A New Adaptive Two Stage Spectrum Sensing Technique in Cognitive Radio System for Different Modulation Schemes

Ziboon, Hadi T.; Thabit, Ahmed A.

doi:10.19026/rjaset.13.3427

Cited by 4 publications

(3 citation statements)

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“…CR networks are proposed as a viable core technology for resolving this problem [4]. CR is a critical enabler technology that allows next-generation communications systems, usually called dynamic spectrum access (DSA) systems, to take advantage of the available spectrum more effectively and opportunistically without obstructing the licensed users [5]. CR can adjust their transmitter factors to different signaling systems to adapt to their surroundings; they can exchange information about their location and environment depending on the network and cooperation with other cognitive gadgets [6].…”

Section: Introductionmentioning

confidence: 99%

“…CR is a critical enabler technology that allows next-generation communications systems, usually called dynamic spectrum access (DSA) systems, to take advantage of the available spectrum more effectively and opportunistically without obstructing the licensed users [5]. CR can adjust their transmitter factors to different signaling systems to adapt to their surroundings; they can exchange information about their location and environment depending on the network and cooperation with other cognitive gadgets [6]. The unlicensed user (UU) in a cognitive radio system continuously detects whether a licensed user (LU) is present in the licensed frequency range when a LU is missing from a licensed spectrum; the UU can make use of these spectral gaps as soon as a LU arises, to reduce LU interference, the UU should immediately free up spectrum.…”

Section: Introductionmentioning

confidence: 99%

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Covariance absolute values spectrum sensing method based on two adaptive thresholds

Hashim

Ziboon

Abdulsatar

2023

IJEECS

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Cognitive radio is a modern wireless communication methodology that deals with the issue of spectrum untapped. Cognitive users can continually perceive the licensed spectrum to hunt for unoccupied spots. The essential technology in cognitive radio (CR) for primary user detection is spectrum sensing. Due to signal to noise ratio (SNR), noise uncertainty in spectrum sensing would make the detection unreliable. In this paper, the two adaptive thresholds based on_covariance absolute values (TATCAV) are proposed to increase detection performance in the presence of noise uncertainty. According to the computer simulations using MATLAB 2021b, the value of the probability of detection is Pd=98.1% Compared with the results of two thresholds based on_covariance absolute values (TTCAV) Pd= 95.3% at SNR=-18, noise uncertainty Nu=1.761 dB, and using quadrature amplitude modulation (QAM). And the error rate for the proposed approach is Pe=12.1% under the same circumstances. The proposed approach results, according to the simulations, are considerably better than the results of the fixed two-threshold approach.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Covariance absolute values spectrum sensing method based on two adaptive thresholds

Hashim

Ziboon

Abdulsatar

2023

IJEECS

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“…According to an assessment of future communication services demands, the spectrum is likely to expand even further in the next years. The licensed frequency limitation, on the other hand, is mainly attributable to wasteful static spectrum distributions rather than a physical limitation of the spectrum [1]. Cognitive radio is used in different fields like Narrow-band signals, Captured DTV signals [2].…”

Section: Introductionmentioning

confidence: 99%

Enhancement of a Two Thresholds sensing system by Segmentation of Confused Regions

2023

IJCCCE

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A new technique called cognitive radio seeks to utilize the available spectrum.. Spectrum sensing is the fundamental cognitive radio component. There are many types of sensing spectrums, one of which is The Two Thresholds Based on Covariance Absolute Values (TTCAV) method. This method's confused region, which is unsure whether it is a signal or noise, is one of its drawbacks. To solve this problem proposed two techniques, a 2-bit quantization technique and a 3-bit quantization technique. Both techniques use an adaptive threshold. The experimental results conducted using python version 3.7 and Jetson Nano kit show an improvement in the detection probability values after using the techniques. where the value of Pd = 80.2% for a 2-bit technique, Pd=90.3% for a 3-bit quantization technique, at SNR=-20 under smoothing factor L=3. The Monte Carlo was used to determine the effectiveness of the proposed techniques, and Binary Phase Shift Keying modulation BPSK. According to the experiment, the results after using the proposed techniques are better than before. Index Terms— cognitive radio, spectrum sensing, the Covariance matrix, Jetson Nano kit.

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Enhancing the Spectrum Sensing Technique Based on Covariance Absolute Value Using Double Adaptive Thresholds

Hashim,

Ziboon,

Abdulsatar

2022

2022 2nd International Conference on Advances in Engineering Science and Technology (AEST)

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A New Adaptive Two Stage Spectrum Sensing Technique in Cognitive Radio System for Different Modulation Schemes

Cited by 4 publications

References 0 publications

Covariance absolute values spectrum sensing method based on two adaptive thresholds

Covariance absolute values spectrum sensing method based on two adaptive thresholds

Enhancement of a Two Thresholds sensing system by Segmentation of Confused Regions

Enhancing the Spectrum Sensing Technique Based on Covariance Absolute Value Using Double Adaptive Thresholds

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