@inproceedings{13bf794af8a7479f87c5f84f858f507c,
title = "Interference graph based knapsack clustering algorithm in ultra-dense networks",
abstract = "To solve the problem of high inter-cell interference in ultra-dense networks, this paper proposes an interfer-ence graph based knapsack clustering algorithm. Firstly, the weighted undirected interference graph is drawn by measuring the reference signal receiving power (RSRP) of adjacent base stations (BSs) through user equipment (UE). On this basis, the clustering result matches the distribution of user service through dynamic programming, in which avoiding intra-cluster interference and minimizing inter-cluster interference serve as a criterion. The simulation results show that compared with traditional clustering algorithm, the proposed algorithm effectively improves the satisfaction rate of user service as well as system throughput.",
keywords = "clustering, dynamic programming, interference graph, ultra-dense networks",
author = "Tianzhu Yuan and Xuanli Wu and Jiuning Zhang",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 9th IEEE MTT-S International Wireless Symposium, IWS 2022 ; Conference date: 12-08-2022 Through 15-08-2022",
year = "2022",
doi = "10.1109/IWS55252.2022.9977618",
language = "英语",
series = "2022 IEEE MTT-S International Wireless Symposium, IWS 2022 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2022 IEEE MTT-S International Wireless Symposium, IWS 2022 - Proceedings",
address = "美国",
}