Experimental spectrum sensor testbed for constructing indoor Radio Environmental Maps

2011 IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN 2011

Volumn , Issue , 2011, Pages 603-607

  Meshkova, Elena ^a   Ansari, Junaid ^a   Denkovski, Daniel ^b   Riihijärvi, Janne ^a   Nasreddine, Jad ^a   Pavloski, Mihajlo ^b   Gavrilovska, Liljana ^b   Mähönen, Petri ^a  

^a RWTH AACHEN UNIVERSITY   (Germany)

^b SS CYRIL AND METHODIUS UNIVERSITY   (Macedonia)

Author keywords

[No Author keywords available]

Indexed keywords

APPLICATION EXAMPLES; DEPLOYED SYSTEMS; DYNAMIC CONSTRUCTION; EXPERIMENTAL DATA; EXPERIMENTAL SPECTRA; EXPERIMENTAL TESTBED; INDOOR ENVIRONMENT; INDOOR PROPAGATION; INDOOR RADIO; MEASUREMENT RESULTS; NON-LINEARITY; RADIO ENVIRONMENT; SENSING DEVICES; STATIC SOLUTIONS; TEMPORAL ASPECTS;

OFFICE BUILDINGS; SENSORS; SPECTROSCOPY; TESTBEDS;

TEST FACILITIES;

EID: 79960678021     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/DYSPAN.2011.5936253     Document Type: Conference Paper

References (23)

1. Y. Zhao, B. Le, and J. H. Reed, Cognitive Radio Technology. Elsevier, 2006, ch. Network Support: The Radio Environment Map, pp. 337-363.
2. I. F. Akyildiz, W.-Y. Lee, M. C. Vuran, and S. Mohanty, "Next generation/dynamic spectrum access/cognitive radio wireless networks: a survey," Computer Networks, vol. 50, no. 13, pp. 2127-2159, 2006.
3. R. J. Bultitude, "Measurement, characterization and modeling of indoor 800/900 mhz radio channels for digital communications," IEEE Communications Magazine, vol. 25, no. 6, pp. 5-12, jun 1987.
4. H. Hashemi and et. al, "Measurements and modeling of temporal variations of the indoor radio propagation channel," IEEE Transactions on Vehicular Technology, vol. 43, no. 3, pp. 733-737, aug 1994.
5. I. Kashiwagi, T. Taga, and T. Imai, "Time-varying path-shadowing model for indoor populated environments," IEEE Transactions on Vehicular Technology, vol. 59, no. 1, pp. 16-28, jan. 2010.
6. H. Hashemi, "The indoor radio propagation channel," Proceedings of the IEEE, vol. 81, no. 7, pp. 943-968, July 1993.
7. M. F. Hanif, P. J. Smith, and M. Shafi, "Performance of cognitive radio systems with imperfect radio environment map information," in Australian Communications Theory Workshop, Feb. 2009, pp. 61-66.
8. M. Wellens, J. Wu, and P. Mähönen, "Evaluation of spectrum occupancy in indoor and outdoor scenario in the context of cognitive radio," in Proc. of CROWNCOM, August 2007.
9. M. Wellens, J. Riihijärvi, and P. Mähönen, "Evaluation of Adaptive MAC-Layer Sensing in Realistic Spectrum Occupancy Scenarios," in IEEE DySpan, May 2010, pp. 1-12.
10. "The USRP Board," https://radioware.nd.edu/documentation/ hardware/the-usrp-board [Last visited: March 10, 2011].
11. A. Khattab and et. al, "WARP: a flexible platform for clean-slate wireless medium access protocol design," SIGMOBILE Mob. Comput. Commun. Rev., vol. 12, no. 1, pp. 56-58, 2008.
12. TelosB Node, Crossbow Inc., http://www.willow.co.uk/TelosB Datasheet.pdf, Last visited: 11.06.2010.
13. K. Chowdhury and T. Melodia, "Platforms and testbeds for experimental evaluation of cognitive ad hoc networks," Communications Magazine, IEEE, vol. 48, no. 9, pp. 96-104, 2010.
14. D. Mills, "Internet time synchronization: The network time protocol," IEEE Trans. on Communications, vol. 39, no. 10, pp. 1482-1493, 2002.
15. D. Denkovski, V. Atanasovski, and L. Gavrilovska, "Efficient mid-end spectrum sensing implementation for cognitive radio applications based on usrp2 devices," in in Proc. of COCORA, April 2011.
16. J. Ansari, T. Ang, and P. Mähönen, "WiSpot - detecting Wi-Fi networks using IEEE 802.15.4 radios," in EWSN, Feb. 2011.
17. "Chipcon CC2420 datasheet," Last visited: 15.06.2010, http://www.chipcon.com/files/CC2420-Data-Sheet-1-3.pdf.
18. H. Celebi, I. Guvenc, S. Gezici, and H. Arslan, "Cognitive-Radio Systems for Spectrum, Location, and Environmental Awareness," Antennas and Propagation Magazine, IEEE, vol. 52, no. 4, pp. 41-61, 2010.
19. S. Geirhofer, L. Tong, and B. Sadler, "Dynamic spectrum access in the time domain: Modeling and exploiting white space," IEEE Communications Magazine, vol. 45, no. 5, p. 66, 2007.
20. Y. Guédon, "Estimating hidden semi-Markov chains from discrete sequences," Journal of Computational and Graphical Statistics, vol. 12, no. 3, pp. 604-639, 2003.
21. J. O'Connell and S. Højsgaard, mhsmm: Parameter Estimation and Prediction for Hidden Markov and Semi-Markov models for Data with Multiple Observation Sequences, R package v. 0.3.6, 2010, http://CRAN.R-project.org/ package=mhsmm.
22. H. Kim and K. Shin, "Efficient discovery of spectrum opportunities with MAC-layer sensing in cognitive radio networks," IEEE Transactions on Mobile Computing, pp. 533-545, 2007.
23. A. Viterbi, "Error bounds for convolutional codes and an asymptotically optimum decoding algorithm," IEEE Transactions on Information Theory, vol. 13, no. 2, pp. 260-269, 2002.