Energy efficiency based joint cell selection and power allocation scheme for HetNets
Heterogeneous networks (HetNets) composed of overlapped cells with different sizes are expected to improve the transmission performance of data service significantly. User equipments (UEs) in the overlapped area of multiple cells might be able to access various base stations (BSs) of the cells, resu...
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KeAi Communications Co., Ltd.
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doaj-d1a4340b31244ba59b6da73cfe34a9022021-03-02T04:55:11ZengKeAi Communications Co., Ltd.Digital Communications and Networks2352-86482016-11-012418419010.1016/j.dcan.2016.11.004Energy efficiency based joint cell selection and power allocation scheme for HetNetsKwabena Kobia Mensah0Rong Chai1Denis Bilibashi2Feifei Gao3Key Lab of Mobile Communication Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, PR ChinaKey Lab of Mobile Communication Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, PR ChinaKey Lab of Mobile Communication Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, PR ChinaDepartment of Automation, Tsinghua University, PR ChinaHeterogeneous networks (HetNets) composed of overlapped cells with different sizes are expected to improve the transmission performance of data service significantly. User equipments (UEs) in the overlapped area of multiple cells might be able to access various base stations (BSs) of the cells, resulting in various transmission performances due to cell heterogeneity. Hence, designing optimal cell selection scheme is of particular importance for it may affect user quality of service (QoS) and network performance significantly. In this paper, we jointly consider cell selection and transmit power allocation problem in a HetNet consisting of multiple cells. For a single UE case, we formulate the energy efficiency of the UE, and propose an energy efficient optimization scheme which selects the optimal cell corresponding to the maximum energy efficiency of the UE. The problem is then extended to multiple UEs case. To achieve joint performance optimization of all the UEs, we formulate an optimization problem with the objective of maximizing the sum energy efficiency of UEs subject to QoS and power constraints. The formulated nonlinear fractional optimization problem is equivalently transformed into two subproblems, i.e., power allocation subproblem of each UE-cell pair, and cell selection subproblem of UEs. The two subproblems are solved respectively through applying Lagrange dual method and Kuhn–Munkres (K-M) algorithm. Numerical results demonstrate the efficiency of the proposed algorithm.http://www.sciencedirect.com/science/article/pii/S2352864816301055Energy efficiencyHetNetsCellular networkKuhn–MunkresLagrange |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Kwabena Kobia Mensah Rong Chai Denis Bilibashi Feifei Gao |
spellingShingle |
Kwabena Kobia Mensah Rong Chai Denis Bilibashi Feifei Gao Energy efficiency based joint cell selection and power allocation scheme for HetNets Digital Communications and Networks Energy efficiency HetNets Cellular network Kuhn–Munkres Lagrange |
author_facet |
Kwabena Kobia Mensah Rong Chai Denis Bilibashi Feifei Gao |
author_sort |
Kwabena Kobia Mensah |
title |
Energy efficiency based joint cell selection and power allocation scheme for HetNets |
title_short |
Energy efficiency based joint cell selection and power allocation scheme for HetNets |
title_full |
Energy efficiency based joint cell selection and power allocation scheme for HetNets |
title_fullStr |
Energy efficiency based joint cell selection and power allocation scheme for HetNets |
title_full_unstemmed |
Energy efficiency based joint cell selection and power allocation scheme for HetNets |
title_sort |
energy efficiency based joint cell selection and power allocation scheme for hetnets |
publisher |
KeAi Communications Co., Ltd. |
series |
Digital Communications and Networks |
issn |
2352-8648 |
publishDate |
2016-11-01 |
description |
Heterogeneous networks (HetNets) composed of overlapped cells with different sizes are expected to improve the transmission performance of data service significantly. User equipments (UEs) in the overlapped area of multiple cells might be able to access various base stations (BSs) of the cells, resulting in various transmission performances due to cell heterogeneity. Hence, designing optimal cell selection scheme is of particular importance for it may affect user quality of service (QoS) and network performance significantly. In this paper, we jointly consider cell selection and transmit power allocation problem in a HetNet consisting of multiple cells. For a single UE case, we formulate the energy efficiency of the UE, and propose an energy efficient optimization scheme which selects the optimal cell corresponding to the maximum energy efficiency of the UE. The problem is then extended to multiple UEs case. To achieve joint performance optimization of all the UEs, we formulate an optimization problem with the objective of maximizing the sum energy efficiency of UEs subject to QoS and power constraints. The formulated nonlinear fractional optimization problem is equivalently transformed into two subproblems, i.e., power allocation subproblem of each UE-cell pair, and cell selection subproblem of UEs. The two subproblems are solved respectively through applying Lagrange dual method and Kuhn–Munkres (K-M) algorithm. Numerical results demonstrate the efficiency of the proposed algorithm. |
topic |
Energy efficiency HetNets Cellular network Kuhn–Munkres Lagrange |
url |
http://www.sciencedirect.com/science/article/pii/S2352864816301055 |
work_keys_str_mv |
AT kwabenakobiamensah energyefficiencybasedjointcellselectionandpowerallocationschemeforhetnets AT rongchai energyefficiencybasedjointcellselectionandpowerallocationschemeforhetnets AT denisbilibashi energyefficiencybasedjointcellselectionandpowerallocationschemeforhetnets AT feifeigao energyefficiencybasedjointcellselectionandpowerallocationschemeforhetnets |
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1724242848006537216 |