A Deep-Neural-Network-Based Relay Selection Scheme in Wireless-Powered Cognitive IoT Networks

[1]  Daesik Hong,et al.  Optimal Power Allocation and Outage Analysis for Cognitive Full Duplex Relay Systems , 2012, IEEE Transactions on Wireless Communications.

[2]  Nguyen Van Toan,et al.  Incremental relaying networks with energy harvesting relay selection: Performance analysis , 2018, Trans. Emerg. Telecommun. Technol..

[3]  Ian F. Akyildiz,et al.  Wireless sensor networks: a survey , 2002, Comput. Networks.

[4]  Daniel Benevides da Costa,et al.  Hybrid User Pairing for Spectral and Energy Efficiencies in Multiuser MISO-NOMA Networks With SWIPT , 2020, IEEE Transactions on Communications.

[5]  Hamid Sheikhzadeh,et al.  Deep Learning-Based Channel Estimation , 2018, IEEE Communications Letters.

[6]  Kai-Kit Wong,et al.  Deep Learning Enabled Optimization of Downlink Beamforming Under Per-Antenna Power Constraints: Algorithms and Experimental Demonstration , 2020, IEEE Transactions on Wireless Communications.

[7]  Beongku An,et al.  Cognitive Multihop Wireless Powered Relaying Networks Over Nakagami- ${m}$ Fading Channels , 2019, IEEE Access.

[8]  Daniel Benevides da Costa,et al.  On the Performance of Multihop Cognitive Wireless Powered D2D Communications in WSNs , 2020, IEEE Transactions on Vehicular Technology.

[9]  Nitish Srivastava,et al.  Dropout: a simple way to prevent neural networks from overfitting , 2014, J. Mach. Learn. Res..

[10]  Aggelos Bletsas,et al.  A simple Cooperative diversity method based on network path selection , 2005, IEEE Journal on Selected Areas in Communications.

[11]  Ponnuthurai N. Suganthan,et al.  Ensemble Classification and Regression-Recent Developments, Applications and Future Directions [Review Article] , 2016, IEEE Computational Intelligence Magazine.

[12]  Kiran Karra,et al.  Learning approximate neural estimators for wireless channel state information , 2017, 2017 IEEE 27th International Workshop on Machine Learning for Signal Processing (MLSP).

[13]  Qi Hao,et al.  Deep Learning for Intelligent Wireless Networks: A Comprehensive Survey , 2018, IEEE Communications Surveys & Tutorials.

[14]  Mohamed-Slim Alouini,et al.  Outage Analysis for Underlay Cognitive Networks Using Incremental Regenerative Relaying , 2013, IEEE Transactions on Vehicular Technology.

[15]  Jun Li,et al.  Simultaneous Wireless Information and Power Transfer (SWIPT): Recent Advances and Future Challenges , 2018, IEEE Communications Surveys & Tutorials.

[16]  Ashok K. Turuk,et al.  A framework for post-disaster communication using wireless ad hoc networks , 2017, Integr..

[17]  Li Sun,et al.  On the Combination of Cooperative Diversity and Multiuser Diversity in Multi-Source Multi-Relay Wireless Networks , 2010, IEEE Signal Processing Letters.

[18]  Guigang Zhang,et al.  Deep Learning , 2016, Int. J. Semantic Comput..

[19]  Shankar Prakriya,et al.  Performance of Energy-Buffer Aided Incremental Relaying in Cooperative Networks , 2018, IEEE Transactions on Wireless Communications.

[20]  Jimmy Ba,et al.  Adam: A Method for Stochastic Optimization , 2014, ICLR.

[21]  Jakob Hoydis,et al.  An Introduction to Deep Learning for the Physical Layer , 2017, IEEE Transactions on Cognitive Communications and Networking.

[22]  Dong-Seong Kim,et al.  MCNet: An Efficient CNN Architecture for Robust Automatic Modulation Classification , 2020, IEEE Communications Letters.

[23]  Mounir Ghogho,et al.  A Machine Learning Approach to Predicting Coverage in Random Wireless Networks , 2018, 2018 IEEE Globecom Workshops (GC Wkshps).

[24]  Ling Jian,et al.  Budget Online Learning Algorithm for Least Squares SVM , 2017, IEEE Transactions on Neural Networks and Learning Systems.

[25]  J. Guo,et al.  An improved analytical model for RF-DC conversion efficiency in microwave rectifiers , 2012, 2012 IEEE/MTT-S International Microwave Symposium Digest.

[26]  Neil Genzlinger A. and Q , 2006 .

[27]  Xiaowei Wang Decision-Tree-Based Relay Selection in Dualhop Wireless Communications , 2019, IEEE Transactions on Vehicular Technology.

[28]  Kurt Hornik,et al.  Multilayer feedforward networks are universal approximators , 1989, Neural Networks.

[29]  Rui Shi,et al.  Pilot-Based Channel Estimation for AF Relaying Using Energy Harvesting , 2017, IEEE Transactions on Vehicular Technology.

[30]  W. Marsden I and J , 2012 .

[31]  H. Vincent Poor,et al.  Multi-User SWIPT Cooperative Networks: Is the Max–Min Criterion Still Diversity-Optimal? , 2016, IEEE Transactions on Wireless Communications.

[32]  Xuemin Shen,et al.  Optimal relay selection and power control for energy-harvesting wireless relay networks , 2017, 2017 IEEE International Conference on Communications (ICC).

[33]  W. Hager,et al.  and s , 2019, Shallow Water Hydraulics.

[34]  Daniel Benevides da Costa,et al.  Exploiting Direct Links in Multiuser Multirelay SWIPT Cooperative Networks With Opportunistic Scheduling , 2017, IEEE Transactions on Wireless Communications.

[35]  Mazen O. Hasna,et al.  Secrecy Outage Performance of Ground-to-Air Communications With Multiple Aerial Eavesdroppers and Its Deep Learning Evaluation , 2020, IEEE Wireless Communications Letters.

[36]  Tony Q. S. Quek,et al.  Transmit Antenna Selection in MIMO Wiretap Channels: A Machine Learning Approach , 2018, IEEE Wireless Communications Letters.

[37]  Xuemin Shen,et al.  RF Energy Harvesting and Transfer in Cognitive Radio Sensor Networks: Opportunities and Challenges , 2018, IEEE Communications Magazine.

[38]  Ping Zhang,et al.  Neural Network-Based Relay Selection in Two-Way SWIPT-Enabled Cognitive Radio Networks , 2020, IEEE Transactions on Vehicular Technology.

[39]  Xiaojiang Du,et al.  A Survey of Machine and Deep Learning Methods for Internet of Things (IoT) Security , 2018, IEEE Communications Surveys & Tutorials.

[40]  Aarnout Brombacher,et al.  Probability... , 2009, Qual. Reliab. Eng. Int..

[41]  Dumitru Erhan,et al.  Going deeper with convolutions , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[42]  Daniel Benevides da Costa,et al.  Spectrally Efficient Diversity Exploitation Schemes for Downlink Cooperative Cellular Networks , 2012, IEEE Transactions on Vehicular Technology.