Abstract

The global bandwidth shortage in the wireless communication sector has motivated the study and exploration of wireless access technology known as Multiple-Input Multiple-Output (MIMO). Massive MIMO is one of the key enabling technology for Quantum Communication Networks, which groups together antennas at both transmitter and the receiver to provide high spectral and energy efficiency using relatively simple processing. Obtaining a better understating of MIMO system to overcome the fundamental issues of this technology is vital for the successful deployment of in Quantum Communication Networks to realize various applications of the intelligent sensing system. This paper first introduces the advanced constrained simplex method (advanced complex method), then demonstrates that this complex procedure has no issues when used to find the maximum of a general nonlinear function of several variables within a constrained region in wireless communication systems, particularly for multiple-input multiple-out (MIMO) systems (MIMO Configuration). Next advanced constrained simplex method is described how to resolve the problem of the multiple-input multiple-out, and shown how to be efficient compared with the complex method and the simplex method by some simulations. And this wireless network design can be used to MIMO systems in Quantum Communication networks. The property of technology by which the system described in this study can obtain an optimal solution with a small number of searches, as opposed to a conventional system in a MIMO environment with several optimal values, and is located. This paper used this system in the context of a quantum network. This can achieve more compact than the conventional Quantum network environment.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.