text-only page produced automatically by Usablenet Assistive Skip all navigation and go to page content Skip top navigation and go to directorate navigation Skip top navigation and go to page navigation
National Science Foundation
design element
Search Awards
Recent Awards
Presidential and Honorary Awards
About Awards
Grant Policy Manual
Grant General Conditions
Cooperative Agreement Conditions
Special Conditions
Federal Demonstration Partnership
Policy Office Website

Award Abstract #1420651

CIF:Small: Collaborative Research:Theoretical Foundation of Distributed Wireless Channel Access

Division of Computing and Communication Foundations
divider line
Initial Amendment Date: July 25, 2014
divider line
Latest Amendment Date: July 25, 2014
divider line
Award Number: 1420651
divider line
Award Instrument: Standard Grant
divider line
Program Manager: Richard Brown
CCF Division of Computing and Communication Foundations
CSE Direct For Computer & Info Scie & Enginr
divider line
Start Date: September 1, 2014
divider line
End Date: August 31, 2017 (Estimated)
divider line
Awarded Amount to Date: $250,000.00
divider line
Investigator(s): Anthony Ephremides tony@eng.umd.edu (Principal Investigator)
divider line
Sponsor: University of Maryland College Park
3112 LEE BLDG 7809 Regents Drive
COLLEGE PARK, MD 20742-5141 (301)405-6269
divider line
divider line
Program Reference Code(s): 7923, 7935
divider line
Program Element Code(s): 7797


Due to lack of fundamental understanding on how to share wireless media among spatially distributed users, the energy consumption and bandwidth efficiency of wireless networks remains defficient and highly suboptimal. Prior investigations of wireless channel access have followed two separate paths that reflect vastly different viewpoints; namely, the traditional information-theoretic approach assumes perfect user coordination and ignores the modularized network architecture, while the traditional network-theoretic approach largely focuses on access control protocols and ignores the impact of the physical layer. This project will bridge the gap of the classical theories by developing a theoretical foundation for channel access in distributed wireless systems. More specifically, it will extend classical information theory by developing a channel coding theory for physical layer distributed communication, where users do not jointly design channel codes. It will also extend classical network theory by developing a medium access control (MAC) framework for distributed networking, where physical layer properties, such as joint multiuser message decoding and flexible adaptation of communication parameters, are efficiently exploited at the link layer.

The project contains two parts which respectively address the physical and the data link layers of distributed wireless networks. In Part I of the project, the goal is to develop a rigorous coding theory to characterize the fundamental limitis of distributed communication systems. The coding theory will support extensive communication performance tradeoffs and structured coding schemes with low computational complexity. Part II of the project contains three steps. The objective of the first step is to characterize optimal link layer distributed channel sharing schemes, their fundamental properties and performance improvements over classical schemes. The objective of the second step is to develop a unified MAC framework to achieve asymptotic optimal channel sharing in distributed networks via the joint adaptation of communication parameters (e.g., rate, power, transmission probability). The objective of the third step is to develop MAC algorithms with fast convergence properties that ensure efficient network operation in transient environments.

By extending information theory to distributed communication models, the project will advance the integration of information and network theories, and significantly improve the energy and bandwidth efficiency of wireless systems. Unification of the two classical theories will also influence the way modern communication network subjects are taught in Higher Education and attract more talented students to this field of acute national importance.


Note:  When clicking on a Digital Object Identifier (DOI) number, you will be taken to an external site maintained by the publisher. Some full text articles may not yet be available without a charge during the embargo (administrative interval).

Some links on this page may take you to non-federal websites. Their policies may differ from this site.

S. Kompella, G. Nguyen, C. Kam, J. Wieselthier, A. Ephremides. "Cooperation in Cognitive Underlay Networks: Stable Throughput Trade-offs," IEEE/ACM Transactions on Networking, v.22, 2014, p. 1756.


Please report errors in award information by writing to: awardsearch@nsf.gov.



Print this page
Back to Top of page
Research.gov  |  USA.gov  |  National Science Board  |  Recovery Act  |  Budget and Performance  |  Annual Financial Report
Web Policies and Important Links  |  Privacy  |  FOIA  |  NO FEAR Act  |  Inspector General  |  Webmaster Contact  |  Site Map
National Science Foundation Logo
The National Science Foundation, 4201 Wilson Boulevard, Arlington, Virginia 22230, USA
Tel: (703) 292-5111, FIRS: (800) 877-8339 | TDD: (800) 281-8749
  Text Only Version