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Doubly irregular sparse code multiple access with EXIT analysis
Hidayat I.a, Meylani L.a, Kurniawan A.a, Arifianto M.S.a, Anwar K.
a School of Electrical Engineering and Informatics, Institut Teknologi Bandung, Bandung, 40132, Indonesia
b School of Electrical Engineering, Telkom University, Bandung, 40257, Indonesia
[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]© 2018 IEEE.Sparse Code Multiple Access (SCMA) is one of the potential candidates of multiple access technique to support future networks. This paper proposes doubly irregular SCMA (DI-SCMA) to increase the user capacity of massive wireless networks. The idea is coming from the fact that successive interference cancellation (SIC) works better when the degree distributions of the both user and resource nodes are irregular. Since iterative decoding is involved, we use extrinsic information transfer (EXIT) chart to predict the performances. With careful design of the degree distribution, we conduct computer simulations to observe the benefit of irregularity of the system. Our results confirmed that the proposed DI-SCMA can increase the user capacity with overloading factor of 300%. The efficiency of the proposed DI-SCMA is expected to be high as indicated by the small gap between area of capacity and coding rate in EXIT chart.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Degree distributions,doubly irregular SCMA,EXIT-Charts,Extrinsic information transfer charts,Multiple access techniques,overloading factor,SCMA,Successive interference cancellation(SIC)[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text]doubly irregular SCMA,EXIT Chart,overloading factor,SCMA[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text]https://doi.org/10.1109/ICSIGSYS.2018.8372648[/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]