Enhancement of Equal Gain Combiner for Detection of Spectrum Hole in a Cognitive Radio System

Ojo, Samson I.; Adeyemo, Zachaeus K.; Ojo, Festus K.; A, Adedeji A.; Semire, F A

doi:10.13189/ujeee.2020.070503

Cited by 5 publications

(4 citation statements)

References 11 publications

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“…The effectiveness of the suggested energy-efficient optimal frequency spectrum management technique will be assessed across the combined fading channel, with the composite fading channel being employed in the modeling. The adopted Probability Density Function (PDF) for the composite fading channel ' ' is follows (Ojo et al, 2020).…”

Section: Development Of a Fading Channelmentioning

confidence: 99%

“…The outcome of earlier research showed that MRC and EGC perform better than TC due to their combiner nature. However, because of its less complicated hardware than MRC, EGC is frequently employed in the literature (Adeyemo et al, 2019;Ojo et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

“…(Kevin, 2012;Ojo et al, 2022). Spectrum Sensing (SS) involves an unlicensed user scanning the available spectrum to look for licensed users and pinpoint any gaps in coverage (Gevira, 2016;Ojo et al, 2020). SS involves detecting spectrum holes (white space) by sensing frequency spectrum in the cognitive user's immediate surroundings.…”

Section: Introductionmentioning

confidence: 99%

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Performance Analysis of Improved Technique for Optimal Frequency Spectrum Utilization Considering Energy and Eigenvalue Detectors

2023

ISDE

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Recently, exponential rise in the demand of wireless communication has led to gross reduction in the availability of wireless frequency spectrum to meet the proliferation of demands. Overlay and underlay cognitive radio used to address this problem is characterized with poor management of the assigned spectrum. The basic and essential mechanism of cognitive Radio (CR) to find unused spectrum is called Spectrum Sensing. This is important in optimizing frequency allocation for the increasing wireless communication system. Hence, this paper developed an energy efficient spectrum sensing technique for detection of white and brown space using energy and eigenvalue detector. Based on a predefined switching algorithm, the developed spectrum sensing system switches between overlay and underlay approach when there is presence of white space and brown space respectively. During the underlay approach, the cognitive user (CU) signal is coded using a Code Division Multiple Access (CDMA) to prevent primary users (PU) receiver from hearing CU signal and thereby improve the security of CU. Also, Hybrid Decode Amplify and Forward (H-DAF) cooperative relay technique is incorporated to enhance the coverage area of the cognitive user. However, during the overlay approach, H-DAF cooperative relay technique will be in sleep mode since CU can transmit with the maximum transmitting power. During the underlay approach, the received signal at the relay node is decoded, amplified, and coded using CDMA before forwarding to the CU receiver. The paper compared the performance of the two detectors by simulating the developed algorithm using MATLAB R2021a. Evaluation was based on Throughput, Spectrum Utilization Efficiency, and Spectral Efficiency by comparing Energy detector and Eigen Value detector.

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Section: Development Of a Fading Channelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Performance Analysis of Improved Technique for Optimal Frequency Spectrum Utilization Considering Energy and Eigenvalue Detectors

2023

ISDE

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“…AU owns the privileges to the assigned spectrum, while, CU is Unauthorized User (UAU) that makes use of the spectrum when it is idle. The SSH improves spectrum utilization by enabling CU to access the assigned spectrum without interfering with the AU [Ojo et al, 2020;Runze et al, 2019;Ojo and Fagbola, 2015;Jingwen et al, 2018;Hayking, 2005].…”

Section: Introductionmentioning

confidence: 99%

Comparative analysis of blind detectors in a cluster-based cooperative Spectrum Hole detection

Ojo¹,

Adeyemo²

2023

Nig. J. Technol. Dev.

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Prevention of authorized users from interference determine the accurate detection of Spectrum Hole (SH) is of great importance in a Spectrum Shearing Network (SSN). However, multipath fading and shadowing affect the accurate detection of SH resulting in interference. Cluster-Based Cooperative Spectrum Hole Detection (CBCSHD) used to address this problem depends on detector and number of clusters. Hence, comparative analysis of blind detectors in CBCSHD is carried out to evaluate its performance with various blind detectors and number of clusters. The CBCSHD is carried out using six Cognitive Users (CUs) that jointly carry out detection of SH and each of the CUs performs local sensing using Eigenvalue Detector (EVD), Energy Detector (ED) and Cyclostationary Detector (CD). The CUs form clusters to reduce reporting overhead between CUs. The local sensing results from individual user are combined at the Cluster Head (CH) using majority fusion rule. The performance of each of the detectors in CBCSHD is evaluated using Probability of Detection (PD) and Sensing Time (ST). PD values of 0.7661, 0.7160 and 0.6229 are obtained at SNR of 4 dB for ED, CD and EVD, respectively, while ST values of 3.0707, 3.7163 and 4.0907 s are obtained for ED, CD and EVD, respectively. The results obtained show that ED has the highest detection rate, followed by CD, while EVD shows the worst detection rate.

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Assessment of Soft Fusion Combination Rules under AWGN Channel and Rayleigh Channel in Cognitive Network

Kushwah

Nigam

2022

2022 IEEE 6th Conference on Information and Communication Technology (CICT)

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Enhancement of Equal Gain Combiner for Detection of Spectrum Hole in a Cognitive Radio System

Cited by 5 publications

References 11 publications

Performance Analysis of Improved Technique for Optimal Frequency Spectrum Utilization Considering Energy and Eigenvalue Detectors

Performance Analysis of Improved Technique for Optimal Frequency Spectrum Utilization Considering Energy and Eigenvalue Detectors

Comparative analysis of blind detectors in a cluster-based cooperative Spectrum Hole detection

Assessment of Soft Fusion Combination Rules under AWGN Channel and Rayleigh Channel in Cognitive Network

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