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Cognitive-Backscatter

Figure 4 in paper ``Cognitive Backscatter Network: A Spectrum Sharing Paradigm for Passive IoT''

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IRS_MIMO_UnderlaySpectrumSharing

Simulation code for "Achievable Rate Maximization for Underlay Spectrum Sharing MIMO System with Intelligent Reflecting Surface," by V. Kumar, M. F. Flanagan, R. Zhang, and L. -N. Tran, IEEE Wireless Communications Letters, 2022, doi: 10.1109/LWC.2022.3180988.

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IRS_Enhanced-Wireless-Network_Joint-Active-and-Passive-BeamformingDesign_Qingqing-Wu-and-Rui-Zhang

paper simulation "Intelligent Reflecting Surface Enhanced Wireless Network_Joint Active and Passive BeamformingDesign" Qingqing Wu and Rui Zhang

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Cognitive-Radio

Simulation Study of Double Threshold Energy Detection Method for Cognitive Radios

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modulationclassification_matlab

MATLAB files of modulation classification in cognitive radios

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Cognitive-Radio

MATLAB codes for cognitive radio which we used through the year

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spectrum-sensing

Spectrum sensing in cognitive radios leveraging machine learning models

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Technology-Recognition-for-4G-LTE-and-5G-NR

Implementation of technology recognition model to identify 4G LTE, 5G NR, and Overlap signals. The model is used in our paper titled "Enabling Uncoordinated Dynamic Spectrum Sharing Between LTE and NR Networks".

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Capacity-Limits-of-Cognitive-Radio

Analyzing the capacity gains of opportunistic spectrum-sharing channels in fading environments with imperfect channel information considering average received-power constraint

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Deep-Learning-based-Spectrum-Sensing

The codes for the method that uses feature extraction and deep learning to do spectrum sensing for cognitive radio.

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Rizwana-N-A_191911045

I have developed a code for the comparative analysis of the Cognitive Radio Network's Accuracy using Energy Detection Technique over the other Spectrum Sensing Techniques

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vae_ism_ano

This repo provide code and dataset for paper "Unsupervised Spectrum Anomaly Detection Method for 1 Unauthorized Bands"

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Spectrum-Anomaly-Detection

The code for spectrum anomaly detection with dynamic threshold.

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Hard-fusion-based-spectrum-sensing-over-Rayleigh-fading-channel-and-SSDF-attack-detection

Here are some matlab simulations for Hard fusion based spectrum sensing over Rayleigh Fading channel in cognitive vehicular network. Also, a matlab simulation for detection of SSDF attack in cognitive network and how to prevent them.

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Spectrum_Sensing

Spectrum Sensing for Cognitive Radio

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Cooperative-energy-spectrum-sensing

Centralized cooperative spectrum sensing with soft fusion of energy measurements in highly mobile environments. Neyman-Pearson (NP) detection criterion. Three methods: LRT (assuming the instantaneous SNRs at the cognitive radios are known by the fusion center, Generalized LRT (GLRT), Online Expectation-Maximization (EM) based algorithm that jointly estimates the SNRs and detects the presence of primary signals.

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Spectrum-Sensing-for-Cognitive-Radio

In this repository, we deal with developing an energy detector and a detector based on cyclostationarity for an OFDM based cognitive radio system and implementing and evaluating the performance of these detectors.

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