Abstract
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.
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Acknowledgments
This work was supported by the China’s 863 Project (No. 2015AA01A706), the National S&T Major Project (No. 2014ZX03004003), Science and Technology Program of Beijing (No. D161100001016002), State Key Laboratory of Wireless Mobile Communications, China Academy of Telecommunications Technology (CATT), and by Beijing Samsung Telecom R&D Center.
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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Zeng, J., Zhang, Q., Su, X., Rong, L. (2018). An Improved Dynamic Clustering Algorithm Based on Uplink Capacity Analysis in Ultra-Dense Network System. In: Huang, M., Zhang, Y., Jing, W., Mehmood, A. (eds) Wireless Internet. WICON 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 214. Springer, Cham. https://doi.org/10.1007/978-3-319-72998-5_23
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DOI: https://doi.org/10.1007/978-3-319-72998-5_23
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