DocumentCode
266889
Title
Sparse code multiple access: An energy efficient uplink approach for 5G wireless systems
Author
Shunqing Zhang ; Xiuqiang Xu ; Lei Lu ; Yiqun Wu ; Gaoning He ; Yan Chen
Author_Institution
Huawei Technol., Co. Ltd., Shanghai, China
fYear
2014
fDate
8-12 Dec. 2014
Firstpage
4782
Lastpage
4787
Abstract
The rapid traffic growth and ubiquitous access requirements make it essential to explore the next generation (5G) wireless communication networks. In the current 5G research area, non-orthogonal multiple access has been proposed as a paradigm shift of physical layer technologies. Among all the existing non-orthogonal technologies, the recently proposed sparse code multiple access (SCMA) scheme is shown to achieve a better link level performance. In this paper, we extend the study by proposing an unified framework to analyze the energy efficiency of SCMA scheme and a low complexity decoding algorithm which is critical for prototyping. We show through simulation and prototype measurement results that SCMA scheme provides extra multiple access capability with reasonable complexity and energy consumption, and hence, can be regarded as an energy efficient approach for 5G wireless communication systems.
Keywords
5G mobile communication; multi-access systems; network coding; telecommunication traffic; 5G wireless communication systems; SCMA scheme; low complexity decoding algorithm; nonorthogonal multiple access; physical layer technologies; rapid traffic growth; sparse code multiple access; sparse code multiple access scheme; ubiquitous access requirements; Aggregates; Artificial neural networks; Complexity theory; Prototypes; Signal processing algorithms; Uplink; Wireless communication; 5G; energy efficiency; low complexity implementation; non-orthogonal multiple access; prototype; sparse code multiple access (SCMA);
fLanguage
English
Publisher
ieee
Conference_Titel
Global Communications Conference (GLOBECOM), 2014 IEEE
Conference_Location
Austin, TX
Type
conf
DOI
10.1109/GLOCOM.2014.7037563
Filename
7037563
Link To Document