Title: Real-time separation optimisation algorithm for hybrid blind speech signal in vehicular communication networks in beyond 5G era

Authors: Guoan Hu

Addresses: Hunan Post and Telecommunication College, Changsha 410015, Hunan, China

Abstract: In this paper, we conduct the in-depth analysis on the real-time separation optimisation algorithm for the hybrid blind signal in wireless communication networks. In the process of the real-time separation of blind signals in network communication, firstly, the hybrid signal in the network communication is whitened to remove the core correlation between the blind signals. In this foundation determined in the network correspondence the mixed signal matrix of linear transformation, it uses transformation matrix to separate in the network correspondence in the blind signal independent signal component, from this restores the network correspondence area south of core signal. The data analytic framework is suggested to optimise the framework of the proposed tool. Then, the designed model is applied to the vehicular communication networks in beyond 5G era and the simulation gives the overall performance estimation to test the robustness.

Keywords: real-time separation; optimisation algorithm; blind signal; wireless communication; vehicular communication; 5G technology.

DOI: 10.1504/IJVICS.2024.139618

International Journal of Vehicle Information and Communication Systems, 2024 Vol.9 No.3, pp.227 - 238

Received: 09 Oct 2021
Accepted: 15 Dec 2021
Published online: 05 Jul 2024 *

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