A Cognitive Radio Receiver Supporting Wide-Band Sensing
- 1 Institut für Nachrichtentechnik, Universit?t Karlsruhe (TH), Karlsruhe, Germany
- 2
- 3
Abstract
The specification of IEEE 802.22 defines the world-wide first cognitive radio (CR) standard. Within a range of 40 MHz to 910 MHz CR systems are allowed to allocate spectrum besides the currently established radio services like radio and TV broadcasting. In order to fulfill the regulative guidelines of interference limita-tions, a capable spectral sensing and user detection has to be provided. Due to the wide frequency range specified in IEEE 802.22 and the high dynamic range of signals allocated in this band there are high de-mands on the CR receiver’s front-end. Especially the performance requirements on analog-to-digital con-verters increase significantly compared to current wireless systems. Based on measurements taken in this frequency range requirements to CR’s ADCs are figured out. Furthermore, the measurement results are ana-lyzed regarding expectable allocation scenarios and their impacts to spectral sensing. Derived from this re-sults and a comparison of general spectral sensing mechanisms an approach for a CR receiver supporting wide-band sensing is presented. Considering the apriori information resulting from scenario analysis and including adapted information processing in the terminal the ADC’s performance requirements can be re-duced.
- FCC, “Spectrum policy task force report, ET Docket No. 02-155,” Technical Report Series, November 2002.
- Shared Spectrum Company, “Comprehensive spectrum occu-pancy measurements over six different locations,” August 2005, http://www.sharedspectrum.com/.
- J. Mitola, “Cognitive radio-an integrated agent architecture for software defined radio,” Ph.D. dissertation, Royal Institute of Technology (KTH), Kista, Sweden, 2000.
- S. Haykin, “Cognitive radio: Brain-empowered wireless com-munications,” Selected Areas in Communications, IEEE Jour-nal on, Vol. 23, No. 2, pp. 201–220, February 2005.
- P. Cordier et al., “E2R cognitive pilot channel concept,” IST Mobile Summit, Mykonos, Greece, June 2006.
- IEEE, “P802.22: Cognitive radio, wide regional area network,” Technical Specifications, May 2005.
- R. H. Walden, “Analog-to-digital converter technology com-parison,” IEEE GaAs IC Symposium Technical Digest, pp. 217–219, October 1994.
- R. H. Walden, “Analog-to-digital converter survey and analy-sis,” Selected Areas in Communications, IEEE Journal on, Vol. 17, No. 4, pp. 539–550, April 1999.
- B. Le, T. W. Rondeau, J. H. Reed, and C. W. Bostian, “Ana-log-to-digital converters,” Signal Processing Magazine, IEEE, Vol. 22, No. 6, pp. 69–77, November 2005.
- R. Plassche, CMOS Integrated Analog-to-digital and Digi-tal-to-analog Converters, 2nd Edition, Kluwer Academic Pub-lishers, Boston/ Dordrecht/London, 2003.
- B. Brannon, Software Defined Radio-Enabling Technology, John Wiley and Sons, London, W. Tuttlebee, Ed., ch. Data Conversion in Software Defined Radios, pp. 99–126. 2002.
- P. Leaves et al., “A summary of dynamic spectrum allocation results from drive,” in IST Mobile and Wireless Telecommu-nications Summit, pp. 245–250, June 2002.
- T. A. Weiss and F. Jondral, “Spectrum pooling: An innovative strategy for the enhancement of spectrum efficiency,” Commu-nications Magazine, IEEE, Vol. 42, No. 3, pp. 8–14, March 2004.
- D. Cabric et al., “Implementation issues in spectrum sensing for cognitive radios,” in Signals, Systems and Computers, 2004, Conference Record of the Thirty- Eighth Asilomar Conference on, Vol. 1, pp. 772–776, November 2004.
- C. Rauscher, Grundlagen der Spektrumanalyse, Rohde & Schwarz, 2004.