Major advances in dynamic spectrum management and the inevitable deregulation of large portions of the radio spectrum will revolutionize future wireless networks, services, and applications. This will lead to an era of spectrum efficient cognitive radios that will enable the deployment of radically different radio architectures, algorithms, and protocols over the next decade. This project is studying the design of a new programmable media access control (MAC) layer for this new environment. The MAC must regulate how future programmable radio devices can efficiently interact with each other using spectrum-aware communication algorithms. In our study, we model the MAC design as decision problems using tools from decision sciences such as stochastic control, optimization, graph theory and estimation theory. We validate the design of the MAC through an experimental implementation consisting of programmable radios. The expected results from the research include the design of a programmable MAC system that can enable a class of new applications, including enhanced reliability communications and spectrum-efficient group communications. The resulting implementation of the proposed programmable MAC platform and its software will enable the development of new intelligent spectrum-aware algorithms and applications. The results of the research will provide a set of foundation algorithms that can be used by the community developing new spectrum-aware radio systems. The research facilitates several life-critical activities e.g., search and rescue missions and disaster relief operations. The research will also enrich the education curriculum of the participating institutions and foster the participation of under-represented groups in engineering.

Agency
National Science Foundation (NSF)
Institute
Division of Computer and Network Systems (CNS)
Type
Standard Grant (Standard)
Application #
0435306
Program Officer
Alhussein A. Abouzeid
Project Start
Project End
Budget Start
2004-09-15
Budget End
2008-08-31
Support Year
Fiscal Year
2004
Total Cost
$255,000
Indirect Cost
Name
University of Pennsylvania
Department
Type
DUNS #
City
Philadelphia
State
PA
Country
United States
Zip Code
19104