Deep learning-aided 6G wireless networks: A comprehensive survey of revolutionary PHY architectures

B Ozpoyraz, AT Dogukan, Y Gevez… - IEEE Open Journal …, 2022 - ieeexplore.ieee.org
Deep learning (DL) has proven its unprecedented success in diverse fields such as
computer vision, natural language processing, and speech recognition by its strong …

5G-advanced toward 6G: Past, present, and future

W Chen, X Lin, J Lee, A Toskala, S Sun… - IEEE Journal on …, 2023 - ieeexplore.ieee.org
Since the start of 5G work in 3GPP in early 2016, tremendous progress has been made in
both standardization and commercial deployments. 3GPP is now entering the second phase …

An overview of wireless communication technology using deep learning

J Jiao, X Sun, L Fang, J Lyu - China Communications, 2021 - ieeexplore.ieee.org
With the development of 5G, the future wireless communication network tends to be more
and more intelligent. In the face of new service demands of communication in the future such …

Deep learning-based user activity detection and channel estimation in grant-free NOMA

H Yu, Z Fei, Z Zheng, N Ye… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In the uplink machine-type communication (MTC) system, a combination of grant-free
transmission and non-orthogonal multiple access (NOMA) emerges to reduce the control …

Deep-waveform: A learned OFDM receiver based on deep complex-valued convolutional networks

Z Zhao, MC Vuran, F Guo… - IEEE Journal on Selected …, 2021 - ieeexplore.ieee.org
The (inverse) discrete Fourier transform (DFT/IDFT) is often perceived as essential to
orthogonal frequency-division multiplexing (OFDM) systems. In this paper, a deep complex …

Offset learning based channel estimation for intelligent reflecting surface-assisted indoor communication

Z Chen, J Tang, XY Zhang, Q Wu… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
The emerging intelligent reflecting surface (IRS) can significantly improve the system
capacity, and it has been regarded as a promising technology for the beyond fifth-generation …

Deep learning for super-resolution channel estimation in reconfigurable intelligent surface aided systems

W Shen, Z Qin, A Nallanathan - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Reconfigurable intelligent surface (RIS) enables the configuration of the propagation
environment. Channel estimation is an essential task in realizing the RIS-aided …

Artificial intelligence for channel estimation in multicarrier systems for B5G/6G communications: a survey

EC Vilas Boas, JDS e Silva, FAP de Figueiredo… - EURASIP Journal on …, 2022 - Springer
Multicarrier modulation allows for deploying wideband systems resilient to multipath fading
channels, impulsive noise, and intersymbol interference compared to single-carrier systems …

Robust deep learning for uplink channel estimation in cellular network under inter-cell interference

H Guo, VKN Lau - IEEE Journal on Selected Areas in …, 2023 - ieeexplore.ieee.org
Deep learning (DL)-based channel estimation has achieved remarkable success. However,
most existing works focus on the white Gaussian noise which are inapplicable for cell-edge …

Deep Learning-Based channel estimation with SRGAN in OFDM Systems

S Zhao, Y Fang, L Qiu - 2021 IEEE Wireless Communications …, 2021 - ieeexplore.ieee.org
In this paper, we propose a novel deep learning-based channel estimation scheme in an
orthogonal frequency division multiplexing (OFDM) system. The channel response with …