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5G NB-IoT: Efficient network call admission control in cellular networks
Concurrency and Computation: Practice and Experience ( IF 2 ) Pub Date : 2020-10-22 , DOI: 10.1002/cpe.6047
Ahmed Slalmi 1 , Hasna Chaibi 2 , Rachid Saadane 2 , Abdellah Chehri 3 , Gwanggil Jeon 4
Affiliation  

The International Telecommunications Union defines in its IMT-2020 recommendations three types of use of 5G services: mMTC (massive Machine-type Communications), eMBB (enhanced Mobile Broadband), and uRLLC (ultra-Reliable Low Latency Communications). The mMTC service allows a considerable number of machines and devices to communicate while guaranteeing a good quality of service. The eMBB service allows very high data throughput, even at the cell border. The uRLLC service is used for ultra-reliable communication for critical needs requiring very low latency. These services are provided separately in a given cell. However, the number of connected objects is starting to increase rapidly as well as the bit rates and energy consumption. The 5G network must make it possible to provide access to a vast number of users of its different service categories. Call admission control (CAC) techniques focus more on availability in terms of bit rate and coverage. In this article, we suggest an algorithm for modeling CAC in an area served by the three categories of services in a 5G access network, mainly based on minimum energy consumption. This technique will allow connected objects that consume low energy to connect to the network with an adequate quality of service and enable the development of the Internet of Things.

中文翻译:

5G NB-IoT:蜂窝网络中的高效网络呼叫准入控制

国际电信联盟在其 IMT-2020 建议中定义了 5G 服务的三种使用类型:mMTC(大规模机器类型通信)、eMBB(增强型移动宽带)和 uRLLC(超可靠低延迟通信)。mMTC 服务允许相当数量的机器和设备进行通信,同时保证良好的服务质量。eMBB 服务允许非常高的数据吞吐量,即使在小区边界也是如此。uRLLC 服务用于满足需要极低延迟的关键需求的超可靠通信。这些服务在给定的小区中单独提供。然而,连接对象的数量以及比特率和能耗开始迅速增加。5G 网络必须能够为其不同服务类别的大量用户提供访问权限。呼叫允许控制 (CAC) 技术更多地关注比特率和覆盖范围方面的可用性。在本文中,我们提出了一种算法,用于对 5G 接入网络中三类服务所服务的区域中的 CAC 进行建模,主要基于最低能耗。这项技术将允许消耗低能量的连接对象以足够的服务质量连接到网络,并促进物联网的发展。
更新日期:2020-10-22
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