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Published Paper Details:
Multiuser Detection for NOMA-PD-SCMA System Using DNN algorithm
Authors
T.umamaheswari,P.KOUSIK,S.ELISH KUMAR,S.SANTOSH KUMAR,Dr G.Nooka Raju
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Keywords
Non-orthogonal Multiple Access(NOMA), Multi-User Detection (MUD), Deep Learning (DL), Power-Domain Sparse Code Multiple Access (PD-SCMA), Successive Interference Cancellation (SIC), Message Passing Algorithm (MPA), Expectation Propagation Algorithm (EPA), Symbol Error Rate (SER), Batch Normalization.
Abstract
The implementation of hybrid multi-radio access technologies has great dependency upon the efficiencies of multi-user detection (MUD) available at the receiver unit. In order to get the best performance in hybrid power-domain sparse code multiple accesses (PD-SCMA) system, there is a need for effective and efficient strategies in detecting system due to the MUDs complexity and the processing time. A DL-MUD technique addresses this issue by allowing the system to perform detection of all the symbols without the need to do cumbersome interference cancelation or perform further channel estimation in an overloaded PD-SCMA system. In this work, a MUD-on-DNN-MUD technique is presented for the uplink channel in a PD-SCMA system, with both near users (NUs) and far users (FUs) treated as accommodated NUs through power domain multiplexing and FUs through code domain multiplexing respectively. The proposed system MUD also combines SIC and MPA/EPA in the same MUD architecture wherein SIC enhances MPA and EPA. Such integration solves interference diffusion problems in SIC and the efficiency problems of MPA/EPA. Finally, hollow-batch strategies during the training of the DNN were applied for improving the efficiency of detection by decreasing the shifts to internal cells. Performance evaluations demonstrate that the proposed DNN-MUD significantly surpasses conventional joint SIC-MPA/EPA schemes in terms of average symbol error rate (SER), complexity, and computational time.
IJCRT's Publication Details
Unique Identification Number - IJCRT2410525
Paper ID - 270263
Author type - Indian Author
Page Number(s) - e474-e481
Pubished in - Volume 12 | Issue 10 | October 2024
DOI (Digital Object Identifier) -
No Of Downloads - 120
Author Country - India, 532410, vizianagaram, vizianagaram, 532410, Science and Technology
Publisher Name - IJPUBLICATION | www.ijcrt.org | ISSN : 2320-2882
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T.umamaheswari,P.KOUSIK,S.ELISH KUMAR,S.SANTOSH KUMAR,Dr G.Nooka Raju, "Multiuser Detection for NOMA-PD-SCMA System Using DNN algorithm", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 10, pp.e474-e481, October 2024, Available at :http://www.ijcrt.org/papers/IJCRT2410525.pdf
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