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A scalable performance–complexity tradeoff for constellation randomization in spatial modulation

机译:空间调制中星座随机化的可扩展性能 - 复杂度权衡

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摘要

It is widely recognised that traditional single RFchain aided spatial modulation (SM) does not offer any transmit diversity gain. As a remedy, constellation randomization (CR), relying on transmit pre-scaling (TPS), has been shown to provide transmit diversity for single RF-chain aided SM. In this paper we propose a low-complexity approach to SM with the aid of constellation randomization (SM-CR) that considerably improves the transmit diversity gain of SM at a reduced computational burden compared to conventional SM-CR. While conventional SM-CR performs a full search amongst a set of candidate TPS factors in order to achieve the maximum minimum Euclidean distance (MED) in the received SM constellation, here we propose a thresholding approach, where instead of the maximum MED the TPS aims to satisfy a specific MED threshold. This technique offers a significant complexity reduction with respect to the full maximization of SM-CR, since the search for TPS is terminated once a TPS set is found that satisfies the MED threshold. Our analysis and results demonstrate that a scalable trade-off can be achieved between transmit diversity and complexity by appropriately selecting the MED threshold, where a significant complexity reduction is attained, while achieving a beneficial transmit diversity gain for the single-RF SM.
机译:众所周知,传统的单射频链辅助空间调制(SM)不提供任何发射分集增益。作为补救措施,星座图随机化(CR)依赖于传输预缩放(TPS),已显示为单个RF链辅助SM提供传输分集。在本文中,我们提出了一种借助星座图随机化(SM-CR)的低复杂度SM方法,与传统的SM-CR相比,该方法大大降低了SM的发射分集增益。尽管常规SM-CR在一组候选TPS因子中执行完整搜索以在接收到的SM星座图中实现最大最小欧几里德距离(MED),但在此我们提出了一种阈值化方法,其中TPS的目标不是最大MED以满足特定的MED阈值。由于一旦找到满足MED阈值的TPS集,就终止了对TPS的搜索,因此该技术相对于SM-CR的完全最大化具有显着的复杂性降低。我们的分析和结果表明,通过适当地选择MED阈值,可以在发射分集和复杂度之间实现可扩展的折衷,在该阈值下,可以显着降低复杂度,同时为单RF SM实现有益的发射分集增益。

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