ID 原文 译文
58388 讨论了蜂窝物联网( C-IoT) 技术的现状，针对增强机器类通信和窄带物联网技术标准，提出了 2 种现网快速部署方案，并进一步指出了 C-IoT 面向第 5 代移动通信系统( 5G) 的演进路径，包括网络功能虚拟化、软件定义网络、移动边缘计算和大数据分析等关键技术以及面临的安全风险. The technical status of cellular Internet of Things ( C-IoT) was discussed. Two C-IoT deployment schemes were proposed in terms of enhanced machine-type communication and narrowband IoT technical standards，which can be readily deployed in the current commercial networks. And an evolutionaryroadmap to the fifth generation of mobile communications system ( 5G) for C-IoT was further proposed. The roadmap fully took into account the key enabling technologies，such as the network function virtualization，the software defined network，the mobile edge computing and the big data analytics，as well assecurity risks introduced by 5G.
58389 对关键技术以及解决方案进行了详细分析，结果表明，5G C-IoT 可有效扩展 C-IoT 业务能力. The technology challenges and potential solutions were analyzed in detail，and it was shown that 5G C-IoT can significantly enhance C-IoT’s service capability.
58390 提出了多接入边缘计算( MEC) 在接入侧和核心网中的联合部署架构. A novel architecture of cooperated deployment for multi-access edge computing ( MEC) wasproposed to integrate the radio access networks and core networks.
58391 利用容器和微服务模式设计 MEC 的敏捷部署方案，通过修改基站的数据面协议栈，完成 MEC 流量高效地分辨和调度，并基于智能域名解析，实现接入网、核心网中 MEC 业务的智能联合调度. It makes full use of container technology and micro-service to implement the agile deployment scheme. MEC traffic flow is recognized and forwarded efficiently with a modified the protocol stack of data plane in base stations. Moreover，the intelligent domain name system was introduced to handle cooperated task allocation of MEC among multiple network elements.
58392 实验测试结果表明，该架构能够根据业务特性合理地分配分布式的 MEC处理节点，降低了完成任务的时延，提升了可扩展性. According to the results of practical experiments，the proposed architecture may allocateappropriate MEC processing nodes to specific tasks in line with their characteristics to reduce the delayand enhance the scalability.
58393 相较于独立部署架构和传统的业务分配方式，本架构在第 5代移动通信系统( 5G) 的网络低时延场景下具有更好的性能. It provides better performance for low-latency scenarios in the fifth generationof mobile communications system( 5G) compared with standalone deployment and traditional task allocation approaches.
58394 鉴于信道模型本身的复杂性和其在技术评估中的标尺作用，面向第 5 代移动通信系统( 5G) 评估的需求，对比国际电信联盟无线部( ITU) 第 4 代移动通信系统评估信道模型标准，重点阐述了 5G 信道模型标准的主要特点和仿真方法，如场景参数配置、仿真流程、先进信道特性等，可帮助读者深入了解 ITU 5G 信道模型标准的原理，促 进 5G 的仿真评估和后续研发. Wireless channel model，as the baseline in the technology evaluation，is very complex. Tosupport the demand of the fifth generation of mobile communications system ( 5G) technology evaluation，the main characteristics and simulation method of the 5G channel model in the standard are introduced，comparing with the the fourth generation of mobile communications system channel model delivered by theInternational Telecommunication Union ( ITU) ，including scenario configuration，simulation procedure，and advanced channel components，etc. Hence，a detailed understanding of ITU 5G channel model hasbeen made for the readers，in order to improve the further simulation and evaluation of 5G technology，aswell as subsequent research and development.
58395 分析了第 5 代移动通信系统( 5G) 中超可靠低时延通信( UＲLLC) 业务与增强移动带宽( eMBB) 业务共存时，资源预留分配策略对 UＲLLC 业务的时延保障程度以及对 eMBB 业务服务质量的影响程度. The delay guarantee of ultra-reliable and low-latency communication ( UＲLLC) traffic underresource reservation policy was analyzed when both UＲLLC traffic and enhanced mobile broadband ( eMBB) traffic co-exist in the fifth generation of mobile communications system ( 5G) system. The impact oneMBB traffic’s quality of service was also analyzed.
58396 基于随机网络演算分析理论，推导了满足 UＲLLC 业务概率时延约束要求的前提下所需的资源预留比例，即满足 UＲLLC 业务时延要求的最小门限值. Based on the stochastic network calculus theory，theneeded resource reservation ratio for UＲLLC traffic with probabilistic delay constraint requirement was investigated. Specifically，a minimum threshold，meeting this delay requirement for UＲLLC traffic，wasderived.
58397 此外，分析了 eMBB 业务的时延性能.研究结果表明，在系统总资源固定的情况下，为 UＲLLC 业务预留一定比例的资源后，eMBB 业务的时延分布会受到一定程度的影响，其时延分布的恶化程度与资源预留比例密切相关. In addition，the delay performance of eMBB traffic was also analyzed. The results showed that，when the system resource was fixed，the delay distribution of eMBB traffic would be influenced by the amount of resource reserved for UＲLLC traffic，and the deteriorate level greatly depended on the reservation ratio.