Energy Efficient Power Allocation Based on Machine Learning Generated Clusters for Distributed Antenna Systems
In this paper, we consider the combination of machine learning (ML) and wireless communication. We design a machine learning generated clusters model in a distributed antenna system (DAS), which is constructed by two different ML clustering algorithms, i.e., k-means algorithm and Gaussian mixture mo...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8703037/ |
| _version_ | 1818323848704032768 |
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| author | Chunlong He Yuehua Zhou Gongbin Qian Xingquan Li Daquan Feng |
| author_facet | Chunlong He Yuehua Zhou Gongbin Qian Xingquan Li Daquan Feng |
| author_sort | Chunlong He |
| collection | DOAJ |
| description | In this paper, we consider the combination of machine learning (ML) and wireless communication. We design a machine learning generated clusters model in a distributed antenna system (DAS), which is constructed by two different ML clustering algorithms, i.e., k-means algorithm and Gaussian mixture model-based (GMM) algorithm. Under the communication scenario of DAS with ML generated clusters model, we investigate two different power allocation optimization problems with the interference of maximizing spectral efficiency (SE) and energy efficiency (EE) in DAS, respectively. We compare the SE and EE of DAS with ML generated clusters model and the conventional model. The simulation results verify the effectiveness of DAS with ML generated clusters model, which can obtain the much better performance of SE and EE compared with the conventional communication model in DAS. |
| first_indexed | 2024-12-13T11:19:13Z |
| format | Article |
| id | doaj.art-f868b5e3bad34f1d9a8b34e0abc7e794 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-13T11:19:13Z |
| publishDate | 2019-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-f868b5e3bad34f1d9a8b34e0abc7e7942022-12-21T23:48:32ZengIEEEIEEE Access2169-35362019-01-017595755958410.1109/ACCESS.2019.29141598703037Energy Efficient Power Allocation Based on Machine Learning Generated Clusters for Distributed Antenna SystemsChunlong He0https://orcid.org/0000-0003-4316-0672Yuehua Zhou1Gongbin Qian2https://orcid.org/0000-0003-2935-0808Xingquan Li3Daquan Feng4College of Information Engineering, Shenzhen University, Shenzhen, ChinaCollege of Information Engineering, Shenzhen University, Shenzhen, ChinaCollege of Information Engineering, Shenzhen University, Shenzhen, ChinaCollege of Information Engineering, Shenzhen University, Shenzhen, ChinaCollege of Information Engineering, Shenzhen University, Shenzhen, ChinaIn this paper, we consider the combination of machine learning (ML) and wireless communication. We design a machine learning generated clusters model in a distributed antenna system (DAS), which is constructed by two different ML clustering algorithms, i.e., k-means algorithm and Gaussian mixture model-based (GMM) algorithm. Under the communication scenario of DAS with ML generated clusters model, we investigate two different power allocation optimization problems with the interference of maximizing spectral efficiency (SE) and energy efficiency (EE) in DAS, respectively. We compare the SE and EE of DAS with ML generated clusters model and the conventional model. The simulation results verify the effectiveness of DAS with ML generated clusters model, which can obtain the much better performance of SE and EE compared with the conventional communication model in DAS.https://ieeexplore.ieee.org/document/8703037/Machine learningspectral efficiencyenergy efficiencyk-meansmixture of Gaussian modeldistributed antenna system |
| spellingShingle | Chunlong He Yuehua Zhou Gongbin Qian Xingquan Li Daquan Feng Energy Efficient Power Allocation Based on Machine Learning Generated Clusters for Distributed Antenna Systems IEEE Access Machine learning spectral efficiency energy efficiency k-means mixture of Gaussian model distributed antenna system |
| title | Energy Efficient Power Allocation Based on Machine Learning Generated Clusters for Distributed Antenna Systems |
| title_full | Energy Efficient Power Allocation Based on Machine Learning Generated Clusters for Distributed Antenna Systems |
| title_fullStr | Energy Efficient Power Allocation Based on Machine Learning Generated Clusters for Distributed Antenna Systems |
| title_full_unstemmed | Energy Efficient Power Allocation Based on Machine Learning Generated Clusters for Distributed Antenna Systems |
| title_short | Energy Efficient Power Allocation Based on Machine Learning Generated Clusters for Distributed Antenna Systems |
| title_sort | energy efficient power allocation based on machine learning generated clusters for distributed antenna systems |
| topic | Machine learning spectral efficiency energy efficiency k-means mixture of Gaussian model distributed antenna system |
| url | https://ieeexplore.ieee.org/document/8703037/ |
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