论文标题

在不完善的通道估计下有效的PHY层抽象

Efficient PHY Layer Abstraction under Imperfect Channel Estimation

论文作者

Cao, Liu, Zhang, Lyutianyang, Jin, Sian, Roy, Sumit

论文摘要

由于大多数现有工作在理想的通道估计的假设下调查了PHY层抽象,因此,如果存在真实通信系统中的通道估计误差,则可能会变得不可靠。该字母通过考虑存在通道估计误差来改善有效的PHY层方法EESM-LOG-SGN PHY层抽象。我们开发了两种在不完善的通道估计下实现EESM-LOG-SGN PHY抽象的方法。我们表明,在多输入和单输出(MISO)/单输入和单输出(SISO)配置下,有效的SINR不受通道估计误差的影响,这也通过完整的PHY模拟验证。然后,在不同的正交频分多路复用(OFDM)方案下进行验证所开发的方法。

As most existing work investigate the PHY layer abstraction under an assumption of perfect channel estimation, it may become unreliable if there exists channel estimation error in a real communication system. This letter improves an efficient PHY layer method, EESM-log-SGN PHY layer abstraction, by considering the presence of channel estimation error. We develop two methods for implementing the EESM-log-SGN PHY abstraction under imperfect channel estimation. We show that the effective SINR is not impacted by the channel estimation error under multiple-input and single-output (MISO)/single-input and single-output (SISO) configuration, which is also verified by the full PHY simulation. The developed methods are then validated under different orthogonal frequency division multiplexing (OFDM) scenarios.

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