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Optimal online control for sleep mode in green base stations
Computer Networks, 2015In this paper, we investigate network sleep mode schemes for reducing energy consumption of radio access networks. We first propose, using Markov Decision Processes (MDPs), an optimal controller that associates to each traffic an activation/deactivation policy that maximizes a multiple objective function of the Quality of Service (QoS) and the energy ...
Combes, Richard +4 more
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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 +2 more
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Security-Aware Base Station Sleeping Algorithm in Heterogeneous Networks
2014Switching underutilized base stations (BSs) to sleep mode is recognized as a promising approach to reduce the energy consumption of cellular networks, but it may lead to an increasing outage probability and severer eavesdropping effect on users depending on BSs cooperation.
Chenhui Du +5 more
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Energy Efficiency-QoS Tradeoff in Cellular Networks with Base-Station Sleeping
GLOBECOM 2017 - 2017 IEEE Global Communications Conference, 2017Energy efficiency and Quality of Service (QoS) are two important considerations for the design and planning of cellular networks. One effective approach to handle the tradeoff between power consumption and QoS is to switch some of the Base Stations (BSs) to sleep mode when traffic load is low.
Jingjin Wu +3 more
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Performance analysis of green cellular networks with selective base-station sleeping
Performance Evaluation, 2017Abstract Base station (BS) sleeping is one of the emerging solutions for energy saving in cellular networks. It saves energy by selectively switching under-utilized BSs to a low power consuming mode (“sleep mode”) during low traffic hours while transferring their associated traffic to active BSs nearby.
Jingjin Wu +3 more
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Energy Efficiency of Cooperative Base Station Sleep Scheduling for Vehicular Networks
2014 IEEE 79th Vehicular Technology Conference (VTC Spring), 2014This paper investigates the energy efficiency of base station sleep scheduling strategies in 1-D infrastructure-based wireless communication networks formed by vehicles traveling on a highway. In certain scenarios, vehicular speeds and locations can be measured with a high degree of accuracy, and this information can be exploited to reduce the energy ...
Tao Han 0001 +6 more
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Smarter Base Station Sleeping for Greener Cellular Networks
IEEE Network, 2021Ryoichi Shinkuma +5 more
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Minimizing Energy Consumption via Sleep Mode in Green Base Station
2010 IEEE Wireless Communication and Networking Conference, 2010In this paper, we develop new energy-efficient, radio resource management schemes for green wireless networks. Our goal is to optimize energy consumption at the network scale while preserving the Quality of Service (QoS) perceived by users. We specifically propose two new sleep mechanisms for base station where a number of resources in system can be ...
Louai Saker +2 more
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Energy efficiency of 5G mobile networks with base station sleep modes
2017 IEEE Conference on Standards for Communications and Networking (CSCN), 2017The paper presents system level simulation results on future base station energy saving using a time-triggered sleep model. The energy efficiency of future base station is compared in macro cellular network against a comparable baseline without usage of sleep modes.
Panu Lähdekorpi +3 more
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Base Station Sleeping with Dynamical Clustering Strategy of CoMP in LTE-advanced
2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, 2013Due to the increasing number of wireless devices, power consumption and energy efficiency (EE) have become important performance indicators of the cellular network. It is an effective method to reduce energy consumption by switching off some underutilized base stations (BSs).
Yun Li 0001 +3 more
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