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Exploiting Gaussian Approximation for Non-Orthogonal Coded Access

机译:利用非正交编码访问的高斯近似

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In this paper, let's exhibit the exploitation of Gaussian Approximation (GA) based detection algorithm for Non-Orthogonal Coded Access (NOCA). NOCA belongs to one candidate solution of Non-Orthogonal Multiple Access (NOMA), recently discussed for future wireless communications towards 5th Generation (5G) New Radio (NR) standard. It is well known that GA based detection algorithm was very elegantly introduced in Interleave Division Multiple Access (IDMA). As being an iterative detection approach, the computational requirement belongs to one of the major focuses of GA based detection algorithms. Thus, in this paper, the efficiency in sense of complexity, suitable use cases of GA based detection will be investigated with respect to NOCA and IDMA by link level simulations. Numerical results reveals that both IDMA and NOCA are suitable for sporadic traffic. Especially, NOCA exhibits high detection efficiency for earlier iterations, and IDMA exhibits the capability of overloading and performance convergence under very low Signal-to-Noise Ratio (SNR).
机译:在本文中,我们展示基于高斯近似(GA)的非正交编码访问(NOCA)检测算法的开发。 NOCA属于非正交多址(NOMA)的一种候选解决方案,最近针对面向第五代(5G)新无线电(NR)标准的未来无线通信进行了讨论。众所周知,基于遗传算法的检测算法是在交错分区多路访问(IDMA)中非常优美地引入的。作为一种迭代检测方法,计算需求属于基于GA的检测算法的主要重点之一。因此,在本文中,将通过链路级仿真针对NOCA和IDMA研究复杂性方面的效率,基于GA的检测的合适用例。数值结果表明,IDMA和NOCA均适用于零星流量。特别是,NOCA在较早的迭代中表现出很高的检测效率,而IDMA在非常低的信噪比(SNR)下表现出过载和性能收敛的能力。

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