Analysis of Equal Gain Combining in Energy Detection for Cognitive Radio over Nakagami Channels

Herath, Sanjeewa P.; Rajatheva, Nandana

doi:10.1109/glocom.2008.ecp.570

Cited by 82 publications

(48 citation statements)

References 6 publications

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“…The evaluation of derivatives and limits in (13) and (14) yields simpler expressions over Nakagami-m and Rayleigh fading channels. These results are numerically equivalent to the respective results in [3]- [5] and [8].…”

Section: Case Ii: U ≤ Msupporting

confidence: 52%

“…Further, none of these works provide simulation results to support their theoretical formulations. In our work presented in [8], an alternative infinite series form expression for P d over Nakagami-m fading channel is obtained. Further, performance of the equal gain diversity combined energy detector is analyzed over i.i.d.…”

Section: Introductionmentioning

confidence: 99%

“…SYSTEM MODEL To be consistent, notations similar to [8] are used as listed below. The detection of the existence of the unknown deterministic signal s(t), is a binary hypothesis test as shown in (1),…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Unified Approach for Energy Detection of Unknown Deterministic Signal in Cognitive Radio Over Fading Channels

Herath

Rajatheva

Tellambura

2009

2009 IEEE International Conference on Communications Workshops

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Abstract-Detection of an unknown deterministic signal by using an energy detector is of promising for cognitive radio networks. In this paper, a new approach is proposed to analyze the performance of the energy detector. It is based on the contour integral representation of the Marcum-Q function and the use of the moment generating function (MGF) of the signal-to-noise ratio (SNR). A new decision variable is constructed for the case of maximal ratio combining (MRC) reception. With its help and the MGF based approach, the performance of the MRC energy detector over i.i.d. Rician fading channels is analyzed. This case is intractable with the conventional probability density function (PDF) based approach. Further the detection probability of MRC combined energy detector over Nakagami-m fading branches is derived. The simulation results are presented to support the developed MGF based method, decision variable formulation and derivations. The detector performance is evaluated over different fading and diversity parameters with the help of numerical and simulation examples.

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Section: Case Ii: U ≤ Msupporting

confidence: 52%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Unified Approach for Energy Detection of Unknown Deterministic Signal in Cognitive Radio Over Fading Channels

Herath

Rajatheva

Tellambura

2009

2009 IEEE International Conference on Communications Workshops

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“…In [4], the analysis focuses on the no-diversity case under Rayleigh, Rice and Nakagami fading channels, and in [5] the focus is on different diversity receptions such as maximal ratio combining (MRC), selection combining (SC), switch-and-stay combining (SSC), squarelaw combining (SLC) and square-law selection (SLS) under Rayleigh fading channels. The energy detector with equal gain combining (EGC) reception under Nakagami-fading channels is analyzed in [6]. The energy detector performance is investigated in [7] for relay-based cognitive radio networks and in [8] for channels with both multipath fading and shadowing.…”

Section: Analysis Of Area Under the Roc Curve Of Energy Detectionmentioning

confidence: 99%

Analysis of area under the ROC curve of energy detection

Atapattu

Tellambura

Jiang

2010

IEEE Trans. Wireless Commun.

145

105

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Abstract-A simple figure of merit to describe the performance of an energy detector is desirable. The area under the receiver operating characteristic (ROC) curve, denoted (AUC), is such a measure, which varies between , and it increases to one as the detector performance improves. However, in the wireless literature, the AUC measure has gone unnoticed. In this paper, to address this gap, we comprehensively analyze the AUC of an energy detector with nodiversity reception and with several popular diversity schemes. The channel model is assumed to be Nakagami-fading. First, the average AUC is derived for the case of no-diversity reception. Second, the average AUC is derived for diversity reception cases including maximal ratio combining (MRC), square-law combining (SLC) and selection combining (SC). Further, for Rayleigh fading channels, the impacts of channel estimation errors and fading correlations are analyzed. High SNR (signalto-noise ratio) approximations and the detection diversity gain are also derived. The analytical results are verified by numerical computations and by Monte-Carlo simulations.Index Terms-Area under the curve, energy detection, receiver operating characteristic (ROC).

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“…이딩 환경에서의 성능 분석이 이루어졌으며 [2,3] 센싱 시간, 송신 전력, 협력 노드의 수 등의 파라미터를 통 해 센싱 성능을 향상시키는 연구가 진행되었다 [4]- [7] . 과 검출 확률(   )은 다음과 같다 [10] .…”

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Or-Rule Based Cooperative Spectrum Sensing Scheme Considering Reporting Error in Cognitive Radio Networks

Choe¹,

Byun²

2014

The Journal of Korea Information and Communications Society

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As frequency resource has taken on greater importance, Cognitive Radio(CR) technology has been considered as the solution to improve spectrum utilization by allowing a secondary user to utilize a licensed band when the primary user is absent. So spectrum sensing is significant part of CR for high performance. Recently, cooperative spectrum sensing that secondary users share each sensing results is proposed to improve spectrum sensing accuracy. In this paper, OR rule based cooperative spectrum sensing scheme using reporting error probability which occurs in user to fusion center(FC) channel The simulation results show that proposed scheme mitigates false alarm probability limitation which appears in existing cooperative spectrum sensing scheme by restricting the number of cooperating users using reporting error probability.

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Analysis of Equal Gain Combining in Energy Detection for Cognitive Radio over Nakagami Channels

Cited by 82 publications

References 6 publications

Unified Approach for Energy Detection of Unknown Deterministic Signal in Cognitive Radio Over Fading Channels

Unified Approach for Energy Detection of Unknown Deterministic Signal in Cognitive Radio Over Fading Channels

Analysis of area under the ROC curve of energy detection

Or-Rule Based Cooperative Spectrum Sensing Scheme Considering Reporting Error in Cognitive Radio Networks

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