A Biologically-Inspired Power Control Algorithm for Energy-Efficient Cellular Networks
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...
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| Format: | Article |
| Language: | English |
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MDPI AG
2016-03-01
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| Series: | Energies |
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| Online Access: | http://www.mdpi.com/1996-1073/9/3/161 |
| _version_ | 1818008320013762560 |
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| author | Hyun-Ho Choi Jung-Ryun Lee |
| author_facet | Hyun-Ho Choi Jung-Ryun Lee |
| author_sort | Hyun-Ho Choi |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-14T05:27:37Z |
| format | Article |
| id | doaj.art-c242a7e29bb94d86bedbbdd1bc0ecaa8 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-14T05:27:37Z |
| publishDate | 2016-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-c242a7e29bb94d86bedbbdd1bc0ecaa82022-12-22T02:09:55ZengMDPI AGEnergies1996-10732016-03-019316110.3390/en9030161en9030161A Biologically-Inspired Power Control Algorithm for Energy-Efficient Cellular NetworksHyun-Ho Choi0Jung-Ryun Lee1Department of Electrical, Electronic and Control Engineering, Institute for Information Technology Convergence, Hankyong National University, 327 Chungang-ro, Anseong 17579, KoreaSchool of the Electrical Engineering, Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul 06974, KoreaMost 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.http://www.mdpi.com/1996-1073/9/3/161power control algorithmenergy efficiencygreen base stationbio-inspired algorithmflocking modelenergy-efficient cellular network |
| spellingShingle | Hyun-Ho Choi Jung-Ryun Lee A Biologically-Inspired Power Control Algorithm for Energy-Efficient Cellular Networks Energies power control algorithm energy efficiency green base station bio-inspired algorithm flocking model energy-efficient cellular network |
| title | A Biologically-Inspired Power Control Algorithm for Energy-Efficient Cellular Networks |
| title_full | A Biologically-Inspired Power Control Algorithm for Energy-Efficient Cellular Networks |
| title_fullStr | A Biologically-Inspired Power Control Algorithm for Energy-Efficient Cellular Networks |
| title_full_unstemmed | A Biologically-Inspired Power Control Algorithm for Energy-Efficient Cellular Networks |
| title_short | A Biologically-Inspired Power Control Algorithm for Energy-Efficient Cellular Networks |
| title_sort | biologically inspired power control algorithm for energy efficient cellular networks |
| topic | power control algorithm energy efficiency green base station bio-inspired algorithm flocking model energy-efficient cellular network |
| url | http://www.mdpi.com/1996-1073/9/3/161 |
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