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Proceedings Paper

High fidelity wireless network evaluation for heterogeneous cognitive radio networks
Author(s): Lei Ding; Yalin Sagduyu; Justin Yackoski; Babak Azimi-Sadjadi; Jason Li; Renato Levy; Tammaso Melodia
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Paper Abstract

We present a high fidelity cognitive radio (CR) network emulation platform for wireless system tests, measure- ments, and validation. This versatile platform provides the configurable functionalities to control and repeat realistic physical channel effects in integrated space, air, and ground networks. We combine the advantages of scalable simulation environment with reliable hardware performance for high fidelity and repeatable evaluation of heterogeneous CR networks. This approach extends CR design only at device (software-defined-radio) or lower-level protocol (dynamic spectrum access) level to end-to-end cognitive networking, and facilitates low-cost deployment, development, and experimentation of new wireless network protocols and applications on frequency- agile programmable radios. Going beyond the channel emulator paradigm for point-to-point communications, we can support simultaneous transmissions by network-level emulation that allows realistic physical-layer inter- actions between diverse user classes, including secondary users, primary users, and adversarial jammers in CR networks. In particular, we can replay field tests in a lab environment with real radios perceiving and learning the dynamic environment thereby adapting for end-to-end goals over distributed spectrum coordination channels that replace the common control channel as a single point of failure. CR networks offer several dimensions of tunable actions including channel, power, rate, and route selection. The proposed network evaluation platform is fully programmable and can reliably evaluate the necessary cross-layer design solutions with configurable op- timization space by leveraging the hardware experiments to represent the realistic effects of physical channel, topology, mobility, and jamming on spectrum agility, situational awareness, and network resiliency. We also provide the flexibility to scale up the test environment by introducing virtual radios and establishing seamless signal-level interactions with real radios. This holistic wireless evaluation approach supports a large-scale, het- erogeneous, and dynamic CR network architecture and allows developing cross-layer network protocols under high fidelity, repeatable, and scalable wireless test scenarios suitable for heterogeneous space, air, and ground networks.

Paper Details

Date Published: 24 May 2012
PDF: 12 pages
Proc. SPIE 8385, Sensors and Systems for Space Applications V, 83850R (24 May 2012); doi: 10.1117/12.919273
Show Author Affiliations
Lei Ding, Intelligent Automation, Inc. (United States)
Yalin Sagduyu, Intelligent Automation, Inc. (United States)
Justin Yackoski, Intelligent Automation, Inc. (United States)
Babak Azimi-Sadjadi, Intelligent Automation, Inc. (United States)
Jason Li, Intelligent Automation, Inc. (United States)
Renato Levy, Intelligent Automation, Inc. (United States)
Tammaso Melodia, State Univ. of New York at Buffalo (United States)


Published in SPIE Proceedings Vol. 8385:
Sensors and Systems for Space Applications V
Khanh D. Pham; Joseph L. Cox; Richard T. Howard; Henry Zmuda, Editor(s)

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