Mimo Model(哑剧模型)研究综述
Mimo Model 哑剧模型 - 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] Then, the MIMO models are combined together based on the interactions among the control systems of source and load converters. [5] 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. [6] 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. [7]尽管在这方面已经取得了一些突破，但很难克服将这些方案应用于实际 CMIMO 模型的困难。 [1] 首先，利用动态反演和CNF技术为MIMO模型提出了一种非线性控制器，并证明了该控制器的鲁棒稳定性。 [2] 在 MIMO 模型中，知情节点合作产生更强的叠加信号。 [3] 当 MIMO 模型用于收发器设计时，可以观察到 BER 的降低。 [4] 然后，基于源和负载转换器控制系统之间的相互作用，将 MIMO 模型组合在一起。 [5] 与 HD MU-MIMO 模型相比，FD MU-MIMO 模型的算法收敛性和可实现的和速率性能将通过数值模拟结果进行研究。 [6] 为了满足汽车前照灯的自适应控制，提高车灯在行驶过程中的可靠性和准确性，提出的MIMO模型下的预测控制算法建立了多输入多输出系统。 [7]
Massive Mimo Model 大型 Mimo 模型
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]考虑大规模MIMO信道的信道稀疏性和GSM的信号稀疏性，建立了双稀疏大规模MIMO模型。 [1] 结果表明，近似法的仿真值与理论计算吻合较好，从而验证了所提出的3D大尺度Massive MIMO模型的可行性。 [2]