Title :
Dynamic clustering algorithm design for ultra dense small cell networks in 5G
Author :
Siyi Chen; Chengwen Xing; Zesong Fei; Hualei Wang; Zhengang Pan
Author_Institution :
School of Information and Electronics, Beijing Institute of Technology, China
Abstract :
Ultra dense networks are a promising technology enabling high power and spectrum efficiencies in future wireless systems. It is well-known that for ultra dense networks inter-cell interference is one of the main bottlenecks prohibiting achieving the promised performance gains. In order to effectively coordinate or mitigate interference in paper, we propose a graph-based low complexity dynamic clustering algorithm. The key idea behind the proposed algorithm is that dividing the whole network into a number of clusters under size constraint and the maximum intra-cluster interference and minimum inter-cluster interference. The logic is maximum intra-cluster can be effectively controlled by the coordination within each cluster. Meanwhile, graph-based algorithm is exploited to further reduce implementation complexity and make the proposed algorithm suitable for practical implementation. Finally, simulation results numerically demonstrate that the proposed low complexity algorithm has almost the same performance compared to the existing high performance algorithm but the complexity is much lower.
Keywords :
"Clustering algorithms","Interference","Heuristic algorithms","Algorithm design and analysis","Complexity theory","Partitioning algorithms","Wireless communication"
Conference_Titel :
Communications and Networking in China (ChinaCom), 2015 10th International Conference on
DOI :
10.1109/CHINACOM.2015.7498053