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NUC optimization for Hierarchical Modulation aiming at achieving comparable capacity with Layered Division Multiplexing

机译:NUC优化用于分层复用实现可比容量的层次调制

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This paper investigates the non-uniform constellation (NUC) optimization adapted for Hierarchical modulation (HM) without using Successive Interference Cancellation (SIC). This approach reduces system demod/decode delay in comparison to Layered Division Multiplexing (LDM). The objective is enabling the capacity achieved by HM comparable to LDM. To achieve this goal, the constellation constrained capacity of Enhanced Layer (EL) service in HM is maximized, while the capacity of Core Layer (CL) service are approximately the same in HM and LDM. Particle Swarm optimization (PSO) algorithm is used to solve this problem. To accelerate the optimization, initial constellation is selected from regular NUCs or the combination of CL and EL constellations of LDM in ATSC 3.0. The results imply that under certain capacity demands, especially when there is a large difference between the SNR thresholds for correct decoding of CL and EL or the power ratio of CL to EL is high (for example, 10 dB or higher), HM, with lower delay compared to LDM, can achieve capacity close to LDM with the help of NUC. Even if the power ratio of CL to EL is relatively low (for example, 3 dB), the capacity loss can be reduced with properly designed NUC and the SNR threshold loss of EL can be lower than 1 dB with respect to LDM. However, LDM is still superior to HM when the difference between the SNR thresholds of CL and EL is relatively low.
机译:本文研究了适用于分层调制(HM)的非均匀星座(NUC)优化而不使用连续干扰消除(SIC)。与分层分割复用(LDM)相比,该方法减少了系统解码/解码延迟。目标是通过与LDM相当的HM实现的能力。为了实现这一目标,最大化了HM中增强层(EL)服务的星座约束容量,而核心层(CL)服务的容量在HM和LDM中大致相同。粒子群优化(PSO)算法用于解决这个问题。为了加速优化,初始星座选自常规NUC或ATSC 3.0中LDM的CL和EL星座的组合。结果意味着,在某些容量需求下,特别是当SNR阈值与Cl和El的正确解码的SNR阈值之间存在很大差异时,或者Cl到EL的功率比为高(例如,10 dB或更高),HM与LDM相比,延迟较低,可以在NUC的帮助下实现接近LDM的容量。即使CL对EL的功率比相对较低(例如,3dB),也可以通过适当设计的NUC降低容量损耗,并且EL的SNR阈值损失相对于LDM可以低于1dB。然而,当CL和EL的SNR阈值之间的差异相对较低时,LDM仍然优于HM。

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