## What is/are Mimo Model?

Mimo Model - Although some breakthroughs have been made in this area, the difficulty of applying these schemes to a practical CMIMO model can hardly be overcome.^{[1]}First, a nonlinear controller is presented using the dynamic inversion and CNF technique for the MIMO Model, and the robust stability of the proposed controller is proved.

^{[2]}In the MIMO model, informed nodes cooperate to produce a stronger superposed signal.

^{[3]}The reduction in BER is observed when MIMO models are used for transceiver design.

^{[4]}The challenges of MIMO model order reduction of the modern power grid increases with the inclusion of renewables such as inverter-interfaced wind farms, which introduces complexity in such power system models.

^{[5]}We establish a double-sparsity massive MIMO model by considering the channel sparsity of the massive MIMO channel and the signal sparsity of GSM.

^{[6]}Then, the MIMO models are combined together based on the interactions among the control systems of source and load converters.

^{[7]}Subspace identification is used for obtaining the data-driven MIMO model.

^{[8]}The convergence of the algorithm and the achievable sum-rate performance of the FD MU-MIMO model as compared to those of the HD MU-MIMO one will be investigated through numerical simulation results.

^{[9]}In order to meet the adaptive control of car headlights and improve the reliability and accuracy of vehicle lights during driving, the proposed predictive control algorithm under the MIMO model has established a multi-input multi-output system.

^{[10]}To this aim, a novel self-sensing approach to deliver real-time estimation of the stress is presented in this paper, involving some recent results of a thermodynamic compatible MIMO model of hysteresis for magnetostrictive materials.

^{[11]}The results show that the simulation values of the approximate method fit the theoretical calculation very well, thereby validating the feasibility of the proposed 3D large-scale massive MIMO model.

^{[12]}The numerical results in Rayleigh MIMO model show that the approximation formula well estimates the connection probability even for finite graphs and that it provides useful information for design of WSN immune to node faults.

^{[13]}Based on this equivalent MIMO model, the generalized signal-to-noise ratio and global mutual information of the forwarding schemes are calculated.

^{[14]}

## Massive Mimo Model

We establish a double-sparsity massive MIMO model by considering the channel sparsity of the massive MIMO channel and the signal sparsity of GSM.^{[1]}The results show that the simulation values of the approximate method fit the theoretical calculation very well, thereby validating the feasibility of the proposed 3D large-scale massive MIMO model.

^{[2]}