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

被引：0

作者：

Zeng, Jie ^{[1
]}

Zhang, Qi ^{[1
]}

Su, Xin ^{[1
]}

Rong, Liping ^{[1
]}

机构：

[1] Tsinghua Univ, Tsinghua Natl Lab Informat Sci & Technol, Res Inst Informat Technol, Beijing, Peoples R China

来源：

WIRELESS INTERNET (WICON 2016) | 2018年 / 214卷

关键词：

Ultra-Dense Network; Uplink capacity; Dynamic clustering algorithm;

D O I：

10.1007/978-3-319-72998-5_23

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The Ultra-Dense Network (UDN) system is considered as a promising technology in the future wireless communication. Different from the existing heterogeneous network, UDN has a smaller cell radius and a new network structure. The core concept of UDN is to deploy the Low Power Base Stations (LPBSs). With denser cells, the interference scenario is even severer in UDN than Long Term Evolution (LTE) heterogeneous network. Clustering cooperation should reduce interference among the cells. In this paper, we firstly derive the total uplink capacity of the whole system. Then we present a novel dynamic clustering algorithm. The objective of this algorithm for densely deployed small cell network is to make a better tradeoff between the system performance and complexity, while overcome the inter-Mobile Station (MS) interference. Simulation results show that our approach yields significant capacity gains when compared with some proposed clustering algorithms.

引用

页码：218 / 227

页数：10