Review of Energy Detection for Spectrum Sensing in Various Channels and its Performance for Cognitive Radio Applications

@article{Babu2012ReviewOE,
  title={Review of Energy Detection for Spectrum Sensing in Various Channels and its Performance for Cognitive Radio Applications},
  author={R. Suresh Babu and M. Suganthi},
  journal={American Journal of Engineering and Applied Sciences},
  year={2012},
  volume={5},
  pages={151-156}
}
  • R. Babu, M. Suganthi
  • Published 4 August 2012
  • Computer Science
  • American Journal of Engineering and Applied Sciences
Spectrum sensing is the basic and important operation in Cognitive Radio (CR) to find the unused spectrum. Energy detector is a popular sensing method because it doesn’t require transmitted signal properties, channel information, of even the type of modulation. This study summarizes the performance result of energy detector over Additive White Gaussian Noise (AWGN), Rayleigh fading and Nakagami fading channels. Energy detection with soft decision and hard decision are also studied for different… 

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References

SHOWING 1-9 OF 9 REFERENCES
Performance Analysis of Primary User Detection in a Multiple Antenna Cognitive Radio
TLDR
This work considers the problem of detecting a primary user signal over a wireless channel by a cognitive radio with multiple antennas and presents a multiple antenna processing based energy detector for primary user detection at the cognitive radio receiver.
Cooperation and Cognitive Radio
TLDR
This paper investigates a simple wireless network, where one secondary transmitter has the option to relay traffic of the primary and discusses the advantage and limits of cognitive relaying.
Cooperative Communications for Cognitive Radio Networks
TLDR
The use of cooperative spectrum sensing in cognitive radio systems to enhance the reliability of detecting primary users and a cognitive space-time-frequency coding technique that can opportunistically adjust its coding structure by adapting itself to the dynamic spectrum environment are considered.
Opportunistic Spectrum Access in Fading Channels Through Collaborative Sensing
TLDR
This paper demonstrates that under independent fading or shadowing, a low-overhead collaboration scheme with a very simple detector as its building block improves the spectrum utilization significantly and reduces the time and bandwidth resources required for satisfactory sensing which translates into higher agility and efficiency of the secondary access.
On the Energy Detection of Unknown Signals Over Fading Channels
This letter addresses the problem of energy detection of an unknown signal over a multipath channel. It starts with the no-diversity case, and presents some alternative closed-form expressions for
Cognitive radio: brain-empowered wireless communications
  • S. Haykin
  • Computer Science
    IEEE Journal on Selected Areas in Communications
  • 2005
TLDR
Following the discussion of interference temperature as a new metric for the quantification and management of interference, the paper addresses three fundamental cognitive tasks: radio-scene analysis, channel-state estimation and predictive modeling, and the emergent behavior of cognitive radio.
Cognitive radio: making software radios more personal
TLDR
With RKRL, cognitive radio agents may actively manipulate the protocol stack to adapt known etiquettes to better satisfy the user's needs and transforms radio nodes from blind executors of predefined protocols to radio-domain-aware intelligent agents that search out ways to deliver the services the user wants even if that user does not know how to obtain them.
Energy Detection of Unknown Deterministic Signals
TLDR
By oinp Shannon's sampling form&, the problem of the sampling form is solved.
Cognitive radio : Brainempowered wireless communications
  • IEEE J . Selected Areas Commun .
  • 2005