Deep and robust resource allocation for random access network based with imperfect CSI
A deep and robust resource allocation framework was proposed for the random access based wireless networks,where both the communication channel state information (C-CSI) and the interference channel state information (I-CSI) were uncertain.The proposed resource allocation framework considered the op...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2020-07-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2020148/ |
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| _version_ | 1841539260702785536 |
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| author | Weihua WU Guanhua CHAI Qinghai YANG Runzi LIU |
| author_facet | Weihua WU Guanhua CHAI Qinghai YANG Runzi LIU |
| author_sort | Weihua WU |
| collection | DOAJ |
| description | A deep and robust resource allocation framework was proposed for the random access based wireless networks,where both the communication channel state information (C-CSI) and the interference channel state information (I-CSI) were uncertain.The proposed resource allocation framework considered the optimization objective of wireless networks as a learning problem and employs deep neural network (DNN) to approximate optimal resource allocation policy through unsupervised manner.By modeling the uncertainties of CSI as ellipsoid sets,two concatenated DNN units were proposed,where the first was uncertain CSI processing unit and the second was the power control unit.Then,an alternating iterative training algorithm was developed to jointly train the two concatenated DNN units.Finally,the simulations verify the effectiveness of the proposed robust leaning approach over the nonrobust one. |
| format | Article |
| id | doaj-art-19e7187894b94e50b3a2bfb9b72092dd |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2020-07-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-19e7187894b94e50b3a2bfb9b72092dd2025-01-14T07:19:37ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2020-07-0141293759736433Deep and robust resource allocation for random access network based with imperfect CSIWeihua WUGuanhua CHAIQinghai YANGRunzi LIUA deep and robust resource allocation framework was proposed for the random access based wireless networks,where both the communication channel state information (C-CSI) and the interference channel state information (I-CSI) were uncertain.The proposed resource allocation framework considered the optimization objective of wireless networks as a learning problem and employs deep neural network (DNN) to approximate optimal resource allocation policy through unsupervised manner.By modeling the uncertainties of CSI as ellipsoid sets,two concatenated DNN units were proposed,where the first was uncertain CSI processing unit and the second was the power control unit.Then,an alternating iterative training algorithm was developed to jointly train the two concatenated DNN units.Finally,the simulations verify the effectiveness of the proposed robust leaning approach over the nonrobust one.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2020148/deep neural networkrandom access networkrobust optimizationwireless resource allocation |
| spellingShingle | Weihua WU Guanhua CHAI Qinghai YANG Runzi LIU Deep and robust resource allocation for random access network based with imperfect CSI Tongxin xuebao deep neural network random access network robust optimization wireless resource allocation |
| title | Deep and robust resource allocation for random access network based with imperfect CSI |
| title_full | Deep and robust resource allocation for random access network based with imperfect CSI |
| title_fullStr | Deep and robust resource allocation for random access network based with imperfect CSI |
| title_full_unstemmed | Deep and robust resource allocation for random access network based with imperfect CSI |
| title_short | Deep and robust resource allocation for random access network based with imperfect CSI |
| title_sort | deep and robust resource allocation for random access network based with imperfect csi |
| topic | deep neural network random access network robust optimization wireless resource allocation |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2020148/ |
| work_keys_str_mv | AT weihuawu deepandrobustresourceallocationforrandomaccessnetworkbasedwithimperfectcsi AT guanhuachai deepandrobustresourceallocationforrandomaccessnetworkbasedwithimperfectcsi AT qinghaiyang deepandrobustresourceallocationforrandomaccessnetworkbasedwithimperfectcsi AT runziliu deepandrobustresourceallocationforrandomaccessnetworkbasedwithimperfectcsi |