论文标题
符号级的预编码对多级调制的实用
Symbol-Level Precoding Made Practical for Multi-Level Modulations via Block-Level Rescaling
论文作者
论文摘要
在本文中,我们提出了一种通过内部功率分配方案进行多层调制的干扰剥削符号级预码(SLP)方法,以大大减少信号开销。现有的SLP方法需要向用户重新调节的符号级别的符号级广播,这阻碍了SLP的实际实现。所提出的方法允许在传统的块级预码中进行重新缩放因子的块级广播,从而大大降低了SLP的信号开销,而无需牺牲性能。我们的推导进一步表明,所提出的块内功率分配具有精确的闭合溶液,因此不会增加基站(BS)的复杂性。除了通过有效吞吐量结果验证的信号开销的显着缓解外,数值结果表明,提出的功率分配方法还改善了现有SLP的误差率性能。因此,提出的方法可以在多级调制中实际使用SLP。
In this paper, we propose an interference exploitation symbol-level precoding (SLP) method for multi-level modulations via an in-block power allocation scheme to greatly reduce the signaling overhead. Existing SLP approaches require the symbol-level broadcast of the rescaling factor to the users for correct demodulation, which hinders the practical implementation of SLP. The proposed approach allows a block-level broadcast of the rescaling factor as done in traditional block-level precoding, greatly reducing the signaling overhead for SLP without sacrificing the performance. Our derivations further show that the proposed in-block power allocation enjoys an exact closed-form solution and thus does not increase the complexity at the base station (BS). In addition to the significant alleviation of the signaling overhead validated by the effective throughput result, numerical results demonstrate that the proposed power allocation approach also improves the error-rate performance of the existing SLP. Accordingly, the proposed approach enables the practical use of SLP in multi-level modulations.