Crossref Citations
This Book has been cited by the following publications. This list is generated based on data provided by Crossref.
Aygul, Mehmet Ali
Memisoglu, Ebubekir
Cirpan, Hakan Ali
and
Arslan, Huseyin
2022.
Identification of Distorted RF Components via Deep Multi-Task Learning.
p.
1.
Yu, Wei
Sohrabi, Foad
and
Jiang, Tao
2022.
Role of Deep Learning in Wireless Communications.
IEEE BITS the Information Theory Magazine,
Vol. 2,
Issue. 2,
p.
56.
Mulgund, A.
Devroye, N.
Turán, Gy.
and
Žefran, M.
2023.
Decomposing the Training of Deep Learned Turbo codes via a Feasible MAP Decoder.
p.
1.
Adiga, Sudarshan
Xiao, Xin
Tandon, Ravi
Vasić, Bane
and
Bose, Tamal
2023.
Generalization Bounds for Neural Belief Propagation Decoders.
p.
596.
Raviv, Tomer
and
Shlezinger, Nir
2023.
Data Augmentation for Deep Receivers.
IEEE Transactions on Wireless Communications,
Vol. 22,
Issue. 11,
p.
8259.
Gómez-Vega, Carlos A.
Win, Moe Z.
and
Conti, Andrea
2023.
Machine Learning Based Node Selection for UWB Network Localization.
p.
735.
Ruzomberka, Eric
Love, David J.
Brinton, Christopher G.
Gupta, Arpit
Wang, Chih-Chun
and
Poor, H. Vincent
2023.
Challenges and Opportunities for Beyond-5G Wireless Security.
IEEE Security & Privacy,
Vol. 21,
Issue. 5,
p.
55.
Cohen, Kfir M.
Park, Sangwoo
Simeone, Osvaldo
and
Shamai Shitz, Shlomo
2023.
Calibrating AI Models for Wireless Communications via Conformal Prediction.
IEEE Transactions on Machine Learning in Communications and Networking,
Vol. 1,
Issue. ,
p.
296.
Gómez-Vega, Carlos A.
Win, Moe Z.
and
Conti, Andrea
2023.
Neural Network Based Node Prioritization for Efficient Localization.
p.
1.
2023.
Deep Reinforcement Learning for Wireless Communications and Networking.
p.
241.
Xu, Minrui
Niyato, Dusit
Yang, Zhaohui
Xiong, Zehui
Kang, Jiawen
Kim, Dong In
and
Shen, Xuemin
2023.
Privacy-Preserving Intelligent Resource Allocation for Federated Edge Learning in Quantum Internet.
IEEE Journal of Selected Topics in Signal Processing,
Vol. 17,
Issue. 1,
p.
142.
Kocevska, Teodora
Javornik, Tomaž
Švigelj, Aleš
Rashkovska, Aleksandra
and
Hrovat, Andrej
2023.
Identification of Indoor Radio Environment Properties from Channel Impulse Response with Machine Learning Models.
Electronics,
Vol. 12,
Issue. 12,
p.
2746.
2023.
Deep Reinforcement Learning for Wireless Communications and Networking.
p.
137.
Raviv, Tomer
Park, Sangwoo
Simeone, Osvaldo
Eldar, Yonina C.
and
Shlezinger, Nir
2023.
Online Meta-Learning for Hybrid Model-Based Deep Receivers.
IEEE Transactions on Wireless Communications,
Vol. 22,
Issue. 10,
p.
6415.
Zhu, Han
Huang, Zhentao
Lam, Chan-Tong
Wu, Qingying
Yang, Boyu
and
Ng, Benjamin K.
2023.
A Space Shift Keying-Based Optimization Scheme for Secure Communication in IIoT.
IEEE Systems Journal,
Vol. 17,
Issue. 4,
p.
5261.
Zhou, Xingyu
Liang, Le
Zhang, Jing
Wen, Chao-Kai
and
Jin, Shi
2023.
MIMO Detection Using Gradient-Based Markov Chain Monte Carlo Methods.
p.
5683.
2023.
Deep Reinforcement Learning for Wireless Communications and Networking.
p.
1.
Wang, Yang
Gao, Zhen
Zheng, Dezhi
Chen, Sheng
Gündüz, Deniz
and
Poor, H. Vincent
2023.
Transformer-Empowered 6G Intelligent Networks: From Massive MIMO Processing to Semantic Communication.
IEEE Wireless Communications,
Vol. 30,
Issue. 6,
p.
127.
Yun, Won Joon
Park, Soohyun
Lee, Rhoan
Park, Jihong
Ko, Young-Chai
and
Kim, Joongheon
2024.
Fundamentals of 6G Communications and Networking.
p.
733.
Zhou, Xingyu
Liang, Le
Zhang, Jing
Wen, Chao-Kai
and
Jin, Shi
2024.
Gradient-Based Markov Chain Monte Carlo for MIMO Detection.
IEEE Transactions on Wireless Communications,
Vol. 23,
Issue. 7,
p.
7566.
