ACEnet: Approximate Thinning-Based Judicious Network Control for Energy-Efficient Ultra-Dense Networks

Wonseok Lee, Bang Chul Jung and Howon Lee
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Wonseok Lee: Department of Electrical, Electronic, and Control Engineering and IITC, Hankyong National University, Anseong, Gyeonggi 17579, Korea
Bang Chul Jung: Department of Electronics Engineering, Chungnam National University, Daejeon 34134, Korea
Howon Lee: Department of Electrical, Electronic, and Control Engineering and IITC, Hankyong National University, Anseong, Gyeonggi 17579, Korea

Energies, 2018, vol. 11, issue 5, 1-11

Abstract: This study considers a ultra-dense network (UDN) in which the enormous number of base stations (BSs) are densely deployed to support the massive amount of data traffic generated by many mobile devices. In this paper, we propose an approximate thinning-based judicious network control algorithm for energy-efficient UDNs (ACEnet) to improve the area throughput while diminishing the network energy consumption. The main idea of the proposed ACEnet algorithm is to judiciously adjust the modes of the BSs according to active-user density based on the thinning operation in stochastic geometry framework. The stochastic geometry framework is exploited to analyze the performance of the proposed algorithm, which includes the signal-to-interference-plus-noise ratio (SINR), average achievable rate of users, area throughput, and energy efficiency. Through intensive simulations, it shows that the proposed algorithm outperforms conventional algorithms. We also demonstrate that the analytical results are well matched with the simulation results.

Keywords: stochastic geometry; ultra-dense network; energy efficiency; hard-core point process (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
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