
OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
Detection Algorithms for Communication Systems Using Deep Learning
Nariman Farsad, Andrea Goldsmith
arXiv (Cornell University) (2017)
Open Access | Times Cited: 131
Nariman Farsad, Andrea Goldsmith
arXiv (Cornell University) (2017)
Open Access | Times Cited: 131
Showing 1-25 of 131 citing articles:
An Introduction to Deep Learning for the Physical Layer
Timothy J. O’Shea, Jakob Hoydis
IEEE Transactions on Cognitive Communications and Networking (2017) Vol. 3, Iss. 4, pp. 563-575
Open Access | Times Cited: 2528
Timothy J. O’Shea, Jakob Hoydis
IEEE Transactions on Cognitive Communications and Networking (2017) Vol. 3, Iss. 4, pp. 563-575
Open Access | Times Cited: 2528
Deep Learning Based Communication Over the Air
Sebastian Dörner, Sebastian Cammerer, Jakob Hoydis, et al.
IEEE Journal of Selected Topics in Signal Processing (2017) Vol. 12, Iss. 1, pp. 132-143
Open Access | Times Cited: 777
Sebastian Dörner, Sebastian Cammerer, Jakob Hoydis, et al.
IEEE Journal of Selected Topics in Signal Processing (2017) Vol. 12, Iss. 1, pp. 132-143
Open Access | Times Cited: 777
Learning to Optimize: Training Deep Neural Networks for Interference Management
Haoran Sun, Xiangyi Chen, Qingjiang Shi, et al.
IEEE Transactions on Signal Processing (2018) Vol. 66, Iss. 20, pp. 5438-5453
Open Access | Times Cited: 757
Haoran Sun, Xiangyi Chen, Qingjiang Shi, et al.
IEEE Transactions on Signal Processing (2018) Vol. 66, Iss. 20, pp. 5438-5453
Open Access | Times Cited: 757
Deep Learning for Intelligent Wireless Networks: A Comprehensive Survey
Qian Mao, Fei Hu, Qi Hao
IEEE Communications Surveys & Tutorials (2018) Vol. 20, Iss. 4, pp. 2595-2621
Closed Access | Times Cited: 692
Qian Mao, Fei Hu, Qi Hao
IEEE Communications Surveys & Tutorials (2018) Vol. 20, Iss. 4, pp. 2595-2621
Closed Access | Times Cited: 692
Wireless Networks Design in the Era of Deep Learning: Model-Based, AI-Based, or Both?
Alessio Zappone, Marco Di Renzo, Mérouane Debbah
IEEE Transactions on Communications (2019) Vol. 67, Iss. 10, pp. 7331-7376
Open Access | Times Cited: 573
Alessio Zappone, Marco Di Renzo, Mérouane Debbah
IEEE Transactions on Communications (2019) Vol. 67, Iss. 10, pp. 7331-7376
Open Access | Times Cited: 573
Deep learning for wireless physical layer: Opportunities and challenges
Tianqi Wang, Chao-Kai Wen, Hanqing Wang, et al.
China Communications (2017) Vol. 14, Iss. 11, pp. 92-111
Open Access | Times Cited: 573
Tianqi Wang, Chao-Kai Wen, Hanqing Wang, et al.
China Communications (2017) Vol. 14, Iss. 11, pp. 92-111
Open Access | Times Cited: 573
Deep Learning Methods for Improved Decoding of Linear Codes
Eliya Nachmani, Elad Marciano, Loren Lugosch, et al.
IEEE Journal of Selected Topics in Signal Processing (2018) Vol. 12, Iss. 1, pp. 119-131
Open Access | Times Cited: 521
Eliya Nachmani, Elad Marciano, Loren Lugosch, et al.
IEEE Journal of Selected Topics in Signal Processing (2018) Vol. 12, Iss. 1, pp. 119-131
Open Access | Times Cited: 521
Thirty Years of Machine Learning: The Road to Pareto-Optimal Wireless Networks
Jingjing Wang, Chunxiao Jiang, Haijun Zhang, et al.
IEEE Communications Surveys & Tutorials (2020) Vol. 22, Iss. 3, pp. 1472-1514
Open Access | Times Cited: 475
Jingjing Wang, Chunxiao Jiang, Haijun Zhang, et al.
IEEE Communications Surveys & Tutorials (2020) Vol. 22, Iss. 3, pp. 1472-1514
Open Access | Times Cited: 475
Learning to Detect
Neev Samuel, Tzvi Diskin, Ami Wiesel
IEEE Transactions on Signal Processing (2019) Vol. 67, Iss. 10, pp. 2554-2564
Open Access | Times Cited: 439
Neev Samuel, Tzvi Diskin, Ami Wiesel
IEEE Transactions on Signal Processing (2019) Vol. 67, Iss. 10, pp. 2554-2564
Open Access | Times Cited: 439
A Deep Learning Framework for Optimization of MISO Downlink Beamforming
Wenchao Xia, Gan Zheng, Yongxu Zhu, et al.
IEEE Transactions on Communications (2019) Vol. 68, Iss. 3, pp. 1866-1880
Open Access | Times Cited: 276
Wenchao Xia, Gan Zheng, Yongxu Zhu, et al.
IEEE Transactions on Communications (2019) Vol. 68, Iss. 3, pp. 1866-1880
Open Access | Times Cited: 276
An Iterative BP-CNN Architecture for Channel Decoding
Fei Liang, Cong Shen, Feng Wu
IEEE Journal of Selected Topics in Signal Processing (2018) Vol. 12, Iss. 1, pp. 144-159
Open Access | Times Cited: 266
Fei Liang, Cong Shen, Feng Wu
IEEE Journal of Selected Topics in Signal Processing (2018) Vol. 12, Iss. 1, pp. 144-159
Open Access | Times Cited: 266
Learning Optimal Resource Allocations in Wireless Systems
Mark Eisen, Clark Zhang, Luiz F. O. Chamon, et al.
IEEE Transactions on Signal Processing (2019) Vol. 67, Iss. 10, pp. 2775-2790
Open Access | Times Cited: 250
Mark Eisen, Clark Zhang, Luiz F. O. Chamon, et al.
IEEE Transactions on Signal Processing (2019) Vol. 67, Iss. 10, pp. 2775-2790
Open Access | Times Cited: 250
One-Bit OFDM Receivers via Deep Learning
Eren Balevi, Jeffrey G. Andrews
IEEE Transactions on Communications (2019) Vol. 67, Iss. 6, pp. 4326-4336
Open Access | Times Cited: 122
Eren Balevi, Jeffrey G. Andrews
IEEE Transactions on Communications (2019) Vol. 67, Iss. 6, pp. 4326-4336
Open Access | Times Cited: 122
Online Extreme Learning Machine-Based Channel Estimation and Equalization for OFDM Systems
Jun Liu, Kai Mei, Xiaochen Zhang, et al.
IEEE Communications Letters (2019) Vol. 23, Iss. 7, pp. 1276-1279
Closed Access | Times Cited: 104
Jun Liu, Kai Mei, Xiaochen Zhang, et al.
IEEE Communications Letters (2019) Vol. 23, Iss. 7, pp. 1276-1279
Closed Access | Times Cited: 104
Joint Transceiver Optimization for Wireless Communication PHY Using Neural Network
Banghua Zhu, Jintao Wang, Longzhuang He, et al.
IEEE Journal on Selected Areas in Communications (2019) Vol. 37, Iss. 6, pp. 1364-1373
Closed Access | Times Cited: 97
Banghua Zhu, Jintao Wang, Longzhuang He, et al.
IEEE Journal on Selected Areas in Communications (2019) Vol. 37, Iss. 6, pp. 1364-1373
Closed Access | Times Cited: 97
Non-Linear Digital Self-Interference Cancellation for In-Band Full-Duplex Radios Using Neural Networks
Alexios Balatsoukas‐Stimming
(2018), pp. 1-5
Open Access | Times Cited: 90
Alexios Balatsoukas‐Stimming
(2018), pp. 1-5
Open Access | Times Cited: 90
Physical layer deep learning of encodings for the MIMO fading channel
Timothy J. O’Shea, Tugba Erpek, T. Charles Clancy
(2017), pp. 76-80
Closed Access | Times Cited: 88
Timothy J. O’Shea, Tugba Erpek, T. Charles Clancy
(2017), pp. 76-80
Closed Access | Times Cited: 88
Deep Learning-Based Sphere Decoding
Mostafa Mohammadkarimi, Mehrtash Mehrabi, Masoud Ardakani, et al.
IEEE Transactions on Wireless Communications (2019) Vol. 18, Iss. 9, pp. 4368-4378
Open Access | Times Cited: 84
Mostafa Mohammadkarimi, Mehrtash Mehrabi, Masoud Ardakani, et al.
IEEE Transactions on Wireless Communications (2019) Vol. 18, Iss. 9, pp. 4368-4378
Open Access | Times Cited: 84
Intelligent Radio Signal Processing: A Survey
Quoc‐Viet Pham, Nhan T. Nguyen, Thien Huynh‐The, et al.
IEEE Access (2021) Vol. 9, pp. 83818-83850
Open Access | Times Cited: 64
Quoc‐Viet Pham, Nhan T. Nguyen, Thien Huynh‐The, et al.
IEEE Access (2021) Vol. 9, pp. 83818-83850
Open Access | Times Cited: 64
On deep learning-based communication over the air
Sebastian Dörner, Sebastian Cammerer, Jakob Hoydis, et al.
(2017), pp. 1791-1795
Open Access | Times Cited: 74
Sebastian Dörner, Sebastian Cammerer, Jakob Hoydis, et al.
(2017), pp. 1791-1795
Open Access | Times Cited: 74
Intelligent Wireless Communications Enabled by Cognitive Radio and Machine Learning
Xiangwei Zhou, Mingxuan Sun, Geoffrey Ye Li, et al.
arXiv (Cornell University) (2017)
Open Access | Times Cited: 69
Xiangwei Zhou, Mingxuan Sun, Geoffrey Ye Li, et al.
arXiv (Cornell University) (2017)
Open Access | Times Cited: 69
Blind Channel Equalization Using Variational Autoencoders
Avi Caciularu, David Burshtein
2022 IEEE International Conference on Communications Workshops (ICC Workshops) (2018), pp. 1-6
Open Access | Times Cited: 64
Avi Caciularu, David Burshtein
2022 IEEE International Conference on Communications Workshops (ICC Workshops) (2018), pp. 1-6
Open Access | Times Cited: 64
Deep Learning-Aided Tabu Search Detection for Large MIMO Systems
Nhan T. Nguyen, Kyungchun Lee
IEEE Transactions on Wireless Communications (2020) Vol. 19, Iss. 6, pp. 4262-4275
Open Access | Times Cited: 62
Nhan T. Nguyen, Kyungchun Lee
IEEE Transactions on Wireless Communications (2020) Vol. 19, Iss. 6, pp. 4262-4275
Open Access | Times Cited: 62
An Overview of Machine Learning-Based Techniques for Solving Optimization Problems in Communications and Signal Processing
Hayssam Dahrouj, Rawan Alghamdi, Hibatallah Alwazani, et al.
IEEE Access (2021) Vol. 9, pp. 74908-74938
Open Access | Times Cited: 51
Hayssam Dahrouj, Rawan Alghamdi, Hibatallah Alwazani, et al.
IEEE Access (2021) Vol. 9, pp. 74908-74938
Open Access | Times Cited: 51
Inference From Randomized Transmissions by Many Backscatter Sensors
Guangxu Zhu, Seung‐Woo Ko, Kaibin Huang
IEEE Transactions on Wireless Communications (2018) Vol. 17, Iss. 5, pp. 3111-3127
Open Access | Times Cited: 54
Guangxu Zhu, Seung‐Woo Ko, Kaibin Huang
IEEE Transactions on Wireless Communications (2018) Vol. 17, Iss. 5, pp. 3111-3127
Open Access | Times Cited: 54