Stochastic Power Saving for Macrocell-Assisted Small Cell Networks

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Stochastic Power Saving for Macrocell-Assisted Small Cell Networks Che-Ying Lin1 · Meng-Lin Ku1 Received: 15 October 2019 / Revised: 4 March 2020 / Accepted: 2 April 2020 © Springer Science+Business Media, LLC, part of Springer Nature 2020

Abstract In this paper, a power saving scheme is investigated for macrocell-assisted small cell networks in the downlink, in which small cells are selected to stay in sleep or wake-up modes in order to mitigate excessive power consumption and the small cells operating in the sleep mode are eligible to off-load their served users to the macrocell to preserve communications. By taking the dynamics of user arrival into account, we attempt to minimize the average total power consumption of the network, which depends on several network parameters like power consumption of base stations, available bandwidth, user load in the cells, cell size, user rate requirement, rate outage probability and noise power density, while ensuring the average number of dropping off-loaded users to a satisfactory level. The design problem is then formulated as a constrained Markov decision process and solved via linear programming. A randomized strategy is proposed to accomplish the optimal sleep/wake-up policy for small cells. Simulation results confirm the effectiveness of the proposed scheme, as compared with the one without adopting sleep/wake-up mechanisms, and help us to capture the impact of the network parameters on the entire power saving. Keywords Power saving · Markov decision process · Macrocell · Small cells · User off-loading

1 Introduction Over the past few years, global mobile data traffic has been growing explosively due to the popularization of wireless devices, e.g., smart phones. The network operators face significant challenges in aggressive network capacity due to an ever increasing number of mobile broadband users and bandwidth-intensive services. This trend unavoidably triggers the escalation of deploying heterogeneous networks, in which small cells base stations (BSs) are established to complement the coverage holes in the conventional macrocell and to enhance the service coverage in the hotspot areas with high data traffic demand [1]. A small cell BS is usually a low-cost and low-power radio, the cell coverage of which usually ranges from tens of This work was supported by the Ministry of Science and Technology of Taiwan under Grant MOST 108-2221-E-008-018.  Meng-Lin Ku

[email protected] Che-Ying Lin [email protected] 1

Department of Communication Engineering, National Central University, Taoyuan, Taiwan

meters to a few hundred meters. Since the communication distance is relatively short, the required transmit power in the small cells can be significantly scaled down, as compared with that in the macrocell for achieving the same quality-of-service (QoS). Hence, the small cells have the great potential to save the entire network energy consumption from the green communication perspective [2]. Although the deployment of small cells is likely to be a promising way to meet t