Research Article
Time Detection Based Hybrid Clustering Strategy for JP-CoMP in LTE-A
@INPROCEEDINGS{10.1007/978-3-319-60717-7_36, author={Fengfei Song and Liqiang Zhao and Kai Liang and Cheng Guo}, title={Time Detection Based Hybrid Clustering Strategy for JP-CoMP in LTE-A}, proceedings={Quality, Reliability, Security and Robustness in Heterogeneous Networks. 12th International Conference, QShine 2016, Seoul, Korea, July 7--8, 2016, Proceedings}, proceedings_a={QSHINE}, year={2017}, month={8}, keywords={JP-CoMP Hybrid clustering Time detection ICI LTE-A}, doi={10.1007/978-3-319-60717-7_36} }- Fengfei Song
Liqiang Zhao
Kai Liang
Cheng Guo
Year: 2017
Time Detection Based Hybrid Clustering Strategy for JP-CoMP in LTE-A
QSHINE
Springer
DOI: 10.1007/978-3-319-60717-7_36
Abstract
Coordinated multipoint (CoMP) has been applied as a key technology to enhance the coverage of cell and mitigate the intercell interference (ICI) in LTE-A. Traditional fundamental research of cell clustering for CoMP concentrates on both static and dynamic clustering. However, in the high data demands and heavy ICI scenario, both the static and dynamic clustering cannot ensure good Quality of Service (QoS) for User Equipments (UEs). Hence, in this paper, we formulate the problem to maximize cell-edge throughput and analysis the system complexity, and the time detection based hybrid clustering strategy for JP (Joint Processing)-CoMP is proposed to solve this problem. Based on LTE system level platform, simulation results show that the proposed scheme has better performance than static clustering even gets close to dynamic clustering with less complexity.
