Adaptive absolute SCORE algorithm for spectrum sensing in cognitive radio

Nareshkumar, Shanigarapu; Bikshalu, Kalagadda

doi:10.1016/j.micpro.2019.05.003

Cited by 7 publications

(10 citation statements)

References 27 publications

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“…Additionally, the comparative analysis also provided to know the efficiency of the AAS-WTM-LFA based spectrum sensing in CR. The existing methods used for the comparison are ACS [18], AAS [18], AAS-CSLA [22], AAS-R8-CSA [22] and AAS-R8-CSLA [22]. The implementation of AAS-WTM-LFA architecture is carried out in the Xilinx tool for various virtex devices.…”

Section: Resultsmentioning

confidence: 99%

“…The implementation of AAS-WTM-LFA architecture is carried out in the Xilinx tool for various virtex devices. Here, ACS [18], AAS [18], AAS-CSLA [22], AAS-R8-CSA [22] and AAS-R8-CSLA [22] are implemented by using Xilinx tool to evaluate the AAS-WTM-LFA architecture.…”

Section: Resultsmentioning

confidence: 99%

“…S. Nareshkumar and K. Bikshalu [22] introduced an Adaptive Absolute SCORE (AA-SCORE) architecture for improving the spectrum utilization efficiency. This AA-SCORE (AAS) architecture is designed based on the FIR filter to reduce the system complexity.…”

Section: Literature Surveymentioning

confidence: 99%

“…The performances of AAS-WTM-LFA is compared with five different architectures in terms of FPGA parameters. The five different architectures used for the comparison are ACS [18], AAS [18], AAS-CSLA [22], AAS-R8-CSA [22] and AAS-R8-CSLA [22].…”

Section: Performance Analysis Using Xilinx Toolmentioning

confidence: 99%

See 3 more Smart Citations

FPGA Implementation of Adaptive Absolute SCORE Algorithm for Cognitive Radio Spectrum Sensing with WTM and LFA

Kumar¹,

Bikshalu²

2021

IJIES

Self Cite

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Cognitive Radio (CR) is generally a wireless communication system that has the ability to improve the network’s system-capacity. Since, the white space or temporally unused spectrum are used to enhance the systemcapacity and the important operation involved in the cognition cycle is spectrum sensing. This spectrum sensing supports the Cognitive Radio users to adjust with the environment by identifying the white/vacant spaces without creating any interference to the primary user communication. The traditional filters such as Finite Impulse Response (FIR) filters and median filters used in the spectrum sensing obtains high area utilization in Cognitive Radio. In order to overcome this, an Adaptive Absolute SCORE (AAS) technique is developed based on the FIR for improving the sensing function and radio sensitivity. The area and frequency of the AAS are enhanced by using the Wallace tree multiplier (WTM) and Ladner-Fischer Adder (LFA) in the design of the FIR. The proposed architecture used for the spectrum sensing is named as AAS-WTM-LFA. This AAS-WTM-LFA architecture is developed in the Xilinx tool for different Virtex devices. The performance of AAS-WTM-LFA is analyzed in terms of LUT, slices, flip flops, bonded Input and Output Block (IOB), frequency and power. Additionally, the quality of signal processed through the AAS-WTM-LFA architecture is analyzed as Bit Error Rate (BER) and False Acceptance Rate (FAR). Additionally, the AAS-WTM-LFA architecture is compared with ACS, AAS, AAS-CSLA, AAS-R8-CSA and AASR8-CSLA. The number of LUT for AAS-WTM-LFA architecture is 247 for Spartan 6 device, that is less when compared to the remaining architectures.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Literature Surveymentioning

confidence: 99%

Section: Performance Analysis Using Xilinx Toolmentioning

confidence: 99%

See 2 more Smart Citations

FPGA Implementation of Adaptive Absolute SCORE Algorithm for Cognitive Radio Spectrum Sensing with WTM and LFA

Kumar¹,

Bikshalu²

2021

IJIES

Self Cite

View full text Add to dashboard Cite

show abstract

“…As shown in Figure 1, the CR architecture which is commonly known as the cognitive cycle includes detecting spectrum white space, selecting the best frequency bands, coordinating spectrum access with other users and vacating the frequency when a PU appears [10]. Thus spectrum sensing involves sensing of the unused spectrum bands, spectrum sharing involves the management of access channels between many users while averting collision, spectrum decision involves the access and decision of the best channels, and spectrum mobility involves the switching to target channel when a licensed user appears.…”

Section: Architecture Of Cognitive Radio Networkmentioning

confidence: 99%

Analysis of spectrum allocation of secondary users based on linear cooperative spectrum sensing techniques in cognitive radio networks

Omariba¹

2021

Trends Comput Sci Inf Technol

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Energy Efficient Optimized Channel Estimation for Spectrum Sensing in Cognitive Radio Network

Rani¹,

Prashanth²

2021

Algorithms for Intelligent Systems

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Adaptive absolute SCORE algorithm for spectrum sensing in cognitive radio

Cited by 7 publications

References 27 publications

FPGA Implementation of Adaptive Absolute SCORE Algorithm for Cognitive Radio Spectrum Sensing with WTM and LFA

FPGA Implementation of Adaptive Absolute SCORE Algorithm for Cognitive Radio Spectrum Sensing with WTM and LFA

Analysis of spectrum allocation of secondary users based on linear cooperative spectrum sensing techniques in cognitive radio networks

Energy Efficient Optimized Channel Estimation for Spectrum Sensing in Cognitive Radio Network

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