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Cooperation-enabled energy efficient base station management for dense small cell networks

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Abstract

Dense small cell networks are deployed for future wireless communication to meet the ever-increasing mobile traffic demand. However, network densification will significantly increase the energy budget and lead to energy inefficiency due to the constant operation of network hardware. In this paper, we consider cooperation-enabled dynamic base station (BS) management for downlink dense small cell networks. By introducing two traffic-aware sleep modes, i.e., deep sleep mode and opportunistic sleep mode which are operating in different time and energy consumption scales, the network hardwares are turned to be the resources that can be occupied and released dynamically. Small cell BSs (SBSs) with zero or low load are completely switched off and reside in deep sleep mode during a predefined time interval. At each time slot, SBS dynamically turn some antennas and associated physical components into opportunistic sleep mode according to the short term traffic distribution, and the users are jointly served by the remaining antennas via cooperative transmission. The corresponding sleep mode decision making are presented respectively to find the optimal number of SBS and antennas that should be switched off. Numerical results are then presented to illustrate the superior performance in terms of energy efficiency gain. In summary, the proposed cooperation-aided sleep strategies for dense small cell networks take both traffic features and optimal cooperative transmission into account, and can achieve great energy saving while maintaining required quality of service.

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Notes

  1. This is reasonable since the research in [12] shows that a switching time of 30 \(\mu s\), which is much smaller than the duration of a time slot.

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Acknowledgments

This work is supported by the National Natural Science Foundation of China (61271179), “the Fundamental Research Funds for the Central Universities”, No. 2014ZD03-01, the Broadband China Project, No. ZBGF0140232200000, Beijing municipal science and technology commission research fund project "Research of 5G Network Architecture and Its Intelligent Management Technologies", No. D151100000115002.

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Authors and Affiliations

  1. Beijing Laboratory of Advanced Information Networks, Beijing Key Laboratory of Network System Architecture and Convergence, Beijing University of Posts and Telecommunications, Beijing, China

    Yawen Chen, Xiangming Wen, Zhaoming Lu, Hua Shao & Wenpeng Jing

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  1. Yawen Chen
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  2. Xiangming Wen
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  3. Zhaoming Lu
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  4. Hua Shao
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Correspondence to Yawen Chen.

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Chen, Y., Wen, X., Lu, Z. et al. Cooperation-enabled energy efficient base station management for dense small cell networks. Wireless Netw 23, 1611–1628 (2017). https://doi.org/10.1007/s11276-016-1234-y

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