Distributed spectrum monitoring and surveillance using a cognitive radio based testbed

This paper described the development and implementation of a distributed spectrum monitoring and surveillance testbed for identifying and locating RF signals using the Universal Software Radio Peripheral (USRP). We use a centralized RF trace collection testbed to establish the baseline, and we focus on distributed RF trace collection. Challenges associated with synchronization is identified and candidate solutions are discussed. The distributed testbed was implemented using NI USRPs (293×/295×) with LabVIEW. The complex nature of implementing the distributed case necessitate the choice of LabVIEW because of the versatile features provided. Potential applications are discussed and sample traces are demonstrated.

[1]  Hüseyin Arslan,et al.  Dynamics of spatial correlation and implications on MIMO systems , 2004, IEEE Communications Magazine.

[2]  Saurabh Ganeriwal,et al.  Timing-sync protocol for sensor networks , 2003, SenSys '03.

[3]  J. Nicholas Laneman,et al.  Design and Implementation of a Portable Software Radio , 2008, IEEE Communications Magazine.

[4]  Huyen Chi Bui,et al.  Cost effective emulation of geostationary satellite channels by means of software-defined radio , 2014, 2014 IEEE Metrology for Aerospace (MetroAeroSpace).

[5]  Mihail L. Sichitiu,et al.  Simple, accurate time synchronization for wireless sensor networks , 2003, 2003 IEEE Wireless Communications and Networking, 2003. WCNC 2003..

[6]  Kang Lee,et al.  IEEE 1588 standard for a precision clock synchronization protocol for networked measurement and control systems , 2002, 2nd ISA/IEEE Sensors for Industry Conference,.

[7]  Yang Wang,et al.  An Effective Integrated Method for Learning Big Imbalanced Data , 2014, 2014 IEEE International Congress on Big Data.

[8]  Lijun Qian,et al.  Mitigating Uplink interference in femtocell networks with Physical Layer Network coding , 2013, 2013 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS).

[9]  Alice J Crohas.  Practical Implementation of a Cognitive Radio System for Dynamic Spectrum Access , 2008 .

[10]  J. Elson,et al.  Fine-grained network time synchronization using reference broadcasts , 2002, OSDI '02.

[11]  Lijun Qian,et al.  Performance Analysis on the Coexistence of Multiple Cognitive Radio Networks , 2015, EAI Endorsed Trans. Cogn. Commun..

[12]  J. Nicholas Laneman,et al.  An experimental framework for the evaluation of cooperative diversity , 2009, 2009 43rd Annual Conference on Information Sciences and Systems.

[13]  Octavian Postolache,et al.  RF spectrum monitoring and management system based on an RF receiver multi-server architecture , 2011, Proceedings of the 6th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems.

[14]  Zhu Han,et al.  Power control for device-to-device communications as an underlay to cellular system , 2014, 2014 IEEE International Conference on Communications (ICC).

[15]  Xiaojiang Du,et al.  Performance bound of ad hoc Device-to-Device communications using cognitive radio , 2013, 2013 IEEE Globecom Workshops (GC Wkshps).

[16]  J. Mitola,et al.  Software radios: Survey, critical evaluation and future directions , 1992, IEEE Aerospace and Electronic Systems Magazine.

[17]  Lijun Qian,et al.  Experimental study of hierarchical Software Defined Radio controlled Wireless Sensor Network , 2015, 2015 36th IEEE Sarnoff Symposium.

[18]  Lijun Qian,et al.  Performance bounds of prioritized access in coexisting cognitive radio networks , 2014, 2014 9th International Conference on Cognitive Radio Oriented Wireless Networks and Communications (CROWNCOM).

[19]  Taghi M. Khoshgoftaar,et al.  Simplifying the Utilization of Machine Learning Techniques for Bioinformatics , 2013, 2013 12th International Conference on Machine Learning and Applications.

[20]  Gyula Simon,et al.  The flooding time synchronization protocol , 2004, SenSys '04.

[21]  Jan M. Rabaey,et al.  Lightweight time synchronization for sensor networks , 2003, WSNA '03.

[22]  Alexander M. Wyglinski,et al.  Widely tunable RF transceiver front end for software-defined radio , 2009, MILCOM 2009 - 2009 IEEE Military Communications Conference.

[23]  Lijun Qian,et al.  Femtocell as a relay with application of physical layer network coding , 2014, 2014 IEEE 11th Consumer Communications and Networking Conference (CCNC).

[24]  J. J. Popoola,et al.  A Novel Modulation-Sensing Method , 2011, IEEE Vehicular Technology Magazine.

[25]  Mark A. Beach,et al.  Spatial correlation in indoor MIMO channels , 2002, The 13th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications.