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Radio optical network based optimization in quantum computing for 5G wireless communication model

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Abstract

Radio access networks (RANs) provide for more user coverage, greater data speeds, and enhanced end-to-end performance with reduced latency, power consumption, and cost. Supporting high-performance applications in the 5G sector that need widespread user coverage and real-time cloud computing is possible with a cloud radio access network (C-RAN). The rise in mobile internet users has rendered resource optimisation and scheduling impractical in traditional designs, making it unable to guarantee a good level of service. This study presented a novel method for optimising the routing and traffic in radio optical networks, based on the architecture of 5G communications. Experimental results have been gathered for a wide range of network properties, including spectral efficiency, latency, quality of service, resource utilisation, and network cost. In this case, the proposed method achieved a Network cost of 48%, current MDRI 45%, and SDN 46%; for the number of modulations, a Network cost of 55%, existing MDRI 51%, and SDN 53%; and for the number of samples, the suggested method achieved a Network cost of 59%, existing MDRI 52%, and SDN 55%.

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Authors and Affiliations

  1. Department of Information Engineering, (School of software), Henan University of Animal Husbandry and Economy, Zhengzhou, 450053, China

    Tantong Zhang

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  1. Tantong Zhang
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TZ: Study conception and design, data collection, analysis and interpretation of results, draft manuscript preparation.

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Correspondence to Tantong Zhang.

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Zhang, T. Radio optical network based optimization in quantum computing for 5G wireless communication model. Opt Quant Electron 55, 1019 (2023). https://doi.org/10.1007/s11082-023-05316-4

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