A Base Station DTX Scheme for OFDMA Cellular Networks Powered by the Smart Grid

Discontinuous transmission (DTX) is an efficient technology to improve the energy efficiency of the wireless cellular networks. DTX enables the deactivation of some components of the base station in sufficient short time, which can decrease the energy consumption without affecting the normal operati...

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Autores principales: Qiang Wang, Feng Zhao, Tiejun Chen
Formato: article
Lenguaje:EN
Publicado: IEEE 2018
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DTX
Acceso en línea:https://doaj.org/article/bb48231e355d49349e38a623b2b6f417
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spelling oai:doaj.org-article:bb48231e355d49349e38a623b2b6f4172021-11-19T00:02:20ZA Base Station DTX Scheme for OFDMA Cellular Networks Powered by the Smart Grid2169-353610.1109/ACCESS.2018.2876395https://doaj.org/article/bb48231e355d49349e38a623b2b6f4172018-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/8493606/https://doaj.org/toc/2169-3536Discontinuous transmission (DTX) is an efficient technology to improve the energy efficiency of the wireless cellular networks. DTX enables the deactivation of some components of the base station in sufficient short time, which can decrease the energy consumption without affecting the normal operation of the mobile networks. In addition, we consider distributed smart grid which can power the cellular networks using renewable and conventional energy. The distributed smart grid has many different energy retailers with variant energy resource, such as solar energy, wind energy, and conventional energy. Comparing with conventional energy, the renewable energy is more environmental friendly, but more expensive. As a result, it is necessary to obtain a good tradeoff between the operation cost and greenhouse gas (GHG) emission. In this paper, we jointly optimize the DTX, resource allocation, and smart grid energy procurement to maximize the profit of the network operators and minimize the GHG emission. We formulate the joint optimization problem as a mixed integer programming problem. By exploiting the structure of the coupled constraint of the problem, we propose a suboptimal distributed algorithm based on the Lagrangian dual method, and the algorithm can be performed at cellular network and smart grid alternately, which can significantly decrease the signaling and computational overhead. Simulation results illustrate that the proposed DTX scheme can significantly enhance the energy saving, and further improve the energy efficiency of the cellular networks.Qiang WangFeng ZhaoTiejun ChenIEEEarticleDTXresource allocationpower controlcellular networksdistributed algorithmElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 6, Pp 63442-63451 (2018)
institution DOAJ
collection DOAJ
language EN
topic DTX
resource allocation
power control
cellular networks
distributed algorithm
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
spellingShingle DTX
resource allocation
power control
cellular networks
distributed algorithm
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
Qiang Wang
Feng Zhao
Tiejun Chen
A Base Station DTX Scheme for OFDMA Cellular Networks Powered by the Smart Grid
description Discontinuous transmission (DTX) is an efficient technology to improve the energy efficiency of the wireless cellular networks. DTX enables the deactivation of some components of the base station in sufficient short time, which can decrease the energy consumption without affecting the normal operation of the mobile networks. In addition, we consider distributed smart grid which can power the cellular networks using renewable and conventional energy. The distributed smart grid has many different energy retailers with variant energy resource, such as solar energy, wind energy, and conventional energy. Comparing with conventional energy, the renewable energy is more environmental friendly, but more expensive. As a result, it is necessary to obtain a good tradeoff between the operation cost and greenhouse gas (GHG) emission. In this paper, we jointly optimize the DTX, resource allocation, and smart grid energy procurement to maximize the profit of the network operators and minimize the GHG emission. We formulate the joint optimization problem as a mixed integer programming problem. By exploiting the structure of the coupled constraint of the problem, we propose a suboptimal distributed algorithm based on the Lagrangian dual method, and the algorithm can be performed at cellular network and smart grid alternately, which can significantly decrease the signaling and computational overhead. Simulation results illustrate that the proposed DTX scheme can significantly enhance the energy saving, and further improve the energy efficiency of the cellular networks.
format article
author Qiang Wang
Feng Zhao
Tiejun Chen
author_facet Qiang Wang
Feng Zhao
Tiejun Chen
author_sort Qiang Wang
title A Base Station DTX Scheme for OFDMA Cellular Networks Powered by the Smart Grid
title_short A Base Station DTX Scheme for OFDMA Cellular Networks Powered by the Smart Grid
title_full A Base Station DTX Scheme for OFDMA Cellular Networks Powered by the Smart Grid
title_fullStr A Base Station DTX Scheme for OFDMA Cellular Networks Powered by the Smart Grid
title_full_unstemmed A Base Station DTX Scheme for OFDMA Cellular Networks Powered by the Smart Grid
title_sort base station dtx scheme for ofdma cellular networks powered by the smart grid
publisher IEEE
publishDate 2018
url https://doaj.org/article/bb48231e355d49349e38a623b2b6f417
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AT fengzhao abasestationdtxschemeforofdmacellularnetworkspoweredbythesmartgrid
AT tiejunchen abasestationdtxschemeforofdmacellularnetworkspoweredbythesmartgrid
AT qiangwang basestationdtxschemeforofdmacellularnetworkspoweredbythesmartgrid
AT fengzhao basestationdtxschemeforofdmacellularnetworkspoweredbythesmartgrid
AT tiejunchen basestationdtxschemeforofdmacellularnetworkspoweredbythesmartgrid
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