Energy-Efficient User Association Strategy for Hyperdense Heterogeneous Networking in the Fifth Generation Systems
Redesigning user association strategies to improve energy efficiency (EE) has been viewed as one of the promising shifting paradigms for the fifth generation (5G) cellular networks. In this paper, we investigate how to optimize users’ association to enhance EE for hyper dense heterogeneous networkin...
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doaj-5a490a1983dd4e029272bbc4850dcf202020-11-24T23:16:38ZengHindawi LimitedInternational Journal of Antennas and Propagation1687-58691687-58772015-01-01201510.1155/2015/686783686783Energy-Efficient User Association Strategy for Hyperdense Heterogeneous Networking in the Fifth Generation SystemsLei Li0Hao Jin1Zhipeng Yan2Changqing Yang3Yong Wu4The Key Laboratory of Universal Wireless Communications for Ministry of Education, Beijing University of Posts and Telecommunications, Beijing 100876, ChinaThe Key Laboratory of Universal Wireless Communications for Ministry of Education, Beijing University of Posts and Telecommunications, Beijing 100876, ChinaThe Key Laboratory of Universal Wireless Communications for Ministry of Education, Beijing University of Posts and Telecommunications, Beijing 100876, ChinaHuawei Technologies Co., Ltd., Beijing 100085, ChinaHuawei Technologies Co., Ltd., Beijing 100085, ChinaRedesigning user association strategies to improve energy efficiency (EE) has been viewed as one of the promising shifting paradigms for the fifth generation (5G) cellular networks. In this paper, we investigate how to optimize users’ association to enhance EE for hyper dense heterogeneous networking in the 5G cellular networks, where the low-power node (LPN) much outnumbers the high-power node (HPN). To characterize that densely deployed LPNs would undertake a majority of high-rate services, while HPNs mainly support coverage; the EE metric is defined as average weighted EE of access nodes with the unit of bit per joule. Then, the EE optimization objective function is formulated and proved to be nonconvex. Two mathematical transformation techniques are presented to solve the nonconvex problem. In the first case, the original problem is reformulated as an equivalent problem involving the maximization of a biconcave function. In the second case, it is equivalent to a concave minimization problem. We focus on the solution of the biconcave framework, and, by exploiting the biconcave structure, a novel iterative algorithm based on dual theory is proposed, where a partially optimal solution can be achieved. Simulation results have verified the effectiveness of the proposed algorithm.http://dx.doi.org/10.1155/2015/686783 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Lei Li Hao Jin Zhipeng Yan Changqing Yang Yong Wu |
spellingShingle |
Lei Li Hao Jin Zhipeng Yan Changqing Yang Yong Wu Energy-Efficient User Association Strategy for Hyperdense Heterogeneous Networking in the Fifth Generation Systems International Journal of Antennas and Propagation |
author_facet |
Lei Li Hao Jin Zhipeng Yan Changqing Yang Yong Wu |
author_sort |
Lei Li |
title |
Energy-Efficient User Association Strategy for Hyperdense Heterogeneous Networking in the Fifth Generation Systems |
title_short |
Energy-Efficient User Association Strategy for Hyperdense Heterogeneous Networking in the Fifth Generation Systems |
title_full |
Energy-Efficient User Association Strategy for Hyperdense Heterogeneous Networking in the Fifth Generation Systems |
title_fullStr |
Energy-Efficient User Association Strategy for Hyperdense Heterogeneous Networking in the Fifth Generation Systems |
title_full_unstemmed |
Energy-Efficient User Association Strategy for Hyperdense Heterogeneous Networking in the Fifth Generation Systems |
title_sort |
energy-efficient user association strategy for hyperdense heterogeneous networking in the fifth generation systems |
publisher |
Hindawi Limited |
series |
International Journal of Antennas and Propagation |
issn |
1687-5869 1687-5877 |
publishDate |
2015-01-01 |
description |
Redesigning user association strategies to improve energy efficiency (EE) has been viewed as one of the promising shifting paradigms for the fifth generation (5G) cellular networks. In this paper, we investigate how to optimize users’ association to enhance EE for hyper dense heterogeneous networking in the 5G cellular networks, where the low-power node (LPN) much outnumbers the high-power node (HPN). To characterize that densely deployed LPNs would undertake a majority of high-rate services, while HPNs mainly support coverage; the EE metric is defined as average weighted EE of access nodes with the unit of bit per joule. Then, the EE optimization objective function is formulated and proved to be nonconvex. Two mathematical transformation techniques are presented to solve the nonconvex problem. In the first case, the original problem is reformulated as an equivalent problem involving the maximization of a biconcave function. In the second case, it is equivalent to a concave minimization problem. We focus on the solution of the biconcave framework, and, by exploiting the biconcave structure, a novel iterative algorithm based on dual theory is proposed, where a partially optimal solution can be achieved. Simulation results have verified the effectiveness of the proposed algorithm. |
url |
http://dx.doi.org/10.1155/2015/686783 |
work_keys_str_mv |
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