A Biologically-Inspired Power Control Algorithm for Energy-EfficientCellular Networks

Collection with item attached
2016
Item details URL
http://open-repository.kisti.re.kr/cube/handle/open_repository/473477.do
DOI
10.3390/en9030161
Title
A Biologically-Inspired Power Control Algorithm for Energy-EfficientCellular Networks
Description
This research was supported by the Basic Science Research Programthrough the National Research Foundation of Korea (NRF) funded by theMinistry of Education, Science and Technology (2011-0025424), theMSIP(Ministry of Science, ICT and Future Planning), Korea, under theITRC (Information Technology Research Center) support program(IITP-2015-H8501-15-1007) supervised by the IITP (Institute forInformation & communications Technology Promotion), and the HumanResources Development (No. 20154030200860) of the Korea Institute ofEnergy Technology Evaluation and Planning (KETEP) grant funded by theKorea government Ministry of Trade, Industry and Energy.
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.
provenance
Made available in Cube on 2018-09-28T10:20:39Z (GMT). No. of bitstreams: 0
language
English
author
Choi, Hyun-Ho
Lee, Jung-Ryun
orcid
Choi, Hyun-Ho/0000-0002-6785-2596
accessioned
2018-09-28T10:20:39Z
available
2018-09-28T10:20:39Z
issued
2016
citation
ENERGIES(9): 3
issn
1996-1073
uri
http://open-repository.kisti.re.kr/cube/handle/open_repository/473477.do
Funder
미래창조과학부
Funding Program
정보통신기술인력양성
Project ID
1711035256
Jurisdiction
Rep.of Korea
Project Name
u-Office Service Research Based on High-speed Wireless Networks
rights
openAccess
subject
green base station
flocking model
energy efficiency
power controlalgorithm
bio-inspired algorithm
energy-efficient cellular network
type
article


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