## What is/are Mimo Fading?

Mimo Fading - We derive the space–time correlation functions for the scattering environments in terms of the different system parameters of the MIMO fading channel.^{[1]}However, due to the complexity of modeling and solving the optimization problems over mmWave m-MIMO fading channels in the non-asymptotic error-control regime, it is challenging to derive an optimal resource allocation policy for maximizing $\epsilon$ -effective capacity to guarantee statistical delay/error-rate bounded QoS.

^{[2]}Our simulation results show that the proposed NOMA-PSM scheme is capable of achieving considerable performance gains over conventional orthogonal multiple access aid PSM and antenna-grouping-based PSM in wireless MIMO fading channels.

^{[3]}We train two DNNs which learn the real and imaginary parts of the MIMO fading channels over a wide range of Doppler rates.

^{[4]}To fully capture the spatial correlation effects, the MIMO fading channel matrix is modelled according to three types of Kronecker correlation structure, i.

^{[5]}We demonstrate that the linear threshold-based detection methods, which were designed for AWGN channels, are suboptimal in the context of MIMO fading channels.

^{[6]}

## mimo fading channel

We derive the space–time correlation functions for the scattering environments in terms of the different system parameters of the MIMO fading channel.^{[1]}However, due to the complexity of modeling and solving the optimization problems over mmWave m-MIMO fading channels in the non-asymptotic error-control regime, it is challenging to derive an optimal resource allocation policy for maximizing $\epsilon$ -effective capacity to guarantee statistical delay/error-rate bounded QoS.

^{[2]}Our simulation results show that the proposed NOMA-PSM scheme is capable of achieving considerable performance gains over conventional orthogonal multiple access aid PSM and antenna-grouping-based PSM in wireless MIMO fading channels.

^{[3]}We train two DNNs which learn the real and imaginary parts of the MIMO fading channels over a wide range of Doppler rates.

^{[4]}To fully capture the spatial correlation effects, the MIMO fading channel matrix is modelled according to three types of Kronecker correlation structure, i.

^{[5]}We demonstrate that the linear threshold-based detection methods, which were designed for AWGN channels, are suboptimal in the context of MIMO fading channels.

^{[6]}