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

Author

Listed:
  • 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
    Qualcomm Institute, University of California, San Diego, La Jolla, CA 92093-0021, USA)

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.

Suggested Citation

  • Wonseok Lee & Bang Chul Jung & Howon Lee, 2018. "ACEnet: Approximate Thinning-Based Judicious Network Control for Energy-Efficient Ultra-Dense Networks," Energies, MDPI, vol. 11(5), pages 1-11, May.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:5:p:1307-:d:148089
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