Deep Learning Based Successive Interference Cancellation for the Non-Orthogonal Downlink

Author:

Van Luong Thien1ORCID,Shlezinger Nir2ORCID,Xu Chao3ORCID,Hoang Tiep M.3ORCID,Eldar Yonina C.4ORCID,Hanzo Lajos3ORCID

Affiliation:

1. Faculty of Computer Science, Phenikaa University, Hanoi, Vietnam

2. School of ECE, Ben-Gurion University of the Negev, Be'er-Sheva, Israel

3. School of Electronics and Computer Science, University of Southampton, Southampton, U.K.

4. Faculty of Math and CS, Weizmann Institute of Science, Rehovot, Israel

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Aerospace Engineering,Automotive Engineering

Cited by 25 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Deep Convolutional-GRU-SVM-based Hybrid Approach for Signal Detection of Uplink NOMA System;Wireless Personal Communications;2024-08-10

2. Neural Network Equalizers and Successive Interference Cancellation for Bandlimited Channels with a Nonlinearity;2024 IEEE International Symposium on Information Theory (ISIT);2024-07-07

3. MIMO-NOMA-DAE: A Deep Learning based Downlink MIMO-NOMA Scheme for Low-Power Applications with Imperfect CSI;2024 6th Global Power, Energy and Communication Conference (GPECOM);2024-06-04

4. Improving NOMA Performance by Application of Autoencoders and Equidistant Power Allocation;2024 27th International Workshop on Smart Antennas (WSA);2024-03-17

5. DL-SIC: Deep Learning Aided Successive Interference Cancellation in Shared Spectrum;2024 International Conference on Computing, Networking and Communications (ICNC);2024-02-19

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