The Experts below are selected from a list of 25023 Experts worldwide ranked by ideXlab platform
Xiaoping P Liu - One of the best experts on this subject based on the ideXlab platform.
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when the smart grid meets energy efficient communications green wireless cellular networks powered by the smart grid
IEEE Transactions on Wireless Communications, 2012Co-Authors: Shengrong Bu, Yegui Cai, Richard F. Yu, Xiaoping P LiuAbstract:Recently, there is great interest in considering the energy efficiency aspect of cellular networks. On the other hand, the power grid infrastructure, which provides electricity to cellular networks, is experiencing a significant shift from the traditional electricity grid to the smart grid. When a cellular network is powered by the smart grid, only considering energy efficiency in the cellular network may not be enough. In this paper, we consider not only energy-efficient communications but also the dynamics of the smart grid in designing green wireless cellular networks. Specifically, the dynamic operation of cellular base stations depends on the traffic, real-time electricity price, and the Pollutant Level associated with electricity generation. Coordinated multipoint (CoMP) is used to ensure acceptable service quality in the cells whose base stations have been shut down. The active base stations decide on which retailers to procure electricity from and how much electricity to procure. We formulate the system as a Stackelberg game, which has two Levels: a cellular network Level and a smart grid Level. Simulation results show that the smart grid has significant impacts on green wireless cellular networks, and our proposed scheme can significantly reduce operational expenditure and CO_2 emissions in green wireless cellular networks.
Shengrong Bu - One of the best experts on this subject based on the ideXlab platform.
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when the smart grid meets energy efficient communications green wireless cellular networks powered by the smart grid
IEEE Transactions on Wireless Communications, 2012Co-Authors: Shengrong Bu, Yegui Cai, Richard F. Yu, Xiaoping P LiuAbstract:Recently, there is great interest in considering the energy efficiency aspect of cellular networks. On the other hand, the power grid infrastructure, which provides electricity to cellular networks, is experiencing a significant shift from the traditional electricity grid to the smart grid. When a cellular network is powered by the smart grid, only considering energy efficiency in the cellular network may not be enough. In this paper, we consider not only energy-efficient communications but also the dynamics of the smart grid in designing green wireless cellular networks. Specifically, the dynamic operation of cellular base stations depends on the traffic, real-time electricity price, and the Pollutant Level associated with electricity generation. Coordinated multipoint (CoMP) is used to ensure acceptable service quality in the cells whose base stations have been shut down. The active base stations decide on which retailers to procure electricity from and how much electricity to procure. We formulate the system as a Stackelberg game, which has two Levels: a cellular network Level and a smart grid Level. Simulation results show that the smart grid has significant impacts on green wireless cellular networks, and our proposed scheme can significantly reduce operational expenditure and CO_2 emissions in green wireless cellular networks.
Ayse Betul Oktay - One of the best experts on this subject based on the ideXlab platform.
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forecasting air Pollutant indicator Levels with geographic models 3days in advance using neural networks
Expert Systems With Applications, 2010Co-Authors: Atakan Kurt, Ayse Betul OktayAbstract:An early warning system for air quality control requires an accurate and dependable forecasting of Pollutants in the air. In this study methods based on geographic forecasting models using neural networks (GFM_NN) are presented. The air Pollutant data from 10 different air quality monitoring stations in Istanbul was used in forecasting sulfur dioxide (SO"2), carbon monoxide (CO) and particulate matter (PM"1"0) Levels 3days in advance for the Besiktas district. Daily meteorological forecasts as well as the air Pollutant indicator values were used as input to feed-forward back-propagation neural networks. The experimental verification of the models was conducted in one-year period between August 2005 and August 2006. The observed and forecasted bands were used to compute the forecasting error. The simplest geographic model proposed uses the observed air pollution indicator values from a selected neighboring district. Where as the second model uses two neighboring districts instead of one. A third model considers the distance between the triangulating districts and the district whose air Pollutant Level is being forecasted. Each model is tested with at least two different sets of sites. The findings are quite satisfactory. When the right neighboring districts are chosen, the geographic models always yield lower error than non-geographic models. The distance-based geographic model produces considerably lower error than the non-geographic plain model. We argue that models proposed here can be used in urban air pollution forecasting.
Yegui Cai - One of the best experts on this subject based on the ideXlab platform.
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when the smart grid meets energy efficient communications green wireless cellular networks powered by the smart grid
IEEE Transactions on Wireless Communications, 2012Co-Authors: Shengrong Bu, Yegui Cai, Richard F. Yu, Xiaoping P LiuAbstract:Recently, there is great interest in considering the energy efficiency aspect of cellular networks. On the other hand, the power grid infrastructure, which provides electricity to cellular networks, is experiencing a significant shift from the traditional electricity grid to the smart grid. When a cellular network is powered by the smart grid, only considering energy efficiency in the cellular network may not be enough. In this paper, we consider not only energy-efficient communications but also the dynamics of the smart grid in designing green wireless cellular networks. Specifically, the dynamic operation of cellular base stations depends on the traffic, real-time electricity price, and the Pollutant Level associated with electricity generation. Coordinated multipoint (CoMP) is used to ensure acceptable service quality in the cells whose base stations have been shut down. The active base stations decide on which retailers to procure electricity from and how much electricity to procure. We formulate the system as a Stackelberg game, which has two Levels: a cellular network Level and a smart grid Level. Simulation results show that the smart grid has significant impacts on green wireless cellular networks, and our proposed scheme can significantly reduce operational expenditure and CO_2 emissions in green wireless cellular networks.
Richard F. Yu - One of the best experts on this subject based on the ideXlab platform.
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when the smart grid meets energy efficient communications green wireless cellular networks powered by the smart grid
IEEE Transactions on Wireless Communications, 2012Co-Authors: Shengrong Bu, Yegui Cai, Richard F. Yu, Xiaoping P LiuAbstract:Recently, there is great interest in considering the energy efficiency aspect of cellular networks. On the other hand, the power grid infrastructure, which provides electricity to cellular networks, is experiencing a significant shift from the traditional electricity grid to the smart grid. When a cellular network is powered by the smart grid, only considering energy efficiency in the cellular network may not be enough. In this paper, we consider not only energy-efficient communications but also the dynamics of the smart grid in designing green wireless cellular networks. Specifically, the dynamic operation of cellular base stations depends on the traffic, real-time electricity price, and the Pollutant Level associated with electricity generation. Coordinated multipoint (CoMP) is used to ensure acceptable service quality in the cells whose base stations have been shut down. The active base stations decide on which retailers to procure electricity from and how much electricity to procure. We formulate the system as a Stackelberg game, which has two Levels: a cellular network Level and a smart grid Level. Simulation results show that the smart grid has significant impacts on green wireless cellular networks, and our proposed scheme can significantly reduce operational expenditure and CO_2 emissions in green wireless cellular networks.