此页面上的内容需要较新版本的 Adobe Flash Player。

获取 Adobe Flash Player

Centralization and collaboration in 5G ultra-dense network architecture


WEI Hong-jing1, GUO Bao1, ZHANG Yang2 


(1. China Mobile Group Shanxi Co., Ltd., Taiyuan 030032, China; 2. China Mobile Group Co., Ltd., Beijing 100033, China)


Abstract: An ultra-dense network scenario is a scene where a large number of people assemble in a limited area to generate centralized broadband data traffic requirements. Because ultra-dense networks generate enormous traffic pressure, traditional network capabilities are not enough to accommodate the user’s needs. Based on the description of ultra-dense network architecture, we analyze millimeter wave radio spectrum, high gain beam forming, physical layer frame structure, resource concentration and edge computing technology. In addition, the cooperative technology required by overlay and interference symbiosis in the dense network architecture as well as the access control technology of centralized access is analyzed and discussed comprehensively.

Key words: ultra-dense network architecture; millimeter wave; edge computing; multi-point collaboration


CLD number: TN915.02             doi: 10.3969/j.issn.1674-8042.2020.01.009


References


[1]Zhang J M, Xie W L, Yang F Y. Network architecture and implementation of 5G ultra dense network. Telecommunications Science, 2016, 32(6): 36-43.

[2]Liu Y M, Li X, Ji H. Key technologies of network self-organization for 5G ultra dense scenes. Telecommunications Science, 2016, 32(6): 44-51.

[3]Jiang J S, Jiang L P, Zhu X R. Modeling and analysis of mobile performance in hyper dense clustering networks based on Markov model. Information and Communication Technology, 2017, 11(1): 78-84.

[4]Li Y Z, Jiang T, Cao Y. 5G green, ultra dense wireless heterogeneous networks: concepts, technologies and challenges. Telecommunications Science, 2017, 33(6): 34-40.

[5]Cheng M. New technology of network planning for 5G ultra dense networks. Mobile Communications, 2016, 40(17): 28-29.

[6]Zhou X. Study on broadband spectrum fast sensing in ultra-dense networks. Mobile Communications, 2016, 40(8): 52-56.

[7]Ge L, Wang Z X. Energy optimal high efficiency dense network deployment of. Telecom Science, 2017, 33(3): 44-51.

[8]Zhan J, Yan Q F, Tang X H. 5G oriented cache assisted multi antenna relay strategy. Telecommunications Science, 2017, 33(6): 2-10.

[9]Fang Z, Li Y, Li H T. Study on beam forming of airspace in ultra-dense networks. Journal of University of Electronic Science and Technology of China, 2016, 45(2): 185-190.

[10]Lei Q Y, Zhang Z Z, CHENG F. C-RAN based 5G wireless access network architecture. Telecommunications Science, 2015, 31(1): 106-115.

[11]Wang J X, Tang S Y, Sun C Y. Distribution of network resources in super intensive residential district based on user clustering. Journal of Xi’an University of Posts and Telecommunications, 2016, 26(1): 16-20.

[12]Zhang J M, Xie W L, Yang F Y. Mobile edge computing technology and its local shunting scheme. Telecommunications Science, 2016, 32(7): 132-139.

[13]Bai L, Liu T T, Yang C Y. Interference coordination method and performance analysis in ultra-dense networks. Signal Processing, 2015, 31(10): 1263-1271.

[14]Chen G, Cai F E, Cheng L. Research on interference coordination technology based on service characteristics in ultra-dense networks. Telecommunication Engineering Technology and Standardization, 2016, 29(3): 75-78.

[15]Zhu X R, Zhu W R. Algorithm of cell clustering and power allocation based on interference coordination in ultra-dense small nest networks. Journal of Electronics and Information, 2016, 38(5): 1173-1178.


5G密集组网架构中的集中与协同 


卫鸿婧1, 郭  宝1, 张  阳2


(1. 中国移动通信集团山西有限公司, 山西 太原 030032; 2. 中国移动通信集团公司, 北京 100033)


摘  要:超密集网络场景指大量的人聚集在有限的区域形成集中的宽带数据业务需求的场景。 超密集网络会产生巨大的流量压力, 传统的网络能力远远不足以承载用户的需求。 本文在阐述超密集网络组网架构的基础上, 对毫米波无线频谱、 高增益的波束赋型、 物理层帧结构以及资源集中与边缘计算技术进行了分析, 并对在密集组网架构中必然产生的覆盖与干扰共生所要求的协作技术以及集中接入的接入控制技术进行了综合的分析探讨。

关键词: 超密集网络; 毫米波; 边缘计算; 多点协作


引用格式: WEI Hong-jing, GUO Bao, ZHANG Yang. Centralization and collaboration in 5G ultra-dense network architecture. Journal of Measurement Science and Instrumentation, 2020, 11(1): 70-77. [doi: 10.3969/j.issn.1674-8042.2020.01.009]


[full text view]