uniquexuecn's Stars
jhan-04/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
caiotavares/spectrum-sensing
Spectrum sensing in cognitive radios leveraging machine learning models
yashcao/Intelligent-reflecting-surface-aided-multi-user-mmWave-communications-for-coverage-enhancement
PIMRC paper Reproducible codes
vineeths96/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.
YOHNGGG/Deep-Learning-based-Spectrum-Sensing
The codes for the method that uses feature extraction and deep learning to do spectrum sensing for cognitive radio.
shivangi-aneja/Cooperative-Spectrum-Sensing-Using-Cognitive-Radio
Bachelor Thesis
Oxtay/modulationclassification_matlab
MATLAB files of modulation classification in cognitive radios
vkumar-ucd/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.
dkrishna92/Spectrum-sensing-energy-detection
jesuspapgga/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.
guohuayan/Cognitive-Backscatter
Figure 4 in paper ``Cognitive Backscatter Network: A Spectrum Sharing Paradigm for Passive IoT''
FIR2FIABOE/Cognitive-Radio
Simulation Study of Double Threshold Energy Detection Method for Cognitive Radios
kaliliofs/Cognitive-Radio
MATLAB codes for cognitive radio which we used through the year
kamath-abhijith/Spectrum_Sensing
Spectrum Sensing for Cognitive Radio
charmilgandhi/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.
girmaymerkebu/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".
yogesh4344/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
Rizwana-NA/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
QXSLAB/vae_ism_ano
This repo provide code and dataset for paper "Unsupervised Spectrum Anomaly Detection Method for 1 Unauthorized Bands"
ZIYU-DEEP/Spectrum-Anomaly-Detection
The code for spectrum anomaly detection with dynamic threshold.