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A Data-Driven Base Station Sleeping Strategy Based on Traffic Prediction [PDF]
IEEE Transactions on Network Science and EngineeringDue to the rapidly increasing number of base stations (BSs) in the operational cellular networks, their energy consumption is escalating. In this paper, we propose an intelligent data-driven BS sleeping mechanism relying on a wireless traffic prediction ...
Jiansheng Lin +5 more
semanticscholar +4 more sources
Resource Allocation for CoMP in Cellular Networks With Base Station Sleeping
IEEE Access, 2018 Base station sleeping (BSS) can result in significant reduction in energy consumption of cellular networks during low traffic conditions. We show that the coverage loss due to BSS can be compensated via coordinated multi-point (CoMP) -based transmission ...
Yoghitha Ramamoorthi, Abhinav Kumar
doaj +2 more sources
IEEE Access, 2018 To efficiently reduce on-grid energy consumption, the base station (BS) sleeping strategy in the hybrid energy-powered cellular network (HybE-Net) in the Internet of Things environment is studied. In order to maximize on-grid energy saving, a BS sleeping
Heng Wang +5 more
doaj +2 more sources
EDMR: An Enhanced Dynamic Multi-Hop Routing Protocol with a Novel Sleeping Mechanism for Wireless Sensor Networks [PDF]
SensorsNumerous protocols have emerged to address the energy depletion problem in Wireless Sensor Networks (WSNs). Among these protocols, the Dynamic Multi-Hop Routing (DMR) protocol adopts a dynamic technique for routing data across the network. The use of the
Emad Alnawafa, Mohammad Allaymoun
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Two-stage base station sleeping scheme for green cellular networks
Journal of Communications and Networks, 2016 In this paper, we propose a two-stage base station (BS) sleeping scheme to save energy consumption in cellular networks. The BS sleeping mode is divided into a light sleeping stage and a deep sleeping stage according to whether there is a user in the BS's coverage. In the light sleeping stage, a BS will retain its coverage and frequently switch between
Juwo Yang, Xing Zhang, Wenbo Wang
semanticscholar +2 more sources
Analytical approach to base station sleep mode power consumption and sleep depth [PDF]
2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), 2017 In this paper, we present an analytical framework to model the sleep mode power consumption of a base station (BS) as a function of its sleep depth. The sleep depth is made up of the BS deactivation latency, actual sleep period and activation latency.
Onireti, Oluwakayode +3 more
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Coordination of Macro Base Stations for 5G Network with User Clustering
Sensors, 2021 With the increasing amounts of terminal equipment with higher requirements of communication quality in the emerging fifth generation mobile communication network (5G), the energy consumption of 5G base stations (BSs) is increasing significantly, which ...
Kun Li +5 more
doaj +1 more source
SMDP-based sleep policy for base stations in heterogeneous cellular networks
Digital Communications and Networks, 2021 A dense heterogeneous cellular network can effectively increase the system capacity and enhance the network coverage. It is a key technology for the new generation of the mobile communication system. The dense deployment of small base stations not only improves the quality of network service, but also brings about a significant increase in network ...
Jing Wu +5 more
openaire +2 more sources
Sleep Mechanism of Base Station Based on Minimum Energy Cost [PDF]
Wireless Communications and Mobile Computing, 2018 Deploying dense network is a promising technique of fifthâgeneration communication to meet the challenge of soaring demand from explosive growth of mobile users. However, this technique obviously increases the power consumption, thereby indirectly causing heavy financial burden on mobile network operators and CO2 emission, which is considered as a ...
Dongsheng Han, Bing Zheng, Zhixiong Chen
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Base Station Switching and Sleep Mode Optimization With LSTM-Based User Prediction [PDF]
IEEE Access, 2020 The base station (BS) switching technique has recently attracted considerable attention for reducing power consumption in wireless networks. In this paper, we propose a novel BS switching and sleep mode optimization method to minimize the power consumption, while ensuring that the arriving user traffic is sufficiently covered.
Gunhee Jang +4 more
openaire +2 more sources