Potential Enabling Technologies for 7G Networks: Survey

Savo Glisic
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Abstract

Every new generation of mobile networks brings significant advances in two segments, enhancement of the network parameters within the legacy technologies and introduction of new technologies enabling new paradigms in designing the networks. In the first class of enhancements the effort is to increase data rates, improve energy efficiency, enhance connectivity, reduce data transmission latency etc. In the second class of innovations for 6G and 7G, we anticipate focus on optimum integration of advanced ML and AI in general, and quantum computing with the continuous interest in the satellite networks for optimal quantum key distribution . By introducing quantum technology 7G will be able to speed up computing processes in the net, enhance network security as well as to enable distributed QC, which is a new paradigm in computer sciences. Using advanced networks as a basic ingredient of inter system integration, here we focus only on the second segment of anticipated innovations in networking and present a survey of the subset of potential technology enablers for the above concept with special emphasis on the inter dependency of the solutions chosen in different segments of the network. In Section II, we present several anticipated 6G/7G (system of systems type) network optimization examples resulting in a new paradigm of network optimization indicating a need for quantum computing and quantum computing based optimization algorithms. In Section III we survey work on quantum cryptography and QKD.
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7G 网络的潜在使能技术:调查
每一代移动网络都会在两个方面取得重大进展,一是改进传统技术中的网络参数,二是引入新技术,从而在设计网络时采用新的模式。在第一类改进中,努力的方向是提高数据传输速率、提高能效、增强连接性、减少数据传输延迟等。在 6G 和 7G 的第二类创新中,我们预计将重点关注高级 ML 和人工智能的优化整合,以及量子计算与卫星网络对最佳量子密钥分配的持续关注。通过引入量子技术,7G 将能够加快网络中的计算过程,增强网络安全性,并实现分布式 QC,这是计算机科学的一种新模式。先进的网络是系统间集成的基本要素,在此,我们仅关注网络中预期创新的第二部分,并对上述概念的潜在技术推动者子集进行了调查,特别强调了网络不同部分所选解决方案的相互依赖关系。在第二部分中,我们介绍了几个预期的 6G/7G(系统的系统类型)网络优化示例,这些示例产生了一种新的网络优化范式,表明需要量子计算和基于量子计算的优化算法。在第三部分,我们将对量子密码学和 QKD 方面的工作进行调查。
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