Analysis of an LSTM-based NOMA Detector Over Time Selective Nakagami-m Fading Channel Conditions

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

Identyfikatory

DOI

10.26636/jtit.2022.161222

• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

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

• Wydawca: Instytut Łączności - Państwowy Instytut Badawczy
• Czasopismo: Journal of Telecommunications and Information Technology
• Rocznik: 2022
• Tom: nr 3
• Strony: 17--24
• Opis fizyczny: Bibliogr. 24 poz., rys., tab.

Twórcy

autor

Shankar Ravi

• Madanapalle Institute of Technology and Science, Madanapalle, Andhra Pradesh, India

• https://orcid.org/0000-0001-7532-3275

autor

Bangare Jyoti L.

• Cummins College of Engineering for Women, Pune, India

autor

Kumar Ajay

• Department of Computer Science and Engineering, Jecrc University, Jaipur, India

autor

Gupta Sandeep

• Electrical & Electronics Engineering Department, Eklavya University, Sagar Road, Damoh, India

• https://orcid.org/0000-0002-3734-3723

autor

Mehraj Haider

• Department of Electronics and Communication Engineering, Baba Ghulam Shah Badshah University, Rajouri, J&K, India

• https://orcid.org/0000-0002-2215-8373

autor

Kulkarni Shriram S.

• Department of Information Technology, Sinhgad Academy of Engineering, Pune, India

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).