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Cluster-Based Dynamic FBSs On/Off Scheme in Heterogeneous Cellular Networks

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Communications and Networking (ChinaCom 2018)

Abstract

Recent years, with the explosive growth of mobile data traffic, cellular communication system is faced with enormous challenges. The ultra-dense deployment of small cells will increase the network capacity while increasing the energy consumption. In this paper, we study a cluster-based dynamic FBSs on/off scheme in heterogeneous cellular networks, where the overall objective is to maximize the network energy efficiency by optimizing jointly the cell association, the base station on/off strategies and the cluster division, taking into account the load balancing and the QoS requirement of heterogenous cellular networks. The optimization problem is divided into three processes: the base station and the user equipment (UE) association scheme, the femtocell base station (FBS) clustering, and the FBS on/off scheme according to the current traffic load. A cluster-based dynamic FBSs on/off scheme is proposed to improve EE in HCNs while ensuring the load balancing, the probability of outage, and the communication requirement of UEs in the core area. Simulation result shows that the proposed algorithm could achieve significant improvement of the network energy efficiency in all aspects than comparison algorithms in literature.

This work is supported by the National Natural Science Foundation of China (NSFC) (61401053), and Innovation Project of the Common Key Technology of Chongqing Science and Technology Industry (Grant no. cstc2015zdcyztzx40008).

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Correspondence to Xiaoge Huang .

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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Huang, X., Tang, S., Zhang, D., Chen, Q. (2019). Cluster-Based Dynamic FBSs On/Off Scheme in Heterogeneous Cellular Networks. In: Liu, X., Cheng, D., Jinfeng, L. (eds) Communications and Networking. ChinaCom 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 262. Springer, Cham. https://doi.org/10.1007/978-3-030-06161-6_32

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  • DOI: https://doi.org/10.1007/978-3-030-06161-6_32

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-06160-9

  • Online ISBN: 978-3-030-06161-6

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