Future 5G networks aspire to enable new services with vastly different data rate, latency and scalability requirements. The consensus is that these new services will fall into three categories: eMBB, URLLC, and mMTC. Due to unique characteristics of these services and the limited availability of finite spectrum resources, 5G will need to carefully map appropriate bands and spectrum usage models for each service. The SAS is an emerging spectrum sharing model that is gaining momentum in the U.S. SAS presents an opportunity for operators to access the 3.5 GHz military radar band for commercial use. This article discusses the feasibility of the current SAS model in the context of mMTC. We propose a scalable SAS framework that can manage the mMTC uplink interference to the incumbent with less overhead. The simulation setup models the interference levels in New York City and its surrounding counties. The results show that mMTC uplink transmission can be enabled using our framework even on the coast of New York, where mMTC density is high, without causing a harmful level of interference to the incumbent.

中文翻译：

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用于大规模机器类型通信的可扩展频谱访问系统

未来的5G网络渴望实现对数据速率，延迟和可扩展性要求迥然不同的新服务。共识是这些新服务将分为三类：eMBB，URLLC和mMTC。由于这些服务的独特特性以及有限频谱资源的有限可用性，5G将需要仔细地为每种服务映射适当的频段和频谱使用模型。SAS是一种新兴的频谱共享模型，在美国日益流行。SAS为运营商提供了一个机会，可将3.5 GHz军用雷达频段用于商业用途。本文讨论了在mMTC环境下使用当前SAS模型的可行性。我们提出了一种可扩展的SAS框架，该框架可以以较少的开销管理对运营商的mMTC上行链路干扰。模拟设置对纽约市及其周围县的干扰水平进行建模。结果表明，即使在mMTC密度较高的纽约海岸，也可以使用我们的框架启用mMTC上行传输，而不会对现有运营商造成有害的干扰。