超高密度无线网络的自组织技术

李建东; 滕伟; 盛敏; 徐超

doi:10.11959/j.issn.1000-436x.2016131

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超高密度无线网络的自组织技术

专题：下一代移动通信及网络的关键技术 | 更新时间：2024-06-05

- 超高密度无线网络的自组织技术
- Self-organizing techniques in ultra-dense wireless network
- 通信学报 2016年37卷第7期页码：30-37
- 作者机构：
  
  西安电子科技大学ISN国家重点实验室，陕西西安 710071
- 作者简介：
  
  [ "李建东（1962-），男，江苏阜宁人，博士，西安电子科技大学教授、博士生导师，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）、认知无线网络、大规模自组织网络、软件无线电以及无线网络的干扰管理等。" ]
  [ "滕伟（1993-），男，湖北江陵人，西安电子科技大学博士生，主要研究方向为异构无线网络中的自组织技术、机器学习和大数据在超密无线网络中的应用等。" ]
  [ "盛敏（1975-），女，湖南长沙人，博士，西安电子科技大学教授、博士生导师，主要研究方向为5G移动通信系统、异构网络融合以及无线网络自组织理论与方法等。" ]
  [ "徐超（1987-），男，陕西西安人，博士，西安电子科技大学博士后，主要研究方向为无线网络分布式资源管理、博弈理论以及分布式学习理论等。" ]
- 基金信息：
  
  国家自然科学基金资助项目(61231008);高等学校引智计划基金资助项目(B08038);国家科技重大专项基金资助项目(2015ZX03004004);中国博士后科学基金资助项目(2015M582614);西安电子科技大学基本科研业务费基金资助项目(XJS15048;JB160107)
- DOI：10.11959/j.issn.1000-436x.2016131
  中图分类号： TN929.5
- 网络出版日期：2016-07，
  
  纸质出版日期：2016-07-25
- 稿件说明：
移动端阅览
李建东, 滕伟, 盛敏, 等. 超高密度无线网络的自组织技术[J]. 通信学报, 2016,37(7):30-37.

Jian-dong LI, Wei TENG, Min SHENG, et al. Self-organizing techniques in ultra-dense wireless network[J]. Journal of communications, 2016, 37(7): 30-37.
李建东, 滕伟, 盛敏, 等. 超高密度无线网络的自组织技术[J]. 通信学报, 2016,37(7):30-37. DOI： 10.11959/j.issn.1000-436x.2016131.

Jian-dong LI, Wei TENG, Min SHENG, et al. Self-organizing techniques in ultra-dense wireless network[J]. Journal of communications, 2016, 37(7): 30-37. DOI： 10.11959/j.issn.1000-436x.2016131.

摘要

网络密集化是应对未来5G无线网络容量提升1 000倍挑战的主要手段之一，且超高密度网络中单节点要配置和优化的参数超过2 000个，因此，只有通过新一代自组织技术来感知网络运行的态势，自主发现和调配网络资源来精准匹配网络中的业务流，才能有效提高网络的承载能力。分析了超高密度网络自组织技术面临的挑战和呈现的新属性，给出了超高密度网络中自组织技术的2个典型用例，展望了超高密度无线网络中自组织技术的发展前景和方向。

Abstract

Network densification was one of the main ways to deal with the challenge of supporting 1 000 times higher capacity in 5G networks. Wherein

a single node needs to configure and optimize more than 2 000 parameters. Therefore

novel self-organizing network (SON) would be the inevitable technique for wireless networking

where decision makers were enabled with the ability of perceiving the dynamic network situation and meanwhile

autonomously discovering as well as configuring network resources. With the aid of this promising technique

users' demands and network resources could be well matched and furthermore

the capacity of networks could be significantly improved. The trend of dense development in wireless communications was discussed. Then

the potential challenges and required new properties was analyzed when util-izing SON in ultra-dense wireless networks. Meanwhile

two typical use cases were depicted. Finally

for future ultra-densely deployed wireless networks

the possible development prospect and direction of SON were briefly presented.

关键词

Keywords

references

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