Multi-User Joint Detection Using Bi-Directional Deep Neural Network Framework in NOMA-OFDM System
Multi-User Joint Detection Using Bi-Directional Deep Neural Network Framework in NOMA-OFDM System
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Basel: MDPI AG
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English
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Basel: MDPI AG
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Non-orthogonal multiple access (NOMA) has great potential to implement the fifth-generation (5G) requirements of wireless communication. For a NOMA traditional detection method, successive interference cancellation (SIC) plays a vital role at the receiver side for both uplink and downlink transmission. Due to the complex multipath channel environme...
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Multi-User Joint Detection Using Bi-Directional Deep Neural Network Framework in NOMA-OFDM System
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TN_cdi_doaj_primary_oai_doaj_org_article_de6c2a62c5fa4def8956f94328307c73
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_de6c2a62c5fa4def8956f94328307c73
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ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s22186994
