Self-organization networking technology for 5G ultra-dense wireless network

Jiandong LI; Min SHENG; Junyu LIU; Chenxi ZHAO; Yan ZHANG; Hongguang SUN

doi:10.11959/j.issn.2096-3750.2018.00038

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Self-organization networking technology for 5G ultra-dense wireless network

Theory and Technology | 更新时间：2024-06-05

- Self-organization networking technology for 5G ultra-dense wireless network
- Chinese Journal on Internet of Things Vol. 2, Issue 1, Pages: 24-34(2018)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.2096-3750.2018.00038
  CLC： TP393
- Published：30 March 2018，
  
  Published Online：2018-03，
- 稿件说明：
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JIANDONG LI, MIN SHENG, JUNYU LIU, et al. Self-organization networking technology for 5G ultra-dense wireless network. [J]. Chinese journal on internet of things, 2018, 2(1): 24-34.
DOI：

JIANDONG LI, MIN SHENG, JUNYU LIU, et al. Self-organization networking technology for 5G ultra-dense wireless network. [J]. Chinese journal on internet of things, 2018, 2(1): 24-34. DOI： 10.11959/j.issn.2096-3750.2018.00038.

摘要

极大增加无线网络密度，有效提升无线网络容量是5G等未来移动无线网络的核心挑战之一。构建了适用于超密集无线网络的信道模型，并通过干扰统计特性分析，揭示了超密集组网技术提升网络容量的理论极限。为逼近该极限，提出面向超密集无线网络的自组织技术，并探究自组织技术在超密环境中的新属性，最后设计并实现了基于自组织技术的小区融合分裂方法。实验测试结果表明，该方法能够有效提高网络容量和用户体验。

Abstract

Enhancing network capacity by increasing the density of the fifth-generation wireless networks has become one of the key challenges for the future mobile systems.A practical channel model for ultra-dense network (UDN) was built

and the limitation of network densification by analyzing the interference distribution was revealed.To approach the limit

UDN-oriented self-organization networking (SON) technology was proposed and its new feature in UDN was investigated.Finally

a SON based cell merging and splitting strategy was tailored.Experiment results indicate that the proposed strategy is capable for improving network capacity and user experience significantly.

关键词

超密集无线网络自组织网络技术网络容量

Keywords

ultra-dense wireless networkself-organization networking technologynetwork capacity

references

IMT-2020(5G) Promotion Group. 5G vision and requirements[R]. 2015.

LIU J, SHENG M, LIU L ,et al. Network densification in 5G:from the short-range communications perspective[J]. IEEE Communications Magazine, 2016,55(12): 96-102.

ZHANG H, DONG Y, CHENG J ,et al. Front hauling for 5G LTE-U ultra dense cloud small cell networks[J]. IEEE Wireless Communications, 2016,23(6): 48-53.

TECHNOLOGIES Q . Enabling hyper-dense small cell deployments with UltraSON[R]. 2014.

DING M,LOPEZ-PEREZ D, MAO G . Will the area spectral efficiency monotonically grow as small cells go dense?[C]// IEEE Globe Communications Conference. 2015 1-7.

ZHANG X, ANDREWS J . Downlink cellular network analysis with multi-slope path loss models[J]. IEEE Transactions on Communications, 2015,63(5): 1881-1894.

GUPTA K, ZHANG X, ANDREWS J . SINR and throughput scaling in ultra dense urban cellular networks[J]. IEEE Wireless Communications Letter, 2015,4(6): 605-608.

DING M, WANG P LOPEZ-PEREZ D ,et al. Performance impact of LoS and NLoS transmissions in dense cellular networks[J]. IEEE Transactions on Wireless Communications, 2016,15(3): 2365-2380.

ZHANG X, ANDREWS J . Downlink cellular network analysis with a dual-slope path loss model[C]// IEEE International Conference on Communications. 2015 3975-3980.

PREHOFER C, BETTSTETTER C . Self-organization in communication networks:principles and design paradigms[J]. IEEE Communications Magazine, 2005,43(7): 78-85.

李莉, 彭木根, 王文博 . 下一代宽带移动通信系统中的网络自组织技术[J]. 电信技术, 2010,1(5): 71-73.

LI L, PENG M G, WANG W B . Network self organization technology in the next generation broadband mobile communication system[J]. Telecommunication Technology, 2010,1(5): 71-73.

杨英 . LTE 网络自优化方法研究[D]. 合肥:中国科学技术大学, 2014.

YANG Y . Research on the self optimization method of LTE network[D]. Hefei:University of Science and Technology of China, 2014.

LIU J, SHENG M, LIU L ,et al. Interference management in ultradense networks:challenges and approaches[J]. IEEE Network, 2017,31(6): 70-77.

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