An Approximate Evaluation of BER Performance for Downlink GSVD-NOMA with Joint Maximum-likelihood Detector

• Autorzy: Hai Ngo Thanh , Khoa Dang Le

Identyfikatory

DOI

10.26636/jtit.2022.160922

• Języki publikacji: EN

Abstrakty

EN

Generalized Singular Value Decomposition (GSVD) is the enabling linear precoding scheme for multiple-input multiple-output (MIMO) non-orthogonal multiple access (NOMA) systems. In this paper, we extend research concerning downlink MIMO-NOMA systems with GSVD to cover bit terror rate (BER) performance and to derive an approximate evaluation of the average BER performance. Specifically, we deploy, AT the base station, the well-known technique of joint-modulation to generate NOMAsymbols and joint maximum-likelihood (ML) to recover the transmitted data at end user locations. Consequently, the joint ML detector offers almost the same performance, In terms of average BER as ideal successive interference cancellation. Next, we also investigate BER performance of other precoding schemes, such as zero-forcing, block diagonalization, and simultaneous triangularization, comparing them with GSVD. Furthermore, BER performance is verified in different configurations in relation to the number of antennas. In cases where the number of transmit antennas is greater than twice the number of receive antennas, average BER performance is superior.

Słowa kluczowe

EN

generalized singular value decomposition; GSVD; joint maximum-likelihood; joint modulation; MIMO; non-orthogonal multiple access; NOMA

• Wydawca: Instytut Łączności - Państwowy Instytut Badawczy
• Czasopismo: Journal of Telecommunications and Information Technology
• Rocznik: 2022
• Tom: nr 3
• Strony: 25--37
• Opis fizyczny: Bibliogr. 31 poz., rys., tab.

Twórcy

autor

Hai Ngo Thanh

• Department of Telecommunications and Networks, University of Science, VNU-HCM, District 5, Ho Chi Minh City, Vietnam

autor

Khoa Dang Le

• Department of Telecommunications and Networks, University of Science, VNU-HCM, District 5, Ho Chi Minh City, Vietnam

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).