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A Channel Allocation Algorithm for Cognitive Radio Users Based on Channel State Predictors.

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The article was published on 2021-01-01 and is currently open access. It has received 0 citations till now. The article focuses on the topics: Channel (broadcasting) & Channel allocation schemes.

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Proceedings ArticleDOI

A Neural Network Based Spectrum Prediction Scheme for Cognitive Radio

TL;DR: This work designs the spectrum predictor using the neural network model, multilayer perceptron (MLP), which does not require a prior knowledge of the traffic characteristics of the licensed user systems and achieves a low probability of error in predicting the idle channels.
Journal ArticleDOI

Convolutional Neural Networks for Automatic Cognitive Radio Waveform Recognition

TL;DR: This paper explores CNN in an automatic system to recognize the cognitive radio waveforms and determines the appropriate architecture to make CNN effective for proposed system, and research how to obtain the image features into CNN that based on Choi–Williams time-frequency distribution.
Journal ArticleDOI

Resource Allocation for Multi-Channel Underlay Cognitive Radio Network Based on Deep Neural Network

TL;DR: A resource allocation strategy based on a deep neural network (DNN) is proposed for multi-channel cognitive radio networks, where the secondary user (SU) opportunistically utilizes channels without causing excessive interference to the primary user (PU).
Proceedings ArticleDOI

Recurrent Neural Network-Based Frequency-Domain Channel Prediction for Wideband Communications

TL;DR: Results reveal that this predictor is effective to combat the outdated CSI with reasonable computational complexity and outperforms the Kalman filter-based predictor notably and has intrinsic flexibility to enable multi-step prediction.
Journal ArticleDOI

Hybrid UCB-HMM: A Machine Learning Strategy for Cognitive Radio in HF Band

TL;DR: A new hybrid system, which combines two types of machine learning techniques based on reinforcement learning and learning with Hidden Markov Models, is proposed, which increases the duration of data transmission's slots when conditions are favourable, and is also able to reduce the required signalling transmissions between transmitter and receiver to inform which channels have been selected for data transmission.
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