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A Biologically-Inspired Power Control Algorithm for Energy-Efficient Cellular Networks

Author

Listed:
  • Hyun-Ho Choi

    (Department of Electrical, Electronic and Control Engineering, Institute for Information Technology Convergence, Hankyong National University, 327 Chungang-ro, Anseong 17579, Korea)

  • Jung-Ryun Lee

    (School of the Electrical Engineering, Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul 06974, Korea)

Abstract

Most of the energy used to operate a cellular network is consumed by a base station (BS), and reducing the transmission power of a BS can therefore afford a substantial reduction in the amount of energy used in a network. In this paper, we propose a distributed transmit power control (TPC) algorithm inspired by bird flocking behavior as a means of improving the energy efficiency of a cellular network. Just as each bird in a flock attempts to match its velocity with the average velocity of adjacent birds, in the proposed algorithm, each mobile station (MS) in a cell matches its rate with the average rate of the co-channel MSs in adjacent cells by controlling the transmit power of its serving BS. We verify that this bio-inspired TPC algorithm using a local rate-average process achieves an exponential convergence and maximizes the minimum rate of the MSs concerned. Simulation results show that the proposed TPC algorithm follows the same convergence properties as the flocking algorithm and also effectively reduces the power consumption at the BSs while maintaining a low outage probability as the inter-cell interference increases; in so doing, it significantly improves the energy efficiency of a cellular network.

Suggested Citation

  • Hyun-Ho Choi & Jung-Ryun Lee, 2016. "A Biologically-Inspired Power Control Algorithm for Energy-Efficient Cellular Networks," Energies, MDPI, vol. 9(3), pages 1-16, March.
    • Handle: RePEc:gam:jeners:v:9:y:2016:i:3:p:161-:d:65081
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    References listed on IDEAS

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    1. YunWon Chung, 2015. "Modeling and Performance Analysis of State Transitions for Energy-Efficient Femto Base Stations," Energies, MDPI, vol. 8(5), pages 1-18, May.
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    Cited by:

    1. Byung Moo Lee & Youngok Kim, 2016. "Design of an Energy Efficient Future Base Station with Large-Scale Antenna System," Energies, MDPI, vol. 9(12), pages 1-17, December.
    2. Byung Moo Lee & Youngok Kim, 2017. "Interference-Aware PAPR Reduction Scheme to Increase the Energy Efficiency of Large-Scale MIMO-OFDM Systems," Energies, MDPI, vol. 10(8), pages 1-16, August.

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