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Small Cell Deployment Based on Energy Efficiency in Heterogeneous Networks

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Book cover Communications, Signal Processing, and Systems (CSPS 2019)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 571))

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Abstract

The deployment of the next generation mobile networks increasingly relies on the deployments of small cell. In this paper, we propose and evaluate an optimal energy efficiency (EE) small cell deployment scheme to solve the problem of small cell deployment in Massive MIMO system, considering the impact of base station (BS) location, number of antennas and BS density on the EE of the system in different scenarios. Single-cell model and multi-cell model are considered. In the single-cell model, the system allocates the location of the small cell by minimizing the system power consumption when the scheme satisfies the target transmission rate constraint of the user. In the multi-cell model, the optimal BS density is obtained by deriving the EE expressions of different optimization parameters. The simulation results show that the scheme can achieve high EE and validate the effectiveness of the proposed scheme.

This work was supported in part by the National Natural Science Foundation of China (NSFC) under Grant 61761033, and Natural Science Foundation of Inner Mongolia Autonomous Region of China under Grant 2016MS0604.

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Correspondence to Yang Liu .

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Zhang, Y., Ning, S., Wang, H., Gao, J., Liu, Y. (2020). Small Cell Deployment Based on Energy Efficiency in Heterogeneous Networks. In: Liang, Q., Wang, W., Liu, X., Na, Z., Jia, M., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2019. Lecture Notes in Electrical Engineering, vol 571. Springer, Singapore. https://doi.org/10.1007/978-981-13-9409-6_2

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  • DOI: https://doi.org/10.1007/978-981-13-9409-6_2

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-9408-9

  • Online ISBN: 978-981-13-9409-6

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