An Improved Dynamic Clustering Algorithm Based on Uplink Capacity Analysis in Ultra-Dense Network System

2017 ◽  
pp. 218-227
Author(s):  
Jie Zeng ◽  
Qi Zhang ◽  
Xin Su ◽  
Liping Rong
Keyword(s):  
Clustering Algorithm ◽  
Capacity Analysis ◽  
Network System ◽  
Dynamic Clustering ◽  
Dense Network ◽  
Uplink Capacity ◽  
Ultra Dense Network

scholarly journals A novel benefit-tree based dynamic clustering algorithm of comp in dense network

Filomat ◽  
2018 ◽  
Vol 32 (5) ◽  
pp. 1965-1972
Author(s):  
Gang Su ◽  
Lu Feng ◽  
Li Tan ◽  
Yunlong Liang
Keyword(s):  
Energy Efficient ◽  
Cellular Network ◽  
Clustering Algorithm ◽  
Base Stations ◽  
Frame Structure ◽  
Dynamic Clustering ◽  
Dense Network ◽  
Performance Simulation ◽  
Coordinated Multipoint ◽  
Save Energy

We focus here on the Energy Efficiency (EE), and propose an improved dynamic clustering algorithm that is incorporated into Coordinated MultiPoint (CoMP) with sleeping mode. Thanks to the frame structure of Benefit-tree employed in dynamic clustering of CoMP, the proposed algorithm can significantly improve the EE by choosing the most energy efficient competitive clustering strategy. At the same time, it can save energy by sleeping the underutilized base stations in the cellular network. In the performance simulation for EE, the proposed algorithm provides 10% higher in EE than the existing algorithm.

scholarly journals An Efficiency-Improved Clustering Algorithm Based on KNN Under Ultra-Dense Network

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 43796-43805 ◽  
Author(s):  
Yanxia Liang ◽  
Changyin Sun ◽  
Jing Jiang ◽  
Xin Liu ◽  
Hua He ◽  
...  
Keyword(s):  
Clustering Algorithm ◽  
Dense Network ◽  
Ultra Dense Network

A Multi-Attribute Handover Algorithm for QoS Enhancement in Ultra Dense Network

2021 ◽  
pp. 1-1
Author(s):  
Kai Sun ◽  
Jiarun Yu ◽  
Wei Huang ◽  
Haijun Zhang ◽  
Victor C.M. Leung
Keyword(s):  
Dense Network ◽  
Ultra Dense Network ◽  
Handover Algorithm
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