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학술지 Energy Efficiency of Ultra-Dense Small-Cell Downlink Networks with Adaptive Cell Breathing
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저자
허진, Xuelian Wu, 김형섭, 정방철
발행일
201802
출처
IET Communications, v.12 no.3, pp.367-372
ISSN
1751-8628
출판사
IET
DOI
https://dx.doi.org/10.1049/iet-com.2016.1420
협약과제
17HF1600, (통합)초연결 스마트 서비스를 위한 5G 이동통신 핵심기술개발, 정현규
초록
The authors propose an adaptive cell-breathing (ACB) technique to improve the energy efficiency (EE) of a downlink cellular network consisting of small-cell base stations (BSs), wherein each BS adaptively adjusts its transmission power such that the received signal strength of the worst-case user is larger than a pre-defined threshold. They also propose an aggressive BS on-off (ABO) technique in which the small-cell BSs having a number of users smaller than a certain value, Nth, are turned off, whereas conventional techniques only turn off the empty BSs. They adopt a stochastic geometry for modelling the locations of both BSs and users. Simulation results show that the ACB technique yields a much better EE than the power on-off technique with a fixed power, including the ABO technique. In particular, the EE of the ACB technique is proportional to ({\\lambda}b)c (c > 0), where {\\lambda}b denotes the BS density and the exponent c denotes the increasing ratio of the EE to {\\lambda}b in the log - log domain. The EE of the ABO technique tends to increase as Nth increases.
KSP 제안 키워드
Adaptive cell, Cellular networks, Energy Efficiency, Number of users, On-off, Radio signal strength(RSS), Stochastic geometry, Ultra-dense, base station(BS), cell breathing, conventional techniques