A Cluster-Based Energy-Efficient Resource Management Scheme for Ultra-Dense Networks
Ultra-dense networks (UDNs), which can provide extremely high throughput and data rates, have been considered as one of the key techniques for the fifth generation mobile networks. However, it may cause severe inter-cell interference and significant energy consumption due to numerous base stations (...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2016-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/7579583/ |
| _version_ | 1818415526845612032 |
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| author | Liang Liang Wen Wang Yunjian Jia Shu Fu |
| author_facet | Liang Liang Wen Wang Yunjian Jia Shu Fu |
| author_sort | Liang Liang |
| collection | DOAJ |
| description | Ultra-dense networks (UDNs), which can provide extremely high throughput and data rates, have been considered as one of the key techniques for the fifth generation mobile networks. However, it may cause severe inter-cell interference and significant energy consumption due to numerous base stations (BSs) being randomly deployed. To mitigate the interference and boost energy efficiency (EE) of the UDN effectively, we propose a cluster-based energy-efficient resource allocation scheme in this paper. The proposed scheme has two stages: clustering stage and resource allocation stage. In clustering stage, we use a modified K-means algorithm in BS-clustering process to dynamically adjust the number of BS-clusters based on the density of BSs. Then, in each BS cluster, we divide user equipments (UEs) into multiple UE-groups with minimum intra-cluster interference. In this way, the complexity of resource allocation can be greatly reduced. While in resource allocation stage, we design a two-step resource blocks assignment algorithm and an iterative energy efficient power allocation algorithm based on a non-cooperative game. Furthermore, we implement simulations under the realistic broadband channel propagation conditions and the simulation results show that the proposed approach can effectively mitigate the interference and improve the EE of UDN. |
| first_indexed | 2024-12-14T11:36:24Z |
| format | Article |
| id | doaj.art-6dfdc4ee3e7b431e87ee61804001ad68 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-14T11:36:24Z |
| publishDate | 2016-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-6dfdc4ee3e7b431e87ee61804001ad682022-12-21T23:03:02ZengIEEEIEEE Access2169-35362016-01-0146823683210.1109/ACCESS.2016.26145177579583A Cluster-Based Energy-Efficient Resource Management Scheme for Ultra-Dense NetworksLiang Liang0https://orcid.org/0000-0002-2778-455XWen Wang1Yunjian Jia2https://orcid.org/0000-0002-6404-0947Shu Fu3College of Communication Engineering, Chongqing University, Chongqing, ChinaCollege of Communication Engineering, Chongqing University, Chongqing, ChinaCollege of Communication Engineering, Chongqing University, Chongqing, ChinaCollege of Communication Engineering, Chongqing University, Chongqing, ChinaUltra-dense networks (UDNs), which can provide extremely high throughput and data rates, have been considered as one of the key techniques for the fifth generation mobile networks. However, it may cause severe inter-cell interference and significant energy consumption due to numerous base stations (BSs) being randomly deployed. To mitigate the interference and boost energy efficiency (EE) of the UDN effectively, we propose a cluster-based energy-efficient resource allocation scheme in this paper. The proposed scheme has two stages: clustering stage and resource allocation stage. In clustering stage, we use a modified K-means algorithm in BS-clustering process to dynamically adjust the number of BS-clusters based on the density of BSs. Then, in each BS cluster, we divide user equipments (UEs) into multiple UE-groups with minimum intra-cluster interference. In this way, the complexity of resource allocation can be greatly reduced. While in resource allocation stage, we design a two-step resource blocks assignment algorithm and an iterative energy efficient power allocation algorithm based on a non-cooperative game. Furthermore, we implement simulations under the realistic broadband channel propagation conditions and the simulation results show that the proposed approach can effectively mitigate the interference and improve the EE of UDN.https://ieeexplore.ieee.org/document/7579583/Ultra-dense networkenergy effciencyclusteringgame theory |
| spellingShingle | Liang Liang Wen Wang Yunjian Jia Shu Fu A Cluster-Based Energy-Efficient Resource Management Scheme for Ultra-Dense Networks IEEE Access Ultra-dense network energy effciency clustering game theory |
| title | A Cluster-Based Energy-Efficient Resource Management Scheme for Ultra-Dense Networks |
| title_full | A Cluster-Based Energy-Efficient Resource Management Scheme for Ultra-Dense Networks |
| title_fullStr | A Cluster-Based Energy-Efficient Resource Management Scheme for Ultra-Dense Networks |
| title_full_unstemmed | A Cluster-Based Energy-Efficient Resource Management Scheme for Ultra-Dense Networks |
| title_short | A Cluster-Based Energy-Efficient Resource Management Scheme for Ultra-Dense Networks |
| title_sort | cluster based energy efficient resource management scheme for ultra dense networks |
| topic | Ultra-dense network energy effciency clustering game theory |
| url | https://ieeexplore.ieee.org/document/7579583/ |
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