使能$\kappa-\mu$下的URLLC

Teng Wu, Xiaochang Fan, Jie Zeng, Wei Ni, R. Liu
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引用次数: 0

摘要

在严重衰落下实现超可靠和低延迟通信(URLLC)确实具有挑战性。我们研究如何在$\kappa-\mu$阴影衰落下实现URLLC,因为使用$\kappa-\mu$阴影衰落模型可以统一多个传统衰落模型。对于具有两个单发射天线用户和$L$接收天线的MIMO系统,我们推导了最小均方误差检测的信噪比(SNR)的概率密度函数(PDF)。特别是,我们在完全信道状态信息(CSI)和不完全信道状态信息(CSI)两种情况下完成了上述工作。然后,根据受限的时延和给定导频长度,利用有限块长信息理论计算误差概率。仿真结果表明,我们可以根据$\kappa-\mu$参数配置系统参数,以满足延迟和可靠性的要求。因此,可以通过$\hslash-\mu$阴影衰落模型统一多个衰落模型来研究如何实现URLLC。
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Enabling URLLC under $\kappa-\mu$ Shadowed Fading
Enabling ultra-reliable and low latency communications (URLLC) under severe fading is really challenging. We study how to realize URLLC under $\kappa-\mu$ shadowed fading, because we can unify multiple traditional fading models by using the $\kappa-\mu$ shadowed fading model. For the MIMO system with two single-transmit-antenna users and $L$ receive antennas, we derive the probability density function (PDF) of the signal-to-noise ratio (SNR) of minimum mean squared error detection. In particular, we accomplish the above work in both perfect channel state information (CSI) and imperfect CSI. Then, the error probability can be calculated by the finite blocklength information theory, in accordance with constrained latency and given length of pilots. The simulation results show that we can configure the system parameters according to the $\kappa-\mu$ parameters, to satisfy the requirements for both latency and reliability. Hence, multiple fading models can be unified by the $\hslash-\mu$ shadowed fading model to study how to realize URLLC.
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