Advanced search ?

Object

Analysis of an LSTM-based NOMA Detector Over Time Selective Nakagami-m Fading Channel Conditions, Journal of Telecommunications and Information Technology, 2022, nr 3
Download

Title: Analysis of an LSTM-based NOMA Detector Over Time Selective Nakagami-m Fading Channel Conditions, Journal of Telecommunications and Information Technology, 2022, nr 3

Creator:

Shankar, Ravi ; Mehraj, Haider ; Bangare, Jyoti L. ; Kumar, Ajay ; Kulkarni, Shriram S. ; Gupta, Sandeep

Date:

2022, nr 3

Resource Type:

artykuł

Description:

This work examines the efficacy of deep learning (DL) based non-orthogonal multiple access (NOMA) receivers in vehicular communications (VC). Analytical formulations for the outage probability (OP), symbol error rate (SER), and ergodic sum rate for the researched vehicle networks are established Rusing i.i.d. Nakagami-m fading links. Standard receivers, such as least square (LS) and minimum mean square error (MMSE), are outperformed by the stacked long-short term memory (S-LSTM) based DL-NOMA receiver. Under real time propagation circumstances, including the cyclic prefix (CP) and clipping distortion, the simulation curves compare the performance of MMSE and LS receivers with that of the DL-NOMA receiver. According to numerical statistics, NOMA outperforms conventional orthogonal multiple access (OMA) by roughly 20% and has a high sum rate when considering i.i.d. fading links.

Publisher:

Instytut Łączności - Państwowy Instytut Badawczy

Format:

application/pdf

Resource Identifier:

oai:bc.itl.waw.pl:2234 ; ISSN 1509-4553, on-line: ISSN 1899-8852

DOI:

10.26636/jtit.2022.161222

eISSN:

1899-8852

Source:

Journal of Telecommunications and Information Technology

Language:

ang

Rights Management:

Biblioteka Naukowa Instytutu Łączności

Subject and keywords:

non orthogonal multiple access (NOMA) orthogonal multiple access (OMA) deep learning (DL) multiple-input multiple-output (MIMO)

Object collections:

Last modified:

Jun 10, 2024

In our library since:

Feb 7, 2023

Number of object content hits:

35

All available object's versions:

https://bc.itl.waw.pl/publication/2543

Show description in RDF format:

RDF

Show description in OAI-PMH format:

OAI-PMH

Edition name Date
Bangare, Jyoti L., 2022, nr 3, Analysis of an LSTM-based NOMA Detector Over Time Selective Nakagami-m Fading Channel Conditions, Journal of Telecommunications and Information Technology, 2022, nr 3 Jun 10, 2024

Objects Similar
Transmit Diversity in the Downlink for the TETRA-TEDS System, Journal of Telecommunications and Information Technology, 2014, nr 1

Możdżonek, Sławomir Rutkowski, Dominik A.

2014, nr 1
artykuł
Analysis of Selective-Decode and Forward Relaying Protocol over κ-µ Fading Channel Distribution, Journal of Telecommunications and Information Technology, 2020, nr 1

Shankar, Ravi Mishra, Ritesh Kumar Bhardwaj, Lokesh

2020, nr 1
artykuł
Investigation of Vehicular S-LSTM NOMA Over Time Selective Nakagami-m Fading with Imperfect CSI, Journal of Telecommunications and Information Technology, 2022, nr 4

Shankar, Ravi Mishra, Ritesh Kumar Chaudhary, Bhanu Pratap

2022, nr 4
artykuł
An Investigation of the MIMO Space Time Block Code Based Selective Decode and Forward Relaying Network over η–µ Fading Channel Conditions, Journal of Telecommunications and Information Technology, 2022, nr 1

Shankar, Ravi K., Sarojini B. Raman, V. V. Raghava Rane, Kantilal Pitamber Neware, Rahul

2022, nr 1
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