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

IEEE communications letters, 2018-09, Vol.22 (9), p.1942-1945

Lee, Woongsup

2018

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Deep Power Control: Transmit Power Control Scheme Based on Convolutional Neural Network

IEEE communications letters, 2018-06, Vol.22 (6), p.1276-1279

2018

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A Novel PAPR Reduction Scheme for OFDM System Based on Deep Learning

IEEE communications letters, 2018-03, Vol.22 (3), p.510-513

2018

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Deep Learning-Aided SCMA

IEEE communications letters, 2018-04, Vol.22 (4), p.720-723

2018

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Deep Spread Multiplexing and Study of Training Methods for DNN-Based Encoder and Decoder

Sensors (Basel, Switzerland), 2023-04, Vol.23 (8), p.3848

2023

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A mobile traffic load prediction based on recurrent neural network: A case of telecommunication in Afghanistan

Electronics letters, 2022-07, Vol.58 (14), p.563-565

2022

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Direct Electricity Trading in Smart Grid: A Coalitional Game Analysis

IEEE journal on selected areas in communications, 2014-07, Vol.32 (7), p.1398-1411

2014

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Electric Vehicle Charging Stations With Renewable Power Generators: A Game Theoretical Analysis

IEEE transactions on smart grid, 2015-03, Vol.6 (2), p.608-617

2015

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Deep Learning Frameworks for Solving Infeasible Optimization Problems in Vehicular Communications

IEEE open journal of the Communications Society, 2024, Vol.5, p.3289-3298

2024

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Analysis of Coverage in Heterogeneous Cellular Networks

IEEE communications letters, 2016-06, Vol.20 (6), p.1211-1214

2016

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Ensemble deep learning based resource allocation for multi-channel underlay cognitive radio system

ICT Express , 2023, 9(4), , pp.642-647

2023

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New D2D Peer Discovery Scheme Based on Spatial Correlation of Wireless Channel

IEEE transactions on vehicular technology, 2016-12, Vol.65 (12), p.10120-10125

2016

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Effect of Misaligned Relay on Output Power and Efficiency in Wireless Power Transfer

IEEE access, 2021, Vol.9, p.49448-49456

2021

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An Efficient Coded Streaming Using Clients’ Cache

Sensors (Basel, Switzerland), 2020-10, Vol.20 (21), p.6220

2020

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Joint Optimization of Spectrum Sensing and Transmit Power in Energy Harvesting-Based Cognitive Radio Networks

IEEE access, 2018, Vol.6, p.30653-30662

2018

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Estimation of best corrected visual acuity based on deep neural network

Scientific reports, 2022-10, Vol.12 (1), p.17808-17808, Article 17808

2022

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Resource Allocation Scheme for Guarantee of QoS in D2D Communications Using Deep Neural Network

IEEE communications letters, 2021-03, Vol.25 (3), p.887-891

2021

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Enhanced Spectrum Sensing Scheme in Cognitive Radio Systems With MIMO Antennae

IEEE transactions on vehicular technology, 2011-03, Vol.60 (3), p.1072-1085

2011

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Deep Learning-Based Resource Allocation for Device-to-Device Communication

IEEE transactions on wireless communications, 2022-07, Vol.21 (7), p.5235-5250

2022

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Deep Learning Framework for Two-Way MISO Wireless-Powered Interference Channels

IEEE transactions on wireless communications, 2023-10, Vol.22 (10), p.1-1

2023

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Resource Allocation for Vehicle-to-Infrastructure Communication Using Directional Transmission

IEEE transactions on intelligent transportation systems, 2016-04, Vol.17 (4), p.1183-1188

2016

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Deep Learning-Aided Distributed Transmit Power Control for Underlay Cognitive Radio Network

IEEE transactions on vehicular technology, 2021-04, Vol.70 (4), p.3990-3994

2021

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Deep Learning-Based Transmit Power Control for Wireless-Powered Secure Communications With Heterogeneous Channel Uncertainty

IEEE transactions on vehicular technology, 2022-10, Vol.71 (10), p.11150-11159

2022

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A Deep Learning Based Transmission Algorithm for Mobile Device-to-Device Networks

Electronics (Basel), 2019-11, Vol.8 (11), p.1361

2019

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Robust Trajectory and Resource Allocation for UAV Communications in Uncertain Environments With No-Fly Zone: A Deep Learning Approach

IEEE transactions on intelligent transportation systems, 2024, p.1-12

2024

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

Deep Power Control: Transmit Power Control Scheme Based on Convolutional Neural Network

A Novel PAPR Reduction Scheme for OFDM System Based on Deep Learning

Deep Learning-Aided SCMA

Deep Spread Multiplexing and Study of Training Methods for DNN-Based Encoder and Decoder

A mobile traffic load prediction based on recurrent neural network: A case of telecommunication in Afghanistan

Direct Electricity Trading in Smart Grid: A Coalitional Game Analysis

Electric Vehicle Charging Stations With Renewable Power Generators: A Game Theoretical Analysis

Deep Learning Frameworks for Solving Infeasible Optimization Problems in Vehicular Communications

Analysis of Coverage in Heterogeneous Cellular Networks

Ensemble deep learning based resource allocation for multi-channel underlay cognitive radio system

New D2D Peer Discovery Scheme Based on Spatial Correlation of Wireless Channel

Effect of Misaligned Relay on Output Power and Efficiency in Wireless Power Transfer

An Efficient Coded Streaming Using Clients’ Cache

Joint Optimization of Spectrum Sensing and Transmit Power in Energy Harvesting-Based Cognitive Radio Networks

Estimation of best corrected visual acuity based on deep neural network

Resource Allocation Scheme for Guarantee of QoS in D2D Communications Using Deep Neural Network

Enhanced Spectrum Sensing Scheme in Cognitive Radio Systems With MIMO Antennae

Deep Learning-Based Resource Allocation for Device-to-Device Communication

Deep Learning Framework for Two-Way MISO Wireless-Powered Interference Channels

Resource Allocation for Vehicle-to-Infrastructure Communication Using Directional Transmission

Deep Learning-Aided Distributed Transmit Power Control for Underlay Cognitive Radio Network

Deep Learning-Based Transmit Power Control for Wireless-Powered Secure Communications With Heterogeneous Channel Uncertainty

A Deep Learning Based Transmission Algorithm for Mobile Device-to-Device Networks

Robust Trajectory and Resource Allocation for UAV Communications in Uncertain Environments With No-Fly Zone: A Deep Learning Approach

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