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Performance study of MPA, Log-MPA and MAX-Log-MPA for an uplink SCMA scenario

机译：上行SCMA场景下MPA，Log-MPA和MAX-Log-MPA的性能研究

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Sparse code multiple access (SCMA) is a promising non-orthogonal multiple access scheme in order to fulfill the stringent 5G use cases requirements. SCMA can be seen as an improvement of low density signature orthogonal frequency division multiple access that takes advantage of codes sparsity to yield users overload. Generally, SCMA is implemented with message passing algorithm (MPA) at the decoder to benefit from the strong iterative decoding performance. On the other hand, it suffers from high complexity due to the large number of involved exponential operations to compute the log likelihood ratio (LLR). Hence, simplified sub-optimal versions of MPA known as MAX-Log-MPA and Log-MPA were proposed in order to ensure a trade-off between system complexity and performance. This paper presents a comprehensive comparison between those three algorithms in Gaussian and fading channels and precisely explains algorithms performance through a study of the extrinsic information behavior.
机译：稀疏代码多路访问（SCMA）是一种有前途的非正交多路访问方案，可以满足严格的5G用例要求。 SCMA可以看作是低密度签名正交频分多址的一种改进，它利用代码稀疏性来产生用户过载。通常，SCMA在解码器处通过消息传递算法（MPA）实现，以受益于强大的迭代解码性能。另一方面，由于要计算对数似然比（LLR）涉及大量的指数运算，因此它具有很高的复杂性。因此，为了确保在系统复杂度和性能之间进行权衡，提出了称为MAX-Log-MPA和Log-MPA的MPA简化次优版本。本文对高斯信道和衰落信道中的这三种算法进行了全面的比较，并通过研究外部信息行为来精确地解释了算法的性能。

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