The study and exploration of Multiple-Input Multiple-Output (MIMO) wireless access technology has been spurred by the global bandwidth shortage in the wireless communication sector (MIMO). Massive MIMO is a critical enabling technology for Quantum Communication Networks, as it combines antennas at both the transmitter and receiver to give high spectrum and energy efficiency while requiring minimal computation. The effective deployment of in Quantum Communication Networks to realise diverse applications of the intelligent sensing system requires a better understanding of MIMO system to solve the fundamental difficulties of this technology. This paper first introduces the advanced constrained simplex method (advanced complex method), then shows that when used to find the maximum of a general nonlinear function of several variables within a constrained region in wireless communication systems, especially for multiple-input multiple-out (MIMO) systems, this complex procedure has no issues (MIMO Configuration). By using simulations, the advanced constrained simplex approach is proven to be efficient when compared to the complex and simplex methods in resolving the problem of multiple-input multiple-out. In Quantum Communication networks, this wireless network design can be applied to MIMO systems. The property of technology that allows the system presented in this paper to find an optimal solution with a minimal number of searches, as opposed to a typical system in a MIMO environment that requires numerous ideal values. This system was employed in the context of a quantum network in this paper. This can achieve a more compact environment than a traditional Quantum network.
Author(S) Details
Tomonobu Sato
Staff Support Group of Hitachi ICT Business Services Ltd., Tokyo, Japan.
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