Use this example as part of a complete deep learning workflow: The Capture and Label NR and LTE Signals for AI Training (Wireless Testbench) example shows how to scan, capture, and label bandwidths with 5G NR and LTE signals using a SDR. This example shows how to train a semantic...
In this context, deep learning (DL) based models can be an appropriate solution for building spectrum detection methods.This paper proposes a spectrum sensing architecture combining a convolutional neural network and long short-term memory (CNN-LSTM). This architecture takes advantage of the spatial ...
利用LSTM结构来挖掘PU活动模式;(2)提出的CNN-LSTM检测器不受信号噪声模型假设的影响;(3)仿真结果表明,在有噪声不确定性(NU)的场景和没有NU的场景下,CNN-LSTM检测器的性能优于基准检测器。
Effective cooperative spectrum sensing using deep recurrent reinforced learning-based Q-routing in multihop cognitive radio networks Cognitive radio network (CRN) is a promising technology that mitigates the scarcity of spectrum. The main challenge faced in the opportunistic CRN is the s... VNJ Robert...
In this paper, the problem of dynamic spectrum sensing and aggregation is investigated in a wireless network containing N correlated channels, where these channels are occupied or vacant following an unknown joint 2-state Markov model. At each time slot, a single cognitive user with certain bandwid...
Enhancing Spectrum Sensing for Cognitive Radio: Radio Signal Classification Using Neural Networks Computer engineeringArtificial intelligenceComputer scienceAcousticsWith the rapid development of numerous wireless network technologies and the growing number of wireless devices in use globally, sharing the radio ...
SDR Implementation of Spectrum Sensing Using Deep Learning Software Defined Radio (SDR) is a technology that offers a high level of reconfigurability to address the issue of spectrum sparsity in wireless communicat... Z Sabrina,T Djamal,T Camel,... - 《International Journal of Sensors Wireless...
摘要 The state-of-the-art goodness-of-fit (GoF) test algorithms for spectrum sensing directly make decisions based on temp... 关键词 Cognitive radio / spectrum sensing / goodness-of-fit test / random...
CRN An intelligent wireless communication system that dynamically adapts its operations to the surrounding environment by sensing and utilizing available spectrum resources efficiently. Intra-band Prediction It involves inferring the future spectrum evolution of a given band based on its past spectrum measure...
Nyquist wide band sensing is a simple approach for quickly obtaining a wide band signal using a standard ADC and then detecting spectral opportunities using FFT, Wavelet Transform. However, high-rate ADCs are challenging to implement with today's electronics. Another option is to use the super he...