DNN-based Sub-6 GHz assisted millimeter wave network power allocation algorithm
Aimed at the problems of the signaling cost and power consumption in the power control measurement of the millimeter wave system, as well as the complexity caused by iteration operations, a millimeter wave link power allocation prediction algorithm using the Sub-6 GHz frequency band was proposed.Fir...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2021-09-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2021170/ |
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| _version_ | 1841539275068276736 |
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| author | Changyin SUN Liyan LIU Fan JIANG Jing JIANG |
| author_facet | Changyin SUN Liyan LIU Fan JIANG Jing JIANG |
| author_sort | Changyin SUN |
| collection | DOAJ |
| description | Aimed at the problems of the signaling cost and power consumption in the power control measurement of the millimeter wave system, as well as the complexity caused by iteration operations, a millimeter wave link power allocation prediction algorithm using the Sub-6 GHz frequency band was proposed.Firstly, the mapping between the Sub-6 GHz band channel information and the optimal power allocation of the millimeter wave band was analyzed.Then, a deep neural network (DNN) model was utilized to realize this mapping function.To predict the power allocation of millimeter wave channel with Sub-6 GHz channel as input, the neural network was trained with the weighted mean square error minimization method (WMMSE) as the supervisor in different scenarios.The simulation results show that compared with the WMMSE algorithm in millimeter wave band, the proposed algorithm can obtain more than 97% of its sum-rate performance while taking less than 0.1% of the time. |
| format | Article |
| id | doaj-art-52a173a2e3df4e7ca31f9d6984ce07c6 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2021-09-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-52a173a2e3df4e7ca31f9d6984ce07c62025-01-14T07:22:47ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2021-09-014218419359744913DNN-based Sub-6 GHz assisted millimeter wave network power allocation algorithmChangyin SUNLiyan LIUFan JIANGJing JIANGAimed at the problems of the signaling cost and power consumption in the power control measurement of the millimeter wave system, as well as the complexity caused by iteration operations, a millimeter wave link power allocation prediction algorithm using the Sub-6 GHz frequency band was proposed.Firstly, the mapping between the Sub-6 GHz band channel information and the optimal power allocation of the millimeter wave band was analyzed.Then, a deep neural network (DNN) model was utilized to realize this mapping function.To predict the power allocation of millimeter wave channel with Sub-6 GHz channel as input, the neural network was trained with the weighted mean square error minimization method (WMMSE) as the supervisor in different scenarios.The simulation results show that compared with the WMMSE algorithm in millimeter wave band, the proposed algorithm can obtain more than 97% of its sum-rate performance while taking less than 0.1% of the time.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2021170/millimeter wave communicationpower allocationdeep learningneural network |
| spellingShingle | Changyin SUN Liyan LIU Fan JIANG Jing JIANG DNN-based Sub-6 GHz assisted millimeter wave network power allocation algorithm Tongxin xuebao millimeter wave communication power allocation deep learning neural network |
| title | DNN-based Sub-6 GHz assisted millimeter wave network power allocation algorithm |
| title_full | DNN-based Sub-6 GHz assisted millimeter wave network power allocation algorithm |
| title_fullStr | DNN-based Sub-6 GHz assisted millimeter wave network power allocation algorithm |
| title_full_unstemmed | DNN-based Sub-6 GHz assisted millimeter wave network power allocation algorithm |
| title_short | DNN-based Sub-6 GHz assisted millimeter wave network power allocation algorithm |
| title_sort | dnn based sub 6 ghz assisted millimeter wave network power allocation algorithm |
| topic | millimeter wave communication power allocation deep learning neural network |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2021170/ |
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