Adaptive dynamic radio open-source intelligent team (ADROIT): Cognitively-controlled collaboration among SDR nodes

Grecory D. Troxel; Eric Blossom; Steve Boswell; Armando Caro; Isidro Castineyra; Alex Colvin; Tad Dreier; Joseph B. Evans; Nick Goffee; Karen Zita Haigh; Talib Hussain; Vikas Kawadia; David Lapsley; Carl Livadas; Alberto Medina; Joanne Mikkelson; Gary J. Minden; Robert Morris; Craig Partridge; Vivek Raghunathan; Ram Ramanathan; Cesar Santivanez; Thomas Schmid; Dan Sumorok; Mani Srivastava; Robert S. Vincent; David Wiggins; Alexander M. Wyglinski; Sadaf Zahedi; IEEE

doi:10.1109/SDR.2006.4286321

Conference proceeding

Adaptive dynamic radio open-source intelligent team (ADROIT): Cognitively-controlled collaboration among SDR nodes

Grecory D. Troxel, Eric Blossom, Steve Boswell, Armando Caro, Isidro Castineyra, Alex Colvin, Tad Dreier, Joseph B. Evans, Nick Goffee, Karen Zita Haigh, …

2006 1ST IEEE WORKSHOP ON NETWORKING TECHNOLOGIES FOR SOFTWARE DEFINED RADIO NETWORKS, pp.8-17

01/01/2006

DOI: https://doi.org/10.1109/SDR.2006.4286321

Abstract

Computer Science

Computer Science, Hardware & Architecture

Engineering

Engineering, Electrical & Electronic

Science & Technology

Technology

The ADROIT project is building an open-source software-defined data radio, intended to he controlled by cognitive applications. The goal is to create a system that enables teams of radios, where each radio both has its own cognitive controls and the ability to collaborate with other radios, to create cognitive radio teams. The desire to create cognitive radio teams, and the goal of having an open-source system, requires a rich and carefully architected system that provides great flexibility (enabling cognitive applications to change the radio's behavior) and also has a clear structure (both so that others may add or enhance the software, and also so that the system can be clearly modeled for cognitive applications). What follows is a summary of the ADROIT system and the key architectural features intended to enable cognitive radio teams.

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Title: Adaptive dynamic radio open-source intelligent team (ADROIT): Cognitively-controlled collaboration among SDR nodes
Creators - without role: Grecory D. Troxel - BBN Technol, Cambridge, MA 02138 USA
Eric Blossom - Product Innovation and Engineering (United States, Saint James) - LLC
Steve Boswell - BBN Technologies, Cambridge MA 02138, USA
Armando Caro - BBN Technologies, Cambridge MA 02138, USA
Isidro Castineyra - BBN Technologies, Cambridge MA 02138, USA
Alex Colvin - BBN Technologies, Cambridge MA 02138, USA
Tad Dreier - University of California, Los Angeles
Joseph B. Evans - University of Kansas
Nick Goffee - BBN Technologies, Cambridge MA 02138, USA
Karen Zita Haigh - BBN Technologies, Cambridge MA 02138, USA
Talib Hussain - BBN Technologies, Cambridge MA 02138, USA
Vikas Kawadia - BBN Technologies, Cambridge MA 02138, USA
David Lapsley - BBN Technologies, Cambridge MA 02138, USA
Carl Livadas - BBN Technologies, Cambridge MA 02138, USA
Alberto Medina - BBN Technol, Cambridge, MA 02138 USA
Joanne Mikkelson - BBN Technologies, Cambridge MA 02138, USA
Gary J. Minden - University of Kansas
Robert Morris - Massachusetts Institute of Technology
Craig Partridge - BBN Technologies, Cambridge MA 02138, USA
Vivek Raghunathan - BBN Technologies, Cambridge MA 02138, USA
Ram Ramanathan - BBN Technologies, Cambridge MA 02138, USA
Cesar Santivanez - BBN Technologies, Cambridge MA 02138, USA
Thomas Schmid - Electrical Engineering Department, UCLA, Los Angeles, CA 90095 USA Email: mbs@ee.ucla.edu
Dan Sumorok - BBN Technologies, Cambridge MA 02138, USA
Mani Srivastava - Electrical Engineering Department, UCLA, Los Angeles, CA 90095 USA Email: mbs@ee.ucla.edu
Robert S. Vincent - BBN Technol, Cambridge, MA 02138 USA
David Wiggins - BBN Technologies, Cambridge MA 02138, USA
Alexander M. Wyglinski - University of Kansas
Sadaf Zahedi - Electrical Engineering Department, UCLA, Los Angeles, CA 90095 USA Email: mbs@ee.ucla.edu
IEEE
Publication Details: 2006 1ST IEEE WORKSHOP ON NETWORKING TECHNOLOGIES FOR SOFTWARE DEFINED RADIO NETWORKS, pp.8-17
Publisher: IEEE
Number of pages: 2
Grant note: NBCHCO50166 / Defense Advanced Research Projects Agency (DARPA); United States Department of Defense
Identifiers: 9932132308331
Academic Unit: University Ha'il
Language: English
Resource Type: Conference proceeding