Wyszukiwanie zaawansowane ?

Obiekt

Efficient Iterative Detection Based on Conjugate Gradient and Successive Over-Relaxation Methods for Uplink Massive MIMO Systems, Journal of Telecommunications and Information Technology, 2023, nr 2
Pobierz

Tytuł: Efficient Iterative Detection Based on Conjugate Gradient and Successive Over-Relaxation Methods for Uplink Massive MIMO Systems, Journal of Telecommunications and Information Technology, 2023, nr 2

Autor:

Labed, Smail ; Aounallah, Naceur

Data wydania:

2023, nr 2

Typ zasobu:

artykuł

Tytuł publikacji grupowej:

2023, nr 2, JTIT-artykuły

Opis:

Being a crucial aspect of fifth-generation (5G) mobile communications systems, massively multiple-input multipleoutput (mMIMO) architectures are expected to help achieve the highest key performance indicators. However, the huge numbers of antennas used in such systems make it difficult to determine the inversion of the signal channel matrix relied upon by several detection methods, hence posing a problem with accurate estimation of the symbols sent. In this paper, conjugate gradient (CG) and successive over-relaxation (SOR) methods are selected to construct a new iterative approach that avoids the matrix inversion computation issue. This suggested approach for uplink mMIMO detection is based on a joint cascade structure of both iterative methods. The CG method is first applied and adjusted for the initial solution, followed by the SOR method in the final iterations for terminal computations, resulting in an algorithm with robust performance and low computational complexity. Furthermore, the new hybrid scheme operates based on the relaxation parameter, whose value has a great impact on error performance and, whose optimal determination is necessary. Numerical simulations reveal that the proposed scheme is capable of significantly improving signal detection accuracy with minimum complexity. The simulation results indicated that the proposed detector outperforms CG and SOR detectors, achieves close to optimal performance, requires fewer iterations, and reduces complexity

Wydawca:

Instytut Łączności - Państwowy Instytut Badawczy

Format:

application/pdf

Identyfikator zasobu:

oai:bc.itl.waw.pl:2272 ; ISSN 1509-4553, on-line: ISSN 1899-8852

DOI:

10.26636/jtit.2023.169023

eISSN:

1899-8852

Źródło:

Journal of Telecommunications and Information Technology

Język:

ang

Prawa:

Biblioteka Naukowa Instytutu Łączności

Temat i słowa kluczowe:

computational complexity conjugate gradient signal detection relaxation parameter massive MIMO

Kolekcje, do których przypisany jest obiekt:

Data ostatniej modyfikacji:

6 cze 2024

Data dodania obiektu:

12 lip 2023

Liczba wyświetleń treści obiektu:

17

Wszystkie dostępne wersje tego obiektu:

https://bc.itl.waw.pl/publication/2583

Wyświetl opis w formacie RDF:

RDF

Wyświetl opis w formacie OAI-PMH:

OAI-PMH

Nazwa wydania Data
Labed, Smail; Aounallah, Naceur, Efficient Iterative Detection Based on Conjugate Gradient and Successive Over-Relaxation Methods for Uplink Massive MIMO Systems, Journal of Telecommunications and Information Technology, 2023, nr 2 6 cze 2024

Obiekty Podobne
Preconditioned Conjugate Gradient Method for Solution of Large Finite Element Problems on CPU and GPU, Journal of Telecommunications and Information Technology, 2016, nr 2

Fialko, Sergiy Yu. Zeglen, Filip

2016, nr 2
artykuł
Military route planning in battlefield simulation: effectiveness problems and potential solutions, Journal of Telecommunications and Information Technology, 2003, nr 4

Tarapata, Zbigniew

2003, nr 4
artykuł
Anomaly Detection Framework Based on Matching Pursuit for Network Security Enhancement, Journal of Telecommunications and Information Technology, 2011, nr 1

Hołubowicz, Witold Renk, Rafał

2011, nr 1
artykuł
Journal of Telecommunications and Information Technology, Improved Signal Detection Techniques for QOSTBC System in Fast Fading Channel, 2020, nr 1

Patra, Jyoti P. Singh, Poonam

2020, nr 1
artykuł
2023, nr 4, JTIT-artykuły
2023, nr 4, JTIT-artykuły
Deep Learning-Powered Beamforming for 5G Massive MIMO Systems, Journal of Telecommunications and Information Technology, 2023, nr 4

Bendjillali, Ridha Ilyas Bendelhoum, Mohammed Sofiane Tadjeddine, Ali Abderrazak Kamline, Miloud

2023
artykuł
A Comparative Study of Various Edge Detection Techniques for Underwater Images, Journal of Telecommunications and Information Technology, 2022, nr 1

Yussof, Wan Nural Jawahir Hj Wan Awalludin, Ezmahamrul Afreen Bachok, Zainudin Hitam, Muhammad Suzuri Arsad, Tengku Noorfarahana T.

2022, nr 1
artykuł
Więcej
×

Cytowanie

Styl cytowania:

Dane kontaktowe

Adres

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

Telefon

(+48) 5128 696

E-Mail

biblioteka@il-pib.pl

Odwiedź nas!

Ta strona wykorzystuje pliki 'cookies'. Więcej informacji