To achieve ultra-reliable and low latency communications (URLLC) in various fading channels is a major challenge. Classical fading models can be unified with a universal fading model, namely, $\kappa {-}\mu… Click to show full abstract
To achieve ultra-reliable and low latency communications (URLLC) in various fading channels is a major challenge. Classical fading models can be unified with a universal fading model, namely, $\kappa {-}\mu $ shadowed fading. We consider multi-user multiple-input multiple-output (MU-MIMO) and maximal ratio combining detection to achieve URLLC under $\kappa {-}\mu $ shadowed fading in the uplink. Under imperfect channel state information (CSI), we derive the probability density function of the post-processing signal-to-noise ratio in the $\kappa {-}\mu $ shadowed fading channel. The finite blocklength information theory is used to calculate the error probability. Simulation results show that under severe $\kappa {-}\mu $ shadowed fading and imperfect CSI, system parameters can be configured and adapted to the fading parameters to achieve URLLC. The conclusions drawn on the $\kappa {-}\mu $ shadowed fading model can be applied to almost all classical fading models. In general, we overcome the mathematical intractability of the $\kappa {-}\mu $ shadow fading model under imperfect CSI, substantially expanding the scope of its application to URLLC.
