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Energy efficiency of ultra‐dense small‐cell downlink networks with adaptive cell breathing
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- Authors
- Hu Jin, Xuelian Wu, Hyung-sup Kim, Bang Chul Jung
- Issue Date
- 2018-02
- Citation
- IET Communications, v.12, no.3, pp.367-372
- ISSN
- 1751-8628
- Publisher
- IET
- Language
- English
- Type
- Journal Article
- Abstract
- 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 Keywords
- Adaptive cell, Cellular networks, Energy Efficiency, Number of users, On-off, Radio signal strength(RSS), Stochastic geometry, base station(BS), cell breathing, conventional techniques, simulation results