Machine learning and quantum computing for 5G/6G communication networks - A survey

Suriya M
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引用次数: 0

Abstract

Recently fifth generation (5G) and beyond applications are evolving, which demands more computational and complex data processing. Quantum computing and quantum learning algorithms are incorporated to enhance processing capabilities and data computation compared to conventional machine learning approaches. This study presents the significance of quantum computing and quantum machine learning models and their research challenges concerning 5G and beyond applications. The researchers focus on global coverage, enhanced spectrum support, increased energy and cost efficiency, high security, and dynamic intelligence, along with big data processing that demands complex data structures and algorithms.

5G/6G通信网络的机器学习和量子计算-调查
最近,第五代(5G)及以后的应用正在发展,这需要更多的计算和复杂的数据处理。与传统的机器学习方法相比,量子计算和量子学习算法相结合,增强了处理能力和数据计算能力。本研究介绍了量子计算和量子机器学习模型的意义,以及它们在5G及以后应用方面的研究挑战。研究人员专注于全球覆盖、增强频谱支持、提高能源和成本效率、高安全性和动态智能,以及需要复杂数据结构和算法的大数据处理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
12.00
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