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System-level performance estimation of SCMA

Authors: Ce Sun; Lei Li 0030; Jianqiang Chen; Dai Jia; Hanxiao Yu; Jingxuan Huang; Zesong Fei;

System-level performance estimation of SCMA

Abstract

Sparse code multiple access (SCMA) is a novel non-orthogonal multiple access technique, which enjoys the low complexity of message passing algorithm (MPA) and the shaping gain of multidimensional codewords. The performance of SCMA is usually evaluated by the system level simulation and represented by the block error rate (BLER) as a metric. In this paper, we propose a new evaluation method to evaluate the performance of SCMA at the system level. We establish a link to system (L2S) interface and get the relationship between the instantaneous SNR and effective SNR. The simulation results show that the system level BLER achieved by the proposed method is accurate for various coding rates and modulation schemes.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
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