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Multimorbidity patterns as predictors of sleeping medication use: a population-based study in women in Southern Brazil. [PDF]
Oliveira MLG +6 more
europepmc +1 more source
Traffic-Aware Energy-Saving Base Station Sleeping and Clustering in Cooperative Networks
We consider energy efficient base station (BS) sleeping and clustering problems in cooperative cellular networks, where clusters of base stations jointly transmit to users.
Hyang-Won Lee, Jihwan KIM, Song Chong
exaly +2 more sources
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Delay-Constrained Energy-Optimal Base Station Sleeping Control
IEEE Journal on Selected Areas in Communications, 2016Base station (BS) sleeping is an effective way to improve the energy-efficiency of cellular networks. However, it may bring extra user-perceived delay. We conduct a theoretical study into the impact of BS sleeping on both energy-efficiency and user-perceived delay.
Xueying Guo +2 more
exaly +3 more sources
Joint Optimization of Base Station Deep-Sleep and DTX Micro-Sleep
2016 IEEE Globecom Workshops (GC Wkshps), 2016When both base station (BS) deep-sleep and discontinuous transmission (DTX) are applied to improve network energy efficiency (EE), switching BS into deep-sleep mode would increase the load of remaining active BSs and thereby reduce their energy savings via DTX.
Peiliang Chang, Guowang Miao
openaire +2 more sources
Dynamic sleeping algorithm of base station based on spatial features
2014 21st International Conference on Telecommunications (ICT), 2014Since access networks are deployed to support peak traffic, part of base stations always keep active during off-peak period, resulting energy dissipation. In this paper, we propose a dynamic Base Station (BS) sleeping algorithm to reduce energy consumption, which exploits dynamic characteristics of mobile data traffic on time and spatial dimensions ...
Hui Liu, Hongyan Cui, Jianya Chen
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Sleep mode implementation issues in green base stations
21st Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, 2010In this paper, we focus on practical issues when implementing sleep mode in base stations. Our aim being to reduce energy consumption without affecting the Quality of Service (QoS) perceived by users, we expose some problems that my occur when applying sleep mode and propose practical solutions to cope with the resulting QoS degradation.
Louai Saker, Salah-Eddine Elayoubi
openaire +1 more source
Content Caching at Sleeping-Enabled Base Stations in Heterogeneous Networks
2016 8th International Conference on Wireless Communications & Signal Processing (WCSP), 2016Proactive content caching at base stations can efficiently reduce the traffic of backhaul links. In heterogeneous networks, small base station (SBSs) sleeping is usually adopted when the cell load is low to reduce the energy consumption, which, however, will make the cached contents unavailable and thus, bring new technical challenges to designing ...
Aiping Huang, Zhaoyang Zhang
exaly +3 more sources
Artificial Intelligence Based Technique for Base Station Sleeping
2020In the progress of 5G wireless cellular network the heterogeneous network plays an important role. In this paper energy consumption is investigated. First, the placement of Small Base station with Macro Base station which reduces the power consumption then by applying Genetic Algorithm to reduce the power ingestion by switch off the Base station ...
Deepa Palani, Merline Arulraj
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Base station sleeping mechanism based on traffic prediction in heterogeneous networks
2015 International Telecommunication Networks and Applications Conference (ITNAC), 2015In order to reduce the energy consumption of cellular networks, the possibility of turning off base stations under off-peak time has been focused in recent years. However, traffic in cellular networks is always under fluctuation which leads to the sleeping mechanisms which is based on deterministic traffic variation pattern unsuitable. In this paper, a
Jinming Hu +3 more
openaire +2 more sources

