Analysis of effect of primary user traffic on spectrum sensing performance

Wang, Tinghuai; Chen, Yunfei; Hines, Evor L.; Zhao, Bo

doi:10.1109/chinacom.2009.5339899

Cited by 52 publications

(51 citation statements)

References 17 publications

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“…However, in practice, the primary user may arrive or leave during the sensing period. The effect of the primary user traffic on the sensing performance has been analyzed in [5] for the case when only one primary user occupies the licensed spectrum at a time. In [6], the energy detection was improved to reduce the effect from the primary user traffic when only one primary user is present.…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis of Spectrum Sensing With Multiple Primary Users

Zhao

Chen

et al. 2012

IEEE Trans. Veh. Technol.

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Section: Introductionmentioning

confidence: 99%

Performance Analysis of Spectrum Sensing With Multiple Primary Users

Zhao

Chen

et al. 2012

IEEE Trans. Veh. Technol.

Self Cite

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“…In [3]- [5], the authors considered the PU traffic in spectrum sensing but only assumed that the PU arrives at the channel before sensing starts. In [6]- [8], a realistic scenario where the PU arrives or departs during the sensing period was discussed by assuming that the PU only changes its status once during the entire sensing period. Specifically, the effect of the PU traffic with one change on sensing performance was evaluated in [6].…”

Section: Introductionmentioning

confidence: 99%

“…In [6]- [8], a realistic scenario where the PU arrives or departs during the sensing period was discussed by assuming that the PU only changes its status once during the entire sensing period. Specifically, the effect of the PU traffic with one change on sensing performance was evaluated in [6]. Better detectors for sensing based on the PU traffic were derived in [7] and [8].…”

Section: Introductionmentioning

confidence: 99%

“…In this letter, the result in [6] is generalized by considering a more practical case, where the PU changes its status an arbitrary number of times during the sensing period. This includes the scenario studied in [6]- [8] as a special case.…”

Section: Introductionmentioning

confidence: 99%

“…This includes the scenario studied in [6]- [8] as a special case. It is also the case when the PU has high traffic or when a long sensing period is used.…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2012

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Abstract-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 of the received signal. Numerical results also show that the amount of degradation decreases when the number of changes increases, and converges to a minimum sensing performance due to the limited sensing period and primary holding time.Index Terms-Cognitive radio, primary user traffic, spectrum sensing.

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An optimal cooperative spectrum sensing strategy with exponential primary link traffic

Wang

Yue

Yuan

2012

Wireless Communications

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In this paper, we investigate the optimal sensing settings for a cognitive radio (CR) network consisting a number of CR users and a fusion center (FC). Our objective is to maximize the channel utilization under the constraint that the signals from the primary user (PU) are sufficiently protected. We focus on the utilization of the channel in which PUs dynamically enter the network with burst nature. Thus, we apply the average error probability (AEP) as the metric of channel utilization. Moreover, in order to protect the PU signal from being interfered, the missing detection probability is applied as the constraint function. Assuming that counting rules are utilized in the FC, we derive the false alarm probability, the missing detection probability, and the AEP in the maximum a posteriori (MAP) fashion. Then, after proving the monotonic properties of the objective function and the constraint function, we propose an efficient algorithm named Algorithm I that can derive the optimal settings for maximizing the channel utilization. Moreover, a simplified algorithm named Algorithm II is also proposed to minimize the AEP, supposing that perfect synchronization exists between the CR users and the PU. Finally, we show our numerical results and compare our optimal results with those found by exhaustive searches. We conclude that our Algorithm I produces optimal results very close to those found by exhaustive searches. Performance comparison between Algorithms I and II is also provided in terms of the AEP and the probability of missing detection.

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Analysis of effect of primary user traffic on spectrum sensing performance

Cited by 52 publications

References 17 publications

Performance Analysis of Spectrum Sensing With Multiple Primary Users

Performance Analysis of Spectrum Sensing With Multiple Primary Users

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

An optimal cooperative spectrum sensing strategy with exponential primary link traffic

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