浏览全部资源
扫码关注微信
[ "李建东(1962-),男,博士,西安电子科技大学教授,主要研究方向为宽带无线通信(未来移动通信和未来无线局域网)、空间信息网络、智能无线网络、大规模自组织网、软件无线电和无线网络的干扰管理。" ]
[ "盛敏(1975-),女,博士,西安电子科技大学教授,主要研究方向为移动通信系统、移动自组织网络、认知无线电网络和异构网络融合。" ]
[ "刘俊宇(1989-),男,博士,西安电子科技大学讲师,主要研究方向为超密集异构组网技术、无线网络容量研究和室内定位技术。" ]
[ "赵晨曦(1994-),男,西安电子科技大学博士生,主要研究方向为超密集网络和移动互联网。" ]
[ "张琰(1983-),男,博士,西安电子科技大学副教授,主要研究方向为异构融合网络和无线自组织网络技术。" ]
[ "孙红光(1985-),男,博士,西安电子科技大学讲师,主要研究方向为动态时分双工技术、5G 网络架构和超密集组网技术、新型数据中心网络虚拟化技术和自组织网络的弹性技术。" ]
纸质出版日期:2018-03-30,
网络出版日期:2018-03,
移动端阅览
李建东, 盛敏, 刘俊宇, 等. 5G超密集无线网络自组织技术[J]. 物联网学报, 2018,2(1):24-34.
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.
李建东, 盛敏, 刘俊宇, 等. 5G超密集无线网络自组织技术[J]. 物联网学报, 2018,2(1):24-34. DOI: 10.11959/j.issn.2096-3750.2018.00038.
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.
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。
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.
超密集无线网络自组织网络技术网络容量
ultra-dense wireless networkself-organization networking technologynetwork capacity
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.
0
浏览量
2354
下载量
0
CSCD
关联资源
相关文章
相关作者
相关机构