• Published 2009

Spectrum Sensing : Fundamental Limits

@inproceedings{Sahai2009SpectrumS,
  title={Spectrum Sensing : Fundamental Limits},
  author={Anant Sahai and Shridhar Mubaraq Mishra and Rahul Tandra},
  year={2009}
}
Cognitive radio systems need to be able to robustly sense spectrum holes if they want to use spectrum opportunistically. However, this problem is more subtle than it first appears. It turns out that real-world uncertainties make it impossible to guarantee both robustness and high-sensitivity to a spectrum sensor. A traditional time-domain perspective on this is relatively straightforward, but to really understand what is happening requires us to think more deeply about the role of fading. In… CONTINUE READING

Citations

Publications citing this paper.
SHOWING 1-10 OF 268 CITATIONS

A Novel Spectrum Sensing Algorithm for Cognitive Radio Based on Unknown Parameters

Sonia Kornipati, Korra Ravi Kumar
  • 2017
VIEW 5 EXCERPTS
CITES BACKGROUND & METHODS
HIGHLY INFLUENCED

Novel Spectrum-Sensing Algorithms for Cognitive Radio Based on with and without Signal Information

K. Nayomi, M. Sailaja
  • 2017
VIEW 5 EXCERPTS
CITES BACKGROUND & METHODS
HIGHLY INFLUENCED

Covariance Based Signal Detections for Cognitive Radio

  • 2007 2nd IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks
  • 2007
VIEW 10 EXCERPTS
CITES BACKGROUND & METHODS
HIGHLY INFLUENCED

Energy wideband spectrum sensing based on SubNyquist sampling and second order statistics

  • 2016 IEEE Ecuador Technical Chapters Meeting (ETCM)
  • 2016
VIEW 2 EXCERPTS
CITES BACKGROUND
HIGHLY INFLUENCED

Evaluation of relative performance of different detection methods for spectrum sensing in cognitive radio networks under impulsive noise

  • 2014 IEEE Global Conference on Wireless Computing & Networking (GCWCN)
  • 2014
VIEW 4 EXCERPTS
CITES METHODS
HIGHLY INFLUENCED

Performance evaluation of spectrum sensing in Cognitive Radio for conventional discrete-time memoryless MIMO fading channel model

  • 10th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing
  • 2014
VIEW 4 EXCERPTS
CITES METHODS
HIGHLY INFLUENCED

Robust energy detection for cognitive radio

  • 2014 IEEE 25th Annual International Symposium on Personal, Indoor, and Mobile Radio Communication (PIMRC)
  • 2014
VIEW 7 EXCERPTS
CITES BACKGROUND
HIGHLY INFLUENCED

FILTER CITATIONS BY YEAR

2007
2019

CITATION STATISTICS

  • 15 Highly Influenced Citations

  • Averaged 11 Citations per year from 2017 through 2019

References

Publications referenced by this paper.