Timothy R. Newman, Ph.D. Wireless @ VT Wireless @ Virginia Tech - PowerPoint PPT Presentation

Timothy R. Newman, Ph.D. Wireless @ VT

Wireless @ Virginia Tech � Wireless Umbrella Group � MPRG, CWT, VTVT, WML, Antenna Group, Time Domain Lab, DSPRL � Officially rolled ‐ out June 2006 � Currently 32 tenure ‐ track faculty and more than 111 students � Backlog in research growing � University providing initial financial support � Cognitive Networks targeted as strategic technical growth effort

Cognitive Radio Research Focus Areas � Interoperability between legacy radio systems � Focus on public safety systems (P25) � Dynamic Spectrum Access � Signal detection and classification � Distributed spectrum sensing � Cognitive Radio Networks � Distributed computing � Software ‐ Defined and Cognitive Radio Security � Software Assurance � DSA Security Analysis � Distributed Cognitive Radio Network Trust

An Open Systems Approach for Rapid Prototyping Waveforms for SDR � Faculty: J.H. Reed, W.H. Tranter, R.M. Buehrer, and C.B. Dietrich � Funding: NSF, SAIC, Tektronix, TI, ONR, LTS � Description: Work is ongoing in four major areas: � Open Source SCA Core Framework (OSSIE) � Rapid Prototyping Tools for SCA Components and Waveforms � Component and Device Library � Software Defined Radio Education

OSSIE’s Goal: Support Education and Research � OSSIE and Wireless Education: Software not emphasized in wireless education � � Grad. researchers learn SCA and SDR design Used in Virginia Tech and Naval Postgraduate School SDR classes � � NPS and VT developing free OSSIE lab modules � OSSIE Enables SDR Research Baseline for studying architectures � � Power management Component deployment � � Testing � OSSIE Enables other Wireless Research Cognitive Radio, e.g., VT’s CoRTekS � � Collaborative radio Distributed processing over wireless links � � Propagation studies and MIMO

OSSIE Status � OSSIE Open Source Core Framework Release 0.7.1 available for download � VMWare images available � � OSSIE Waveform Developer (OWD) Open Source Rapid Prototyping Tool � Available for download � � Waveform Debugging Tool (ALF) Developed by SAIC � Available for download � � OSSIE Labs Developed by NPS and Virginia Tech �

Example Project: Porting OSSIE to Morpheus Radio Morpheus is an IR&D project at Harris, Inc (Melbourne, FL) This highly agile and compact platform is suited for many adaptive applications

Example Project: Morpheus Features Virginia Tech is Porting OSSIE to the Morpheus Radio (2) DDS (4) Xilinx TI XC4VLX60’s DaVinci (ARM+DSP) DAC ADC Flash & ROM Stratix

Distributed Computing for Collaborative Software Radio � Faculty: Jeff Reed and Tim Newman � Funding: ONR � Description: � Develop a distributed computing environment linked by wireless � Show harvest energy trade ‐ offs � Develop applications � Collaborate Detection/classification � Data Fusion � Distributed MIMO

Cognitive Engine – Software Architecture observe Adapt Learn and reason United States Patent 7,289,972 Cognitive Radio Engine Based on Genetic Algorithms in a Network

Our First Application: The VT Public Safety Cognitive Radio • Recognize any P25 Phase 1 • Interoperate with legacy networks waveforms • Provide a gateway between • Identify known networks incompatible networks • Serve as a repeater when necessary – useful when infrastructure has been destroyed or does not exist.

Demonstrated Capabilities • Scan Mode: Shows the user what waveforms / networks are present • Talk Mode: Allows the user to interoperate with any selected network • Gateway Mode: Allows the user to set up a link between any two incompatible networks

The Cognitive Gateway

Proposed Solution � A Cognitive Gateway (CG) to facilitate interoperability between incompatible radios (or systems) and provide an extended service coverage area • CG Definition: CG is a special CR node that interconnects different systems. • CG Functions: CG is responsible for automatic communication link establishments between incompatible systems upon communication initiators’ requests.

Cognitive Radio Network Testbed (VT ‐ CoRNET) Hardware Side Software Side � Faculty : Jeffrey Reed, Tamal Virtual Cognitive Radio Nodes Physical Cognitive Radio Nodes Bose ,Timothy Newman � Funding : VT ‐ ICTAS HW/SW CR CR � Description : Develop a large Interface #1 # 2 scale hybrid cognitive radio network testbed. 48 physical nodes located in campus building interfaces with up to 1 CR CR #3 #4 million virtual nodes simulated on a large cluster located on campus. This large scale simulation environment Server Cluster CR CR #5 #6 enables new and exciting research capabilities. Physical nodes will make use of custom designed flexible (100 MHz – 4 GHz) RF daughterboard.

Cognitive Radio Network Security � Faculty : Jeffrey Reed, Timothy Newman � Funding : DoD � Description : Intelligence Community Postdoctoral fellowship aimed at identifying the security issues that cognitive radios bring and develop mitigation techniques for these security issues. Read more: T. Clancy, N. Goergen, "Security in Cognitive Radio Networks: Threats and Mitigation," First task is to evaluate Third International Conference on Cognitive Radio DARPA xG cognitive radio Oriented Wireless Networks and Communications network security. Radios (CrownCom), May 2008. provided by Shared Spectrum Company.

Distributed Spectrum Sensing for Cognitive Radio Systems � Faculty : Claudio da Silva � Description : This project will establish detection limits of distributed spectrum sensing for cognitive radio systems. Specific research objectives are to: � design signal processing methods at the node level, � design data fusion techniques, � design algorithms for the transmission of spectrum sensing information, and � evaluate the reliability and complexity of the spectrum sensing stage.

Efficient Jammers using a Cognitive Radio Network � Faculty: Tamal Bose, Jeff Reed � Funding: CAER � Description: Develop an efficient jamming system using a Cognitive Jamming Network (CJN) based on cognitive radio technology. Use characteristics of the target signal to create a custom jamming waveform Jamming is accomplished by using a network of collaborating jammers. This allows each jammer to operate at a lower power, thereby reducing the risk of self ‐ jamming.

Modular Open ‐ Source Cognitive Radio Architecture � Flexible CR development architecture � 4 Categories of system components � Cognitive Radio Shell � Cognitive Engine � Policy Engine � Front End � Socket interfaces provide language independence. � Multiple CE capabilities for distributed CE workload. � Initial reference implementation with a CBR engine implemented in C. � Optional Policy engine provides additional functionality if desired.