Abstract
Ultra dense Network (UDN) is considered as a promising technology for 5G. With dense access points (APs), one user can be served by several APs cooperatively. Hence, how to choose APs and group them is a big challenge. In this paper, a dynamic APs grouping scheme is proposed for the downlink of User-centric UDN (UUDN). This scheme takes terrain and network topology into consideration to divide the APs into several available candidate sets (ACSs). The APs can be chosen from the ACS as the group member for UE’s APs group (APG). Once the service requirement changes or user moves, the group should be changed accordingly. The optimal objective is maximum energy efficiency under the constraints of transmission power and user’s data rate requirements. This scheme solves the problem of AP selection and power allocation. It is modeled as a discrete mixed combinational optimization problem, and a quantum-behaved particle swarm optimization (QPSO) algorithm is adopted to solve it efficiently. In addition, simulation results have also proved the effectiveness and flexibility of the proposed scheme.
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Acknowledgements
This work is supported by National Natural Science Foundation of China under Grant 61302080 and 61271182.
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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Yu, S., Li, X., Ji, H., Liu, Y. (2018). Dynamic APs Grouping Scheme Base on Energy Efficiency in UUDN. In: Chen, Q., Meng, W., Zhao, L. (eds) Communications and Networking. ChinaCom 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 210. Springer, Cham. https://doi.org/10.1007/978-3-319-66628-0_7
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DOI: https://doi.org/10.1007/978-3-319-66628-0_7
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