Subspace-Based Method for Spectrum Sensing With Multiple Users Over Fading Channel

Mu, Junsheng; Jing, Xiaojun; Huang, Hai; Gao, Ning

doi:10.1109/lcomm.2017.2741938

Cited by 23 publications

(20 citation statements)

References 10 publications

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“…An efficient transmission mode selection based on reinforcement learning for cooperative CRNs is studied in [10]. It is shown that the spectrum sensing accuracy is compromised because of fading, shadowing, uncertainty and the hidden terminal problem [15][16][17]. In order to mitigate the fading problem, the relay based spectrum sensing in the CRN is studied in [18].…”

Section: Related Workmentioning

confidence: 99%

“…On the other hand, the ED is considered as an attractive method due to the fact that it does not require any prior knowledge of the incumbent signal, its easy implementation and low complexity. However, the spectrum sensing accuracy is compromised because of fading, shadowing, uncertainty and the hidden terminal problem [15][16][17]. In (2), it reduces sensing delay and improves sensing accuracy as it mitigates against the effects of fading, shadowing, uncertainty and the hidden terminal problem.…”

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confidence: 99%

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An enhanced sum rate in the cluster based cognitive radio relay network using the sequential approach for the future Internet of Things

Miah

Schukat

Barrett

2018

Hum. Cent. Comput. Inf. Sci.

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The cognitive radio relay plays a vital role in cognitive radio networking (CRN), as it can improve the cognitive sum rate, extend the coverage, and improve the spectral efficiency. However, cognitive relay aided CRNs cannot obtain a maximal sum rate, when the existing sensing approach is applied to a CRN. In this paper, we present an enhanced sum rate in the cluster based cognitive radio relay network utilizing a reporting framework in the sequential approach. In this approach a secondary user (SU) extends its sensing time until right before the beginning of its reporting time slot by utilizing the reporting framework. Secondly all the individual measurement results from each relay aided SU are passed on to the corresponding cluster head (CH) through a noisy reporting channel, while the CH with a soft-fusion report is forwarded to the fusion center that provides the final decision using the n-out-of-k-rule. With such extended sensing intervals and amplified reporting, a better sensing performance can be obtained than with a conventional non-sequential approach, therefore making it applicable for the future Internet of Things. In addition, the sum rate of the primary network and CCRRN are also investigated for the utilization reporting framework in the sequential approach with a relay using the n-out-of-k rule. By simulation, we show that the proposed sequential approach with a relay (Lemma 2) provides a significant sum rate gain compared to the conventional non-sequential approach with no relay (Lemma 1) under any condition.

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Section: Related Workmentioning

confidence: 99%

mentioning

confidence: 99%

An enhanced sum rate in the cluster based cognitive radio relay network using the sequential approach for the future Internet of Things

Miah

Schukat

Barrett

2018

Hum. Cent. Comput. Inf. Sci.

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“…Furthermore, subspace techniques are significantly robust against noise as shown in [29], unlike the methods used in [13,14,19], because they rely on the eigen-decomposition of the autocorrelation matrix which allows to remove the uncertain background noise in advance. This was the main motivation behind the recent study held in [30] that used subspace filtering to sense multiple PU signals corrupted with AWGN (Additive White Guassian Noise) and Rayleigh fading. The probabilistic analysis seems to be the main contribution of this work, which was already addressed in several previous studies [31,32].…”

Section: Related Workmentioning

confidence: 99%

GSM‐RF Channel Characterization Using a Wideband Subspace Sensing Mechanism for Cognitive Radio Networks

Barrak

Gonnouni

Serrano

et al. 2018

Wireless Communications and Mobile Computing

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In this paper, we examine a spectrum sharing opportunities over the existing Global System of Mobile Communication (GSM) networks, by identifying the unused channels at a specific time and location. For this purpose, we propose a wideband spectrum sensing mechanism to analyze the status of 51 channels at once, belonging to the 10 MHz bandwidth centered at the frequency 945 MHz, in four different areas. We propose a subspace based spectral estimation mechanism, adapted to deal with real measurements. The process begins with data collection using Secondary User (SU) device enabled with Software Defined Radio (SDR) technology, configured to operate in the GSM band. Obtained samples are used then to feed the sensing mechanism. Spectral analysis is delivered to estimate power density peaks and corresponding frequencies. Decision making phase brings together power thresholding technique and GSM control channel decoding to identify idle and busy channels. Experiments are evaluated using detection and false alarm probabilities emulated via Receiver Operating Characteristic (ROC) curves. Obtained performances show better detection accuracy and robustness against variant noise/fading effects, when using our mechanism compared to Energy Detection (ED) based ones as Welch method, and Beamforming based ones as Minimum Variance Distortionless Response (MVDR) method. Occupancy results exhibit considerable potential of secondary use in GSM based primary network.

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“…The sensing complexity is measured by the number of necessary multiplication and addition operations. The detection probability, the false alarm probability, and achievable throughput jointly affect the detection accuracy [4, 5].…”

Section: Introductionmentioning

confidence: 99%

Multistage spectrum sensing scheme with SNR estimation

Jing

Xie

et al. 2019

IET Communications

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Subspace-Based Method for Spectrum Sensing With Multiple Users Over Fading Channel

Cited by 23 publications

References 10 publications

An enhanced sum rate in the cluster based cognitive radio relay network using the sequential approach for the future Internet of Things

An enhanced sum rate in the cluster based cognitive radio relay network using the sequential approach for the future Internet of Things

GSM‐RF Channel Characterization Using a Wideband Subspace Sensing Mechanism for Cognitive Radio Networks

Multistage spectrum sensing scheme with SNR estimation

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