NeTS: Small: Collaborative: PHY-Informed Networking (PHY-IN): Rethinking Wireless Protocol Design with the Knowledge of PHY

Information

  • NSF Award
  • 1017871
Owner
  • Award Id
    1017871
  • Award Effective Date
    9/1/2010 - 13 years ago
  • Award Expiration Date
    8/31/2013 - 10 years ago
  • Award Amount
    $ 37,290.00
  • Award Instrument
    Standard Grant

NeTS: Small: Collaborative: PHY-Informed Networking (PHY-IN): Rethinking Wireless Protocol Design with the Knowledge of PHY

Traditionally, there has been an isolation of responsibilities of<br/>physical layer (PHY) and higher layers of the network stack leading to<br/>severe inefficiencies in bandwidth-limited wireless<br/>networks. Remedying these inefficiencies requires rethinking and<br/>redesigning wireless protocols such that higher layers and PHY work in<br/>synergy. This project explores three schemes under the PHY-Informed<br/>Networking (PHY-IN) framework. 1) Carrier Sense Multiple Access with<br/>Collision Notification (CSMA/CN) mechanism detects and aborts<br/>collisions, breaking away from the existing collision avoidance<br/>(CSMA/CA) based schemes such as 802.11. 2) Constellation BAsed Rate<br/>(CBAR) adaptation scheme jumps to the best feasible rate suitable for<br/>a varying channel. 3) Remap scheme permutes bit-to-subcarrier<br/>assignment for a retransmission to improve the chances of its success.<br/>The PHY-IN framework has the potential to impact the landscape of<br/>future wireless networking protocols. Apart from mentoring both<br/>undergraduate and graduate students into independent researchers, this<br/>project, involving an EPSCoR university and a research lab, will also<br/>help broaden the participation and industry collaboration.

  • Program Officer
    Min Song
  • Min Amd Letter Date
    7/15/2010 - 13 years ago
  • Max Amd Letter Date
    7/15/2010 - 13 years ago
  • ARRA Amount

Institutions

  • Name
    Lucent Technologies Bell Laboratories
  • City
    Murray Hill
  • State
    NJ
  • Country
    United States
  • Address
    600 Mountain Avenue
  • Postal Code
    079740636
  • Phone Number
    9087433985

Investigators

  • First Name
    Li Erran
  • Last Name
    Li
  • Email Address
    erranlli@research.bell-labs.com
  • Start Date
    7/15/2010 12:00:00 AM