Performance Analysis of Spectrum Sensing with Multiple Status Changes in Primary User Traffic

@article{Tang2012PerformanceAO,
  title={Performance Analysis of Spectrum Sensing with Multiple Status Changes in Primary User Traffic},
  author={Liang Tang and Yunfei Chen and Evor L. Hines and Mohamed-Slim Alouini},
  journal={IEEE Communications Letters},
  year={2012},
  volume={16},
  pages={874-877}
}
In this letter, the impact of primary user traffic with multiple status changes on the spectrum sensing performance is analyzed. Closed-form expressions for the probabilities of false alarm and detection are derived. Numerical results show that the multiple status changes of the primary user cause considerable degradation in the sensing performance. This degradation depends on the number of changes, the primary user traffic model, the primary user traffic intensity and the signal-to-noise ratio… 

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References

SHOWING 1-10 OF 20 REFERENCES

Analysis of effect of primary user traffic on spectrum sensing performance

Numerical results show that the performance of spectrum sensing can be significantly degraded if the primary user channel state changes frequently, and that collaborative spectrum sensing is effective in alleviating the deleterious effect caused by thePrimary user traffic.

Probability-based periodic spectrum sensing during secondary communication

A probability model regarding the appearance of the primary user at any sample of a CR user frame is established by utilizing the statistical characteristics of the licensed channel occupancy and it is shown that such a probability-based spectrum sensing scheme has nearly optimal performance.

Sensing-throughput tradeoff for cognitive radio networks: A multiple-channel scenario

This paper investigates the design of the optimal spectrum sensing time and power allocation schemes so as to maximize the aggregate ergodic throughput of the cognitive radio network to guarantee the quality of service (QoS) of the primary users (PUs) without exceeding the power limit of the secondary transmitter.

Traffic Pattern Prediction and Performance Investigation for Cognitive Radio Systems

  • Xiukui LiS. Zekavat
  • Computer Science, Business
    2008 IEEE Wireless Communications and Networking Conference
  • 2008
An algorithm for the prediction of call arrival rate is proposed which exploits the periodicity of the traffic process and an approach for call holding time estimation is presented.

An adaptive sensing period algorithm in cognitive radio networks

  • Hongyan LiHongliang Fu
  • Computer Science, Business
    2009 IEEE International Conference on Communications Technology and Applications
  • 2009
An adaptive sensing period algorithm is proposed to realize the automatic adjusting of sensing periods based on the channel-usage model of licensed users and it is demonstrated that the proposed algorithm always has steady performance, regardless of the number of channels sensed.

Performance of collaborative spectrum sensing for cognitive radio in the presence of gaussian channel estimation errors

Numerical results show that the probability of missed opportunity decreases as the estimation error decreases, and also show that in the presence of noise, there exists a threshold phenomenon for the noise level.

Optimization of Spectrum Sensing for Opportunistic Spectrum Access in Cognitive Radio Networks

  • A. GhasemiE. Sousa
  • Business
    2007 4th IEEE Consumer Communications and Networking Conference
  • 2007
In the context of spectrum sensing, sensing time may be fine- tuned to enhance the secondary users' perceived quality-of- service (QoS) as long as the regulatory constraint for the protection of the primary users against harmful interference is satisfied.

Improved Energy Detectors for Cognitive Radios With Randomly Arriving or Departing Primary Users

New and improved energy detectors for cognitive radios are derived by considering the effect of the primary user traffic on spectrum sensing, which shows that the new energy detector outperforms the conventional energy detector in all the cases examined.

How Often and How Long Should a Cognitive Radio Sense the Spectrum?

  • N. MoayeriHui Guo
  • Computer Science
    2010 IEEE Symposium on New Frontiers in Dynamic Spectrum (DySPAN)
  • 2010
Numerical results are presented that show the behavior of the maximum profit of the secondary user, its throughput, and the resulting level of interference to the primary users as functions of various network parameters.

Deriving Call Holding Time Distribution in Cellular Network from Empirical Data

Summary The call holding time distribution in cellular systems is one of the main parameters that are used to study and analyze several system performance measures. Several statistical distributions