Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Neural network-based fading channel prediction: A comprehensive overview
By adapting transmission parameters such as the constellation size, coding rate, and
transmit power to instantaneous channel conditions, adaptive wireless communications can …
transmit power to instantaneous channel conditions, adaptive wireless communications can …
Deep learning for fading channel prediction
Channel state information (CSI), which enables wireless systems to adapt their transmission
parameters to instantaneous channel conditions and consequently achieve great …
parameters to instantaneous channel conditions and consequently achieve great …
Channel prediction using ordinary differential equations for MIMO systems
Channel state information (CSI) estimation is part of the most fundamental problems in 5G
wireless communication systems. In mobile scenarios, outdated CSI will have a serious …
wireless communication systems. In mobile scenarios, outdated CSI will have a serious …
Recurrent neural networks with long short-term memory for fading channel prediction
With the aid of accurate channel state information (CSI) at the transmitter, a wireless system
can receive great performance by adaptively selecting its transmission parameters …
can receive great performance by adaptively selecting its transmission parameters …
Off-grid error calibration for DOA estimation based on sparse Bayesian learning
H Fu, F Dai, L Hong - IEEE Transactions on Vehicular …, 2023 - ieeexplore.ieee.org
Compared with the traditional subspace-based methods, sparse signal recovery (SSR)
based methods have obvious advantages in performing the direction of arrival (DOA) …
based methods have obvious advantages in performing the direction of arrival (DOA) …
C-GRBFnet: A physics-inspired generative deep neural network for channel representation and prediction
In this paper, we aim to efficiently and accurately predict the static channel impulse response
(CIR) with only the user's position information and a set of channel instances obtained within …
(CIR) with only the user's position information and a set of channel instances obtained within …
A simple cooperative diversity method based on deep-learning-aided relay selection
Opportunistic relay selection (ORS) has been recognized as a simple but efficient method for
mobile nodes to achieve cooperative diversity in slow fading channels. However, the wrong …
mobile nodes to achieve cooperative diversity in slow fading channels. However, the wrong …
A two-stage 2D channel extrapolation scheme for TDD 5G NR systems
Recently, channel extrapolation has been widely investigated in frequency-division duplex
(FDD) massive multiple-input multiple-output (MIMO) systems. However, in time-division …
(FDD) massive multiple-input multiple-output (MIMO) systems. However, in time-division …
Channel prediction with time-varying doppler spectrum in high-mobility scenarios: A polynomial fourier transform based approach and field measurements
Beamforming for multi-antenna wireless communication systems has been widely studied
and applied in practice. However, its performance in high mobility scenarios deteriorates …
and applied in practice. However, its performance in high mobility scenarios deteriorates …
Neural network–based wireless channel prediction
This chapter provides a comprehensive introduction to channel prediction methods with an
emphasis on neural network‐based prediction. It first briefly describes adaptive transmission …
emphasis on neural network‐based prediction. It first briefly describes adaptive transmission …