Implementation of Cooperative Spectrum Sensing Algorithm using Raspberry Pi

Khan, Ammar Ahmed; Shaikh, Aamir Zeb; Naqvi, Shabbar; Altaf, Talat

doi:10.14569/ijacsa.2016.071247

Cited by 2 publications

(2 citation statements)

References 27 publications

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“…These challenges can be addressed by the evolution of wireless standards, which can be achieved through the adoption of various technologies. These technologies include massive multiple-input multiple-output (MIMO) systems, artificial intelligence (AI), visible light communication (VLC), millimeter wave (mmWave) communications, cognitive radios (Khadim et al, 2017;Khan et al, 2016;Shaikh and Altaf, 2013;Shaikh and Tamil, 2015) and device-to-device (D2D) communications (Letaief et al, 2019;Noura and Nordin, 2016). D2D communications provide exciting opportunities to communicate user equipment directly to base stations (Fig.…”

Section: Introductionmentioning

confidence: 99%

Communication mode selection and game theoretic bandwidth sharing model for D2D relay communication

Zaidi¹,

Shaikh²,

Arfeen³

2023

Int. j. adv. appl. sci.

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Device-to-device (D2D) communication plays a crucial role in achieving successful implementation of 5G+ and 6G wireless networks. The selection of the communication mode is a vital parameter that enables the activation of a communication link through D2D relays. Consequently, this selection can be considered the fundamental functionality responsible for activating the communication mode of transmission within any device-to-device communication network. This research paper proposes a communication mode selection scheme based on a hexagonal cellular structure. The scheme holds significant potential for application in various wireless transmission schemes. Additionally, the paper investigates the issue of bandwidth sharing in device-to-device networks. In future wireless systems, device-centric approaches will be widely adopted, necessitating a key focus on spectrum sharing. The proposed scheme not only facilitates wireless users in sharing their available spectrum with others but also allows them to receive financial rewards in return. This cooperative sharing approach fosters collaboration among wireless users. Furthermore, the paper compares the performance of two utility functions for the purpose of bandwidth sharing. The Cobb-Douglas model is utilized to present the proposed bandwidth-sharing scheme between two users. Simulation experiments are conducted to determine the percentage of bandwidth shared by the two users under various scenarios, including a case where both users share 50% of the bandwidth. The results indicate that the optimal utility function is achieved when one user shares 10% of the bandwidth while the other user shares 90%.

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Section: Introductionmentioning

confidence: 99%

Communication mode selection and game theoretic bandwidth sharing model for D2D relay communication

Zaidi¹,

Shaikh²,

Arfeen³

2023

Int. j. adv. appl. sci.

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“…The process of cognitive cycle starts with gathering RF spectrum monitoring [3]- [5]. This can be done through spectrum sensing process [6] and geo-location databases [7]. Spectrum monitoring combined with Radio Environmental Maps (REM) can also produce a better method of identifying unused Spectral bands [8].…”

Section: Introductionmentioning

confidence: 99%

Opportunistic use of Spectral Holes in Karachi using Convolutional Neural Networks

Shaikh¹,

Naqvi²,

Ali³

et al. 2020

IJACSA

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Wireless services appearing in the next generation wireless standard i.e. 6G include Internet of Everything (IoE), Holographic communications, smart transportation and smart cities require exponential rise in the bandwidth in addition to other requirements. The current static spectrum allocation policy does not allow any new entrant to exploit already grid-locked Radio Frequency (RF) spectrum. Hence, quest for larger bandwidth can be fulfilled through other technologies. These include exploiting sub-Terahertz band, Visible Light Communication and Cognitive Radio scheme or exploiting of RF bands in opportunistic fashion. Cognitive Radio is one of those engines to exploit the RF spectrum in secondary style. Cognitive Radio can use artificial intelligence driven algorithms to complete the task. Several intelligent algorithms can be used for better forecasting of spectral holes. Convolutional Neural Network (CNN) is a Deep Learning algorithm that can be used to predict the presence of a spectral hole that can be opportunistically exploited for efficient utilization of RF spectrum in secondary fashion. This paper investigates the performance of CNN for metropolitan Karachi city of Pakistan so that the users can be provided with uninterrupted access to the network even under busy hours. Dataset for the proposed setup is collected for 1805 MHz frequency band through NI 2901 Universal Software Radio Peripheral (USRP) devices. The root mean square error (RMSE) for the predicted results using CNN appears to be 81.02 at epoch of 200 and mini-batch loss of 3281.8. Based on the predicted results, it was concluded that CNN can be useful for investigating the possible opportunistic usage of RF spectrum; however, further investigation is required with different datasets.

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Implementation of Cooperative Spectrum Sensing Algorithm using Raspberry Pi

Cited by 2 publications

References 27 publications

Communication mode selection and game theoretic bandwidth sharing model for D2D relay communication

Communication mode selection and game theoretic bandwidth sharing model for D2D relay communication

Opportunistic use of Spectral Holes in Karachi using Convolutional Neural Networks

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