DeepReceiver: A deep learning-based intelligent receiver for wireless communications in the physical layer

S Zheng, S Chen, X Yang - IEEE Transactions on Cognitive …, 2020 - ieeexplore.ieee.org
A canonical wireless communication system consists of a transmitter and a receiver. The
information bit stream is transmitted after coding, modulation, and pulse shaping. Due to the …

基于深度学习的无线通信接收方法研究进展与趋势

李攀攀, 谢正霞, 乐光学, 刘鑫 - 电信科学, 2022 - infocomm-journal.com
随着无线通信应用边界的不断扩展, 无线通信应用环境也日趋复杂多样, 面临射频损伤,
信道衰落, 干扰和噪声等负面影响, 给接收端恢复原始信息带来挑战. 借鉴深度学习方法在计算机 …

Deep learning for signal demodulation in physical layer wireless communications: Prototype platform, open dataset, and analytics

H Wang, Z Wu, S Ma, S Lu, H Zhang, G Ding… - IEEE Access, 2019 - ieeexplore.ieee.org
In this paper, we investigate deep learning (DL)-enabled signal demodulation methods and
establish the first open dataset of real modulated signals for wireless communication …

Signal demodulation with machine learning methods for physical layer visible light communications: Prototype platform, open dataset, and algorithms

S Ma, J Dai, S Lu, H Li, H Zhang, C Du, S Li - IEEE Access, 2019 - ieeexplore.ieee.org
In this paper, we investigate the design and implementation of machine learning (ML)-based
demodulation methods in the physical layer of visible light communication (VLC) systems …

Software demodulation of weak radio signals using convolutional neural network

M Kozlenko, I Lazarovych, V Tkachuk… - 2020 IEEE 7th …, 2020 - ieeexplore.ieee.org
In this paper we proposed the use of JT65A radio communication protocol for data exchange
in wide-area monitoring systems in electric power systems. We investigated the software …

AIR: Threats of Adversarial Attacks on Deep Learning-Based Information Recovery

J Chen, J Ge, S Zheng, L Ye, H Zheng… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
A wireless communications system usually consists of a transmitter which transmits the
information and a receiver which recovers the original information from the received …

LoRa signal demodulation using deep learning, a time-domain approach

K Dakic, B Al Homssi, A Al-Hourani… - 2021 IEEE 93rd …, 2021 - ieeexplore.ieee.org
The LoRa modulation scheme is becoming one of the most adopted Internet of Things
wireless physical layer due to its ability to transmit data over long distances with low power …

Research progress and trends of deep learning based wireless communication receiving method.

LI Panpan, XIE Zhengxia… - Telecommunications …, 2022 - search.ebscohost.com
With the continues expansion of the application boundary for wireless communications, the
application environment of wireless communications is becoming increasingly complex and …

DemodNet: Learning soft demodulation from hard information using convolutional neural network

S Zheng, X Zhou, S Chen, P Qi, C Lou… - ICC 2022-IEEE …, 2022 - ieeexplore.ieee.org
Soft demodulation is a basic module of traditional communication receivers. It converts
received symbols into soft bits, that is, log likelihood ratios (LLRs). However, in the non-ideal …

Data‐Driven Signal Detection for Underwater Acoustic Filter Bank Multicarrier Communications

Y Zhu, B Wang, F Xie, C Wu… - … and Mobile Computing, 2022 - Wiley Online Library
By contraposing the signal detection for filter bank multicarrier (FBMC) communications with
the underwater acoustic (UWA) channel, this paper analyzes the traditional imaginary …