A Practical Dynamic Clustering Scheme Using Spectral Clustering in Ultra Dense Network

被引:0
|
作者
Liang, Yanxia [1 ]
Liu, Xin [2 ,3 ]
Jiang, Jing [1 ]
Du, Jianbo [1 ]
Sun, Changyin [1 ]
Xie, Yongbin [1 ]
机构
[1] Xian Univ Posts & Telecommun Name Org, Shaanxi Key Lab Informat Commun Network & Secur, Xian, Peoples R China
[2] Sch Informat Engn, Xian, Peoples R China
[3] Xian Eurasia Univ, Xian, Peoples R China
基金
中国国家自然科学基金;
关键词
Ultra Dense Network; CoMP; spectral clustering; Virtual cell; system throughput; spectrum efficiency; SYSTEMS;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Coordinated Multiple-Point (CoMP) technology is one of the most important technologies in ultra-dense networks (UDN). Effective CoMP clustering algorithm can provide additional gain for system performance, such as higher system throughput and spectral efficiency (SE) for cell-edge users. This paper, a novel dynamic clustering scheme based on spectral clustering in graph theory for CoMP-user is presented to maximize system SE and cell-edge users' throughput. Our proposed scheme mainly consists of weight design, graph construction and spectral clustering that can achieve good performance and low complexity. Simulation results show that the proposed algorithm yields significant gains of SE and throughput and low running time compared with some existing clustering schemes.
引用
收藏
页码:128 / 133
页数:6
相关论文
共 50 条
  • [1] Interference Management Scheme of Ultra Dense Network Based on Clustering
    Yao, Wen
    Li, Jinru
    Tan, Bowen
    Hao, Shuliang
    PROCEEDINGS OF 2017 IEEE 2ND INFORMATION TECHNOLOGY, NETWORKING, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (ITNEC), 2017, : 374 - 377
  • [2] A Dynamic Clustering Algorithm Based on NIR for Interference Alignment in Ultra Dense Network
    Liu, Lian
    Wang, Chaowei
    Wang, Weidong
    Qin, Cai
    Zhang, Yinghai
    2017 17TH IEEE INTERNATIONAL CONFERENCE ON COMMUNICATION TECHNOLOGY (ICCT 2017), 2017, : 1007 - 1011
  • [3] Performance Analysis of Dynamic Re-Clustering and Resource Allocation in Ultra Dense Network
    Bai, Wenle
    Li, Yaomin
    Yao, Tong
    Zhang, Haijun
    IEEE ACCESS, 2018, 6 : 60891 - 60899
  • [4] Location‐based resource allocation in ultra‐dense network with clustering†
    Kim, Seong Jung
    Kim, Jeong Gon
    Sensors, 2021, 21 (12):
  • [5] Clustering Algorithm Combined with Discriminant Function in Ultra Dense Network
    Kang, Ling
    Wang, Yi
    Hu, Yanjun
    Jiang, Fang
    Li, Liping
    Beijing Youdian Daxue Xuebao/Journal of Beijing University of Posts and Telecommunications, 2022, 45 (02): : 104 - 109
  • [6] An Improved Clustering and Resource Allocation Scheme for Ultra-Dense Networks
    Xu Y.-P.
    Jia W.-J.
    Li X.-J.
    Zhang C.-S.
    Tian X.-J.
    Beijing Youdian Daxue Xuebao/Journal of Beijing University of Posts and Telecommunications, 2019, 42 (02): : 77 - 82
  • [7] Clustering Priority-Based User-Centric Interference Mitigation Scheme in the Ultra Dense Network
    Wu, Guomin
    Tan, Guoping
    Feng, Fei
    Wang, Yannan
    Xun, Hanfu
    Wang, Qi
    Jiang, Defu
    2ND INTERNATIONAL CONFERENCE ON 5G FOR UBIQUITOUS CONNECTIVITY, 5GU 2018, 2020, : 81 - 95
  • [8] Ultra-Scalable Spectral Clustering and Ensemble Clustering
    Huang, Dong
    Wang, Chang-Dong
    Wu, Jian-Sheng
    Lai, Jian-Huang
    Kwoh, Chee-Keong
    IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2020, 32 (06) : 1212 - 1226
  • [9] Interference management in dense inband D2D network using spectral clustering & dynamic resource allocation
    Kasi, Shahrukh Khan
    Naqvi, Ijaz Haider
    Kasi, Mumraiz Khan
    Yaseen, Faisal
    WIRELESS NETWORKS, 2019, 25 (07) : 4431 - 4441
  • [10] Interference management in dense inband D2D network using spectral clustering & dynamic resource allocation
    Shahrukh Khan Kasi
    Ijaz Haider Naqvi
    Mumraiz Khan Kasi
    Faisal Yaseen
    Wireless Networks, 2019, 25 : 4431 - 4441