Iterative cooperative sensing on shared primary spectrum for improving sensing ability

@article{Ohta2011IterativeCS,
  title={Iterative cooperative sensing on shared primary spectrum for improving sensing ability},
  author={Mai Ohta and Takeo Fujii},
  journal={2011 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)},
  year={2011},
  pages={623-627}
}
  • M. Ohta, T. Fujii
  • Published 3 May 2011
  • Computer Science
  • 2011 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)
In this paper, we propose a novel cooperative sensing method by iteratively improving the sensing ability. The proposed method can increase the number of cooperative sensing nodes. Moreover the harmful interference can be avoided, even if the sensing information of each sensing node is transmitted at the same spectrum of the primary system. In general, the cooperative sensing ability depends on the number of the cooperative nodes providing sensing information. If these pieces of information are… 

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References

SHOWING 1-9 OF 9 REFERENCES
Study on Cooperative Sensing in Cognitive Radio based AD-HOC Network
TLDR
A soft decision based cooperative sensing method for cognitive radio (CR) in ad-hoc networks where test statistic used in traditional single user energy detection is treated as soft decision information and has better performance compared to non-cooperative sensing.
Optimal Linear Cooperation for Spectrum Sensing in Cognitive Radio Networks
TLDR
This paper proposes an optimal linear cooperation framework for spectrum sensing in order to accurately detect the weak primary signal and proposes a heuristic approach, where a modified deflection coefficient that characterizes the probability distribution function of the global test statistics at the fusion center is proposed.
Soft Combination and Detection for Cooperative Spectrum Sensing in Cognitive Radio Networks
TLDR
It is shown in this paper that an SNR wall reduction can be achieved by employing cooperation among independent cognitive radio users and a new softened hard combination scheme with two-bit overhead for each user is proposed to achieve a good tradeoff between detection performance and complexity.
Optimization for Cooperative Sensing in Cognitive Radio Networks
TLDR
It is shown that cooperating all secondary users in the network does not necessary achieve the optimum performance, but instead, it is achieved by cooperating a certain number of users with the highest primary user's signal to noise ratio.
Cooperative Sensing among Cognitive Radios
TLDR
This work proposes light-weight cooperation in sensing based on hard decisions to mitigate the sensitivity requirements on individual radios and shows that the "link budget" that system designers have to reserve for fading is a significant function of the required probability of detection.
Implementation issues in spectrum sensing for cognitive radios
TLDR
To improve radio sensitivity of the sensing function through processing gain, three digital signal processing techniques are investigated: matched filtering, energy detection and cyclostationary feature detection.
Air interface recognition for a software radio system exploiting cyclostationarity
  • MengΓΌΓ§ Γ–ner, F. Jondral
  • Computer Science
    2004 IEEE 15th International Symposium on Personal, Indoor and Mobile Radio Communications (IEEE Cat. No.04TH8754)
  • 2004
TLDR
This paper proposes exploiting the distinct cyclostationary properties of different air interface signals as features for air interface recognition, providing a seamless interoperability between different standards and an enhanced roaming capability.
Energy Detection of Unknown Deterministic Signals
TLDR
By oinp Shannon's sampling form&, the problem of the sampling form is solved.
Covariance Based Signal Detections for Cognitive Radio
TLDR
This paper proposes two detection methods based on the transformed sample covariance matrix of the received signal that are suitable for covariance absolute value (CAV) detection and the covariance Frobenius norm (CFN) detection.