Advanced search ?

Object

A Deep Learning-based Approach for Channel Estimation in Multi-access Multi-antenna Systems, Journal of Telecommunications and Information Technology, 2024, nr 3
Download

Title: A Deep Learning-based Approach for Channel Estimation in Multi-access Multi-antenna Systems, Journal of Telecommunications and Information Technology, 2024, nr 3

Creator:

Qasaymeh, Mahmoud M. ; Alqatawneh, Ali ; Khodeir, Mahmoud A. ; Aljaafreh, Ahmad F.

Date:

2024, nr 3

Resource Type:

artykuł

Group publication title:

2024, nr 3, JTIT-artykuły

Abstrakt:

This paper studies estimating the channel state information at the end of receiver (CSIR) for multiple transmitters communicating with only one receiver so that the latter can decode the incoming signal more efficiently. The transmitters and the receiver are all equipped with multi-antennas and using orthogonal space-time block codes (OSTBC). An algorithm is developed based on deep learning for estimating multi-user multiple-input multiple-output (MU-MIMO) channels. The algorithm could estimate the CSIR using a single pilot block. The proposed convolutional neural network (CNN) architecture designed for this task begins with an input layer that accepts grayscale images, followed by six convolutional blocks for feature extraction and processing. The network concludes with a fully connected layer to output the estimated channel information. It is trained using a regression loss function to map input images to accurate channel information accurately. The performance of the proposed method is compared with classical methods like least square and subspace-based methods, including Capon and rank revealing QR (RRQR) methods. CNN achieved better performance in comparison with the reference. Computer simulations are included to validate the proposed method.

Number:

3

Publisher:

National Institute of Telecommunications

Resource Identifier:

oai:bc.itl.waw.pl:2356 ; ISSN 1509-4553, on-line: ISSN 1899-8852

DOI:

10.26636/jtit.2024.3.1701

ISSN:

1509-4553

eISSN:

1899-8852

Source:

Journal of Telecommunications and Information Technology

Language:

ang

License:

CC BY 4.0

rights owner:

Instytut Łączności - Państwowy Instytut Badawczy

Subject and keywords:

channel estimation CNN CSI CSIR least squares method MU-MIMO OSTBC

Object collections:

Last modified:

Oct 2, 2024

In our library since:

Oct 2, 2024

Number of object content hits:

3

All available object's versions:

https://bc.itl.waw.pl/publication/2669

Show description in RDF format:

RDF

Show description in OAI-PMH format:

OAI-PMH

Edition name Date
Qasaymeh, Mahmoud M.; Alqatawneh, Ali; Khodeir, Mahmoud A., A Deep Learning-based Approach for Channel Estimation in Multi-access Multi-antenna Systems, Journal of Telecommunications and Information Technology, 2024, nr 3 Oct 2, 2024

Objects Similar
New OSTBC for Blind Channel Estimation and Tracking in MIMO-OFDM Systems, Journal of Telecommunications and Information Technology, 2019, nr 3

Keche, Mokhtar Tami, Abdelkader Bouazza, Boubaker S.

2019, nr 3
artykuł
A versatile tool for extraction of MOSFETs parameters, Journal of Telecommunications and Information Technology, 2005, nr 1

Tomaszewski, Daniel Grabiec, Piotr Marczewski, Jacek Domański, Krzysztof Kucharski, Krzysztof Kociubiński, Andrzej

2005, nr 1
artykuł
Modeling and Parameter Estimation of Radar Sea-Clutter with Trimodal Gamma Population, Journal of Telecommunications and Information Technology, 2022, nr 2

Mezache, Amar Terki, Zakia Chebbara, Fouad

2022, nr 2
artykuł
Improvement of LTE Downlink Channel Estimation Performance by Using an Adaptive Pilot Pattern, Journal of Telecommunications and Information Technology, 2015, nr 2

Youssefi, My Abdelkader El Abbadi, Jamal

2015, nr 2
artykuł
QoS-based Joint User Selection and Scheduling for MU-MIMO WLANs, Journal of Telecommunications and Information Technology, 2017, nr 4

Hency, Victor Dhason Berlin Rao, Dasari Srinivasa

2017, nr 4
artykuł
A DFT-based Low Complexity LMMSE Channel Estimation Technique for OFDM Systems, Journal of Telecommunications and Information Technology, 2022, nr 1

Patra, Jyoti P. Singh, Poonam Pradhan, Bibhuti Bhusan

2022, nr 1
artykuł
2024, nr 2, JTIT-artykuły
2024, nr 2, JTIT-artykuły
Exact Analysis of MIMO Channel Estimation Based on Superimposed Training, Journal of Telecommunications and Information Technology, 2024, nr 2

Addad, Mouad Toaba, Hanane Meriem Djebbari, Ali

2024
artykuł
An Extended Version of the Proportional Adaptive Algorithm Based on Kernel Methods for Channel Identification with Binary Measurements, Journal of Telecommunications and Information Technology, 2022, nr 3

Safi, Said Darif, Anouar Fateh, Rachid

2022, nr 3
artykuł
More
×

Citation

Citation style:

Contact details

Address

Instytut Łączności – Państwowy Instytut Badawczy ul. Szachowa 1 04-894 Warszawa

Phone

(+48) 5128 696

E-Mail

biblioteka@il-pib.pl

Visit us!

This page uses 'cookies'. More information