A Novel OFDM Autoencoder Featuring CNN-Based Channel Estimation for Internet of Vessels

Lin, Bin; Wang, Xudong; Yuan, Weihao; Wu, Nan

doi:10.1109/jiot.2020.2986442

Cited by 46 publications

(15 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the field of UWAC, the physical layer algorithm is the basis of building the network layer. Due to the particularity of underwater acoustic network [27][28][29][30], the physical layer technology is particularly important. is paper starts from the physical layer technology, which can effectively connect the physical layer technology with the network and is an important research direction in the future.…”

Section: Introductionmentioning

confidence: 99%

Orthogonal Frequency Division Multiplexing Underwater Acoustic Communication System with Environmental Cognition Ability

QiXiaofei

GuoKang

et al. 2021

Security and Communication Networks

View full text Add to dashboard Cite

In UWAC (underwater acoustic communication), UWA (underwater acoustic) channels change rapidly due to varying environment conditions. AMC (adaptive modulation and coding) is an efficient technique to improve system efficiency by changing transmission parameters according to channel conditions in UWA channels. In this paper, we propose an environmental cognition orthogonal frequency division multiplexing (OFDM) UWAC system and compare it with AMC algorithm with six transmission modes together with three threshold detection algorithms. Simulation and experimental results show the effectiveness of the proposed system. The system will play an important role in future communication networks which can significantly improve the efficiency of the system.

show abstract

Section: Introductionmentioning

confidence: 99%

Orthogonal Frequency Division Multiplexing Underwater Acoustic Communication System with Environmental Cognition Ability

QiXiaofei

GuoKang

et al. 2021

Security and Communication Networks

View full text Add to dashboard Cite

show abstract

“…Since neural networks has shown powerful feature learning capacity, researchers had tried extensive explorations and designed two types of DL models, which are, as previously mentioned, data-driven [8] and model-driven [9] learning networks. A specially designed CE algorithm was proposed in [8], in which low resolution pilot information images were reconstructed into high resolution images rate image. And gradient disappearance problem in traditional CNN was resolved by adopting dense connection and feature reuse.…”

Section: Based Ce In Ofdm Systemmentioning

confidence: 99%

Application of Deep Learning in Wireless Networks for Channel Estimation: A Survey

Peng

Zhu

Liang

2022

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

The quality of channel estimation (CE) is critical to the performence of wireless communication systems. In addition to the conventional model based CE methods appeared in the past few decades, deep learning (DL) based CE methods, which is introduced to learn the statistical characteristics of wireless channels, has emerged as a promising methods in recently years. In this survey, different DL models applied to solve CE problems are discussed firstly, then DL-based CE problems in different wireless communication systems are investigated.

show abstract

“…The estimation of the channel at pilot frequencies depends on LS and LMS while the channel insertion is finished utilizing straight interposition, second solicitation inclusion, low-pass presentation, spline cubic interjection, also, time-space addition. The time-space introduction is gotten by breathing easy area through inverse discrete Fourier transform (IDFT), zero cushioning and returning to recurrence space through discrete Fourier transform (DFT) [24], [25]. Also, Pilots are sent in all the sub-transporters of the principal image of each square and channel estimation is performed by utilizing LS estimation.…”

Section: Channel Estimationmentioning

confidence: 99%

Channel estimation of OFDM in C-band communication systems under different distribution conditions

Al-Asady

Fakhruldeen

Alsudani

2021

IJEECS

View full text Add to dashboard Cite

<p>Orthogonal frequency division multiplexing (OFDM) is a transmission system that uses multiple orthogonal carriers that are sent out at the same time. OFDM is a technique for mobile and wireless communication that has high-efficient frequency utilization, high data-rate transmission, simple and efficient implementation using the fast Fourier transform (FFT) and the inverse fast Fourier transform (IFFT), and reduces inter symbol interference (ISI) by inserting cyclic prefix (CP). One of the most important approaches in an OFDM system is channel estimation. In this paper, the orthogonal frequency division multiplexing system with the Rayleigh channel module is analyzed for different areas. The proposed approach used large numbers of subcarriers to transmit the signals over 64-QAM modulation with pilot add channel estimation. The accuracy of the OFDM system is shown in the measuring of the relationships of peak power to the noise ratio and bit error rate.</p>

show abstract

A Novel OFDM Autoencoder Featuring CNN-Based Channel Estimation for Internet of Vessels

Cited by 46 publications

References 31 publications

Orthogonal Frequency Division Multiplexing Underwater Acoustic Communication System with Environmental Cognition Ability

Orthogonal Frequency Division Multiplexing Underwater Acoustic Communication System with Environmental Cognition Ability

Application of Deep Learning in Wireless Networks for Channel Estimation: A Survey

Channel estimation of OFDM in C-band communication systems under different distribution conditions

Contact Info

Product

Resources

About