@inproceedings{8ee05ddd3d1d426fb90f500bd18e48d0,
title = "Dynamic CoMP configuration for OFDMA networks under different user traffic scenarios",
abstract = "In OFDMA based LTE and LTE-A systems, cell-edge users suffer from Inter-Cell Interference (ICI). To mitigate ICI, Coordinated Multi-Point (CoMP) is proposed to improve cell-edge users' performance. In CoMP mode, base stations need to reserve same frequencies for these CoMP users. However, mobile communication network is a dynamic network. Users distribution are always changing, therefore it will be beneficial to configure CoMP dynamically. In this study, an intelligent algorithm is designed and implemented to dynamically adjust CoMP configuration to optimize system performance. In the algorithm, base stations cooperatively divide CoMP and Non CoMP users according to user traffic scenarios and cooperatively adjust configuration of CoMP users. Genetic Algorithm is coupled to the proposed algorithm to optimize CoMP division. Cell edge users' SINR and throughput performance are significantly improved by our algorithm.",
keywords = "Genetic Algorithm, LTE, LTE-A, OFDMA, dynamic CoMP",
author = "Yapeng Wang and Xu Yang and Liang Yang",
note = "Publisher Copyright: {\textcopyright} 2015 University of Split, FESB.; 23rd International Conference on Software, Telecommunications and Computer Networks, SoftCOM 2015 ; Conference date: 16-09-2015 Through 18-09-2015",
year = "2015",
month = oct,
day = "30",
doi = "10.1109/SOFTCOM.2015.7314084",
language = "English",
series = "2015 23rd International Conference on Software, Telecommunications and Computer Networks, SoftCOM 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "274--279",
editor = "Nikola Rozic and Dinko Begusic and Petar Solic and Matko Saric",
booktitle = "2015 23rd International Conference on Software, Telecommunications and Computer Networks, SoftCOM 2015",
address = "United States",
}