Dynamic Clustering of Coordinated Multi-point Transmission Based on Friends Algorithm

被引:0
作者
HENG Wei [1 ]
LIANG Tian [1 ]
MENG Chao [1 ]
LI Shihuan [1 ]
LU Xiaowen [1 ]
机构
[1] National Mobile Communications Research Laboratory, Southeast University
基金
中国国家自然科学基金;
关键词
Coordinated multi-point(Co MP); Static clustering; Dynamic clustering; Friends algorithm;
D O I
暂无
中图分类号
TN929.5 [移动通信];
学科分类号
080402 ; 080904 ; 0810 ; 081001 ;
摘要
Coordinated multi-point(Co MP) transmission has been regarded as a fascinating technology for4 G wireless communication systems. In this paper, the Co MP dynamic clustering problem is studied, a Friends algorithm(F-A) is proposed based on the procedure of making friends in human society, and then a dynamic clustering scheme is proposed based on F-A. The mutual interference among cells of the network is considerate in this algorithm, which can be obtained by CSI feedback.Compared to Traversal search(T-S) algorithm, the proposed algorithm has lower computational complexity, and the performance is almost equal. Simulation results show the proposed scheme is effective for dynamic clustering.
引用
收藏
页码:414 / 418
页数:5
相关论文
共 44 条
[31]   A novel dynamic clustering algorithm based on immune network and tabu search [J].
Zhong, J ;
Wu, ZF ;
Wu, KG ;
Yang, QA .
CHINESE JOURNAL OF ELECTRONICS, 2005, 14 (02) :285-288
[32]   Integration of Particle Swarm Optimization and Immune Genetic Algorithm-Based Dynamic Clustering for Customer Clustering [J].
Kuo, R. J. ;
Lin, S. H. ;
Chen, Zhen-Yao .
INTERNATIONAL JOURNAL ON ARTIFICIAL INTELLIGENCE TOOLS, 2015, 24 (05)
[33]   A Noble Target Tracking Algorithm Based on Dynamic Clustering for Wireless Sensor Network [J].
Zhang, Jian ;
Wu, Chengdong ;
Ji, Peng ;
Wang, Tianbao .
2011 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-6, 2011, :3761-3764
[34]   An Novel Dynamic Clustering Algorithm based on Geographical Location for Wireless Sensor Networks [J].
Zhang, Ming ;
Gong, Chenglong ;
Lu, Yanhong .
ISISE 2008: INTERNATIONAL SYMPOSIUM ON INFORMATION SCIENCE AND ENGINEERING, VOL 1, 2008, :565-+
[35]   User Clustering and Power Allocation Algorithm for UAV-NOMA Based on Multi-Density Stream Clustering [J].
Yang, Qingqing ;
Han, Zhuoting ;
Peng, Yi ;
Wu, Tong .
Hunan Daxue Xuebao/Journal of Hunan University Natural Sciences, 2024, 51 (06) :86-97
[36]   A Novel Benefit-Tree Based Dynamic clustering algorithm of CoMP in Dense Network [J].
Su, Gang ;
Feng, Lu ;
Tan, Li ;
Liang, Yunlong .
FILOMAT, 2018, 32 (05) :1965-1972
[37]   Energy efficient dynamic clustering algorithm based on geographical location for wireless sensor networks [J].
Wang, Pan .
Advances in Information Sciences and Service Sciences, 2012, 4 (21) :48-55
[38]   SVM Optimization Algorithm based on Dynamic Clustering and Ensemble Learning for Large Scale Dataset [J].
Shu, Shiyu ;
Ren, Lihong ;
Ding, Yongsheng ;
Hao, Kuangrong ;
Jiang, Rui .
2014 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC), 2014, :2278-2283
[39]   Dynamic clustering based contextual combinatorial multi-armed bandit for online recommendation [J].
Yan, Cairong ;
Han, Haixia ;
Zhang, Yanting ;
Zhu, Dandan ;
Wan, Yongquan .
KNOWLEDGE-BASED SYSTEMS, 2022, 257
[40]   A Radar Signal Sorting Algorithm Based on Improved k-means Dynamic Clustering and Sub Linear Time Algorithm [J].
Gao Li-peng ;
Shan Hui-yu ;
Ji Feng-you .
PROCEEDINGS FIRST INTERNATIONAL CONFERENCE ON ELECTRONICS INSTRUMENTATION & INFORMATION SYSTEMS (EIIS 2017), 2017, :942-946