BWRC Publications

Citation
Arash Parsa, A. Gohari Amin, Anant Sahai. "Exploiting Interference Diversity for Event-Based Spectrum Sensing". IEEE Symposium on Dynamic Spectrum Access Networks (DySPAN), October, 2008.

Abstract
Spectrum sensing is a core problem in cognitive radio. Detecting the presence/absence of very weak primary users with a single antenna can be very difficult. Environmental uncertainties result in SNR walls that detectors cannot overcome. Multiple-antenna approaches show some potential gains, but we show here that singleuser multiple-antenna detection still must suffer from an SNR wall. The reason is that the real-world uncertainty in noise is dominated by the potential presence of an unknown number of low-power and time-varying interference sources in the external environment. Traditional collaborative spectrum sensing attempts to use the shadowing/multipath diversity across different users to boost the reliability of detection. We show that there is another kind of diversity that is also available: interference diversity. This captures the fact that lowpowered interference sources are local to individual users whereas the primary user has a global footprint. To exploit this diversity, we must shift our perspective from existencebased detection (whether the primary is present or not) to event-based detection (whether the primary has turned off or on).

Electronic downloads

• DySPAN2008.pdf · application/pdf · 273 kbytes. (The authors would like to thank TRUST (The Team for Research in Ubiquitous Secure Technology), which receives support from the National Science Foundation (NSF award number CCF-0424422) and the following organizations: Cisco, ESCHER, HP, IBM, Intel, Microsoft, ORNL, Pirelli, Qualcomm, Sun, Symantec, Telecom Italia and United Technologies, for their support of this work. The research was also partially supported by Sumitomo Electric and NSF grants CNS-0403427, CCF- 0729122, CCF-0500023, ANI-0326503, CCF-0635372, and CNS-0627161. The authors also thank Prof. David Tse and the students in the graduate Wireless Communications course at Berkeley, along with the other students in Wireless Foundations and the Berkeley Wireless Research Center for giving feedback on this research, particularly Rahul Tandra, Mubaraq Mishra and Kristen Ann Woyach. REFERENCES)

Citation formats

• HTML

  Arash Parsa, A. Gohari Amin, Anant Sahai. <a
  href="http://infopad.eecs.berkeley.edu/php/pubs/pubs.php/73.html">Exploiting
  Interference Diversity for Event-Based Spectrum
  Sensing</a>, IEEE Symposium on Dynamic Spectrum Access
  Networks (DySPAN), October, 2008.

• Plain text

  Arash Parsa, A. Gohari Amin, Anant Sahai. "Exploiting
  Interference Diversity for Event-Based Spectrum Sensing".
  IEEE Symposium on Dynamic Spectrum Access Networks (DySPAN),
  October, 2008.

• BibTeX

  @inproceedings{ParsaAminSahai2008,
      author = {Arash Parsa and A. Gohari Amin and Anant Sahai},
      title = {Exploiting Interference Diversity for Event-Based
                Spectrum Sensing},
      booktitle = {IEEE Symposium on Dynamic Spectrum Access Networks
                (DySPAN)},
      month = {October},
      year = {2008},
      URL = {http:///php/pubs/pubs.php/73.html}
  }
  

Posted by Arash Parsa on Sep 12, 2008..

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