Intelligent Information Storage

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Prof. Leandros Tassiulas (Yale University, New Haven, CT) will be giving a lecture on high capacity wireless network architectures through collaboration and intelligent information storage (Jack Keil Wolf Lecture Series). This lecture will be held at NYU Magnet, 2 MetroTech Center, Brooklyn, NY, in Room 800 (8th floor), on Thursday, Apr. 27, 2017, from 11 am until 12:30 pm.

The Jack Keil Wolf Lecture Series is being organized by the Center for Advanced Technology in Telecommunications (CATT) and is co-sponsored by the IEEE New York/North Jersey Information Theory Society Chapter.

Everyone is welcome to attend this meeting.

Please register in advance for this meeting using the registration link below to provide the meeting organizers an accurate head count. You can cancel the registration using the same link if your plans change.

For more information, please contact Prof. Shivendra Panwar (http://catt.poly.edu/~panwar), Prof. Elza Erkip (eeweb.poly.edu/~elza) and/or Dr. Adriaan van Wijngaarden (avw@ieee.org).



  Date and Time

  Location

  Hosts

  Registration



  • Date: 27 Apr 2017
  • Time: 11:00 AM to 12:30 PM
  • All times are (GMT-05:00) US/Eastern
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  • 2 MetroTech Center
  • Room 800 (8th floor)
  • Brooklyn, New York
  • United States 11201
  • Building: NYU Magnet
  • Click here for Map

  • Contact Event Host
  • Prof. Elza Erkip (eeweb.poly.edu/~elza; elza@nyu.edu), and Adriaan J. van Wijngaarden, IEEE New York/North Jersey Information Theory Society Chapter Chair, E-mail: avw@ieee.org

  • Co-sponsored by CATT, IEEE IT NY/NJ Chapter
  • Starts 05 April 2017 12:00 AM
  • Ends 26 April 2017 11:00 AM
  • All times are (GMT-05:00) US/Eastern
  • No Admission Charge


  Speakers

Leandros Tassiulas of Yale University

Topic:

High Capacity Wireless Network Architectures Through Collaboration And Intelligent Information Storage

Abstract - A significant portion of today’s network traffic is due to recurring downloads of popular content (e.g., movies, video clips and daily news). It has been observed that replicating the latter in caches installed at the network edge -close to the users- can drastically reduces network bandwidth usage and improve content access delay. The key technical issues in emergent caching architectures relate to the following questions: where to install caches, what content and for how long to cache, and how to manage the routing of content within the network. In this talk, an overview of caching is provided, starting with generic architectures that can be applied to different networking environments, and moving to emerging architectures that enable caching in wireless networks (e.g., at cellular base stations and WiFi access points). Novel challenges arise in the latter due to the inadequacy of wireless resources and their broadcast nature, the frequent hand- offs between different cells for mobile users, as well as the specific requirements of different types of user applications, such as video streaming. We will present our recent results on innovative caching approaches that (i) harvest idle user-owned cache space and bandwidth, (ii) leverage the broadcast nature of the wireless medium to serve concurrent requests for content (iii) exploit the regularity of user mobility patterns, and (iv) apply advanced video encoding techniques to support multiple video qualities (e.g., screen sizes, frame rates, or signal-to-noise ratio (SNR) qualities). These are cutting-edge approaches that can achieve significant performance and cost- reduction benefits over the state-of-the-art methods.

Biography:

Leandros Tassiulas is the John C. Malone Professor of Electrical Engineering at Yale University. His most notable contributions include the max-weight scheduling algorithm and the back-pressure network control policy, opportunistic scheduling in wireless, the maximum lifetime approach for wireless network energy management, and the consideration of joint access control and antenna transmission management in multiple antenna wireless systems. Dr. Tassiulas is a Fellow of IEEE (2007). His research has been recognized by several awards including the IEEE Koji Kobayashi computer and communications award 2016, the inaugural INFOCOM 2007 Achievement Award “for fundamental contributions to resource allocation in communication networks,” the INFOCOM 1994 best paper award, an NSF CAREER Award (1995), an Office of Naval Research Young Investigator Award (1997) and a Bodossaki Foundation award (1999). He holds a Ph.D. in Electrical Engineering from the University of Maryland, College Park (1991). He has held faculty positions at Polytechnic University, New York, University of Maryland, College Park, and University of Thessaly, Greece.

 

Address:New Haven, Connecticut, United States