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GPU Accelerated PIC and SIC for OFDM-NOMA

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dc.contributor.author Manglayev, Talgat
dc.contributor.author Kizilirmak, Refik Caglar
dc.contributor.author Abdul Hamid, Asilah Wati
dc.date.accessioned 2019-04-24T13:01:10Z
dc.date.available 2019-04-24T13:01:10Z
dc.date.issued 2019-02-26
dc.identifier.citation Manglayev, T.; Kizilirmak, R.C.; Hamid, N.A.W.A. GPU Accelerated PIC and SIC for OFDM-NOMA. Electronics 2019, 8, 257. en_US
dc.identifier.uri http://dx.doi.org/10.3390/electronics8030257
dc.identifier.uri http://nur.nu.edu.kz/handle/123456789/3841
dc.description.abstract Non-orthogonal multiple access (NOMA) is a candidate multiple access scheme for the fifth-generation (5G) cellular networks. In NOMA systems, all users operate at the same frequency and time, which poses a challenge in the decoding process at the receiver side. In this work, the two most popular receiver structures, successive interference cancellation (SIC) and parallel interference cancellation (PIC) receivers, for NOMA reverse channel are implemented on a graphics processing unit (GPU) and compared. Orthogonal frequency division multiplexing (OFDM) is considered. The high computational complexity of interference cancellation receivers undermines the potential deployment of NOMA systems. GPU acceleration, however, challenges this weakness, and our numerical results show speedups of about from 75–220-times as compared to a multi-thread implementation on a central processing unit (CPU). SIC and PIC multi-thread execution time on different platforms reveals the potential of GPU in wireless communications. Furthermore, the successful decoding rates of the SIC and PIC are evaluated and compared in terms of bit error rate. en_US
dc.language.iso en en_US
dc.publisher MDPI en_US
dc.rights Attribution-NonCommercial-ShareAlike 3.0 United States *
dc.rights.uri http://creativecommons.org/licenses/by-nc-sa/3.0/us/ *
dc.subject non-orthogonal multiple access en_US
dc.subject successive interference cancellation en_US
dc.subject parallel interference cancellation en_US
dc.subject orthogonal frequency division multiplexing en_US
dc.subject graphics processing unit en_US
dc.subject CUDA en_US
dc.title GPU Accelerated PIC and SIC for OFDM-NOMA en_US
dc.type Article en_US
workflow.import.source science

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