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dc.contributor.authorShuai Han|Yiteng Huang|Weixiao Meng|Cheng Li|Nuo Xu|Dageng Chenen_US
dc.date.accessioned2013en_US
dc.date.accessioned2021-05-16T17:43:32Z-
dc.date.available2021-05-16T17:43:32Z-
dc.date.issueden_US
dc.identifier.isbn0090-6778en_US
dc.identifier.other10.1109/TCOMM.2018.2877671en_US
dc.identifier.urihttp://localhost/handle/Hannan/716987-
dc.description.abstractSparse code multiple access (SCMA) is a novel type of non-orthogonal multiple access technology that combines the concepts of CDMA and OFDMA. The advantages of SCMA include high capacity, low time delay, and high date rate. In this paper, a power allocation algorithm is proposed for SCMA downlink systems where each tone is taken by more than one user to maximize the system’s sum capacity. In SCMA systems, users are divided into different user groups. Thus, our proposed algorithm includes three-level power allocation. Since the power allocation problem is non-convex, the complexity of finding the optimal solutions is prohibitive. The Lagrange dual decomposition method is employed to efficiently solve the non-convex optimization problem. Results show that the optimized algorithm can significantly improve the sum capacity.en_US
dc.relation.haspart08502712.pdfen_US
dc.subjectOptimal power allocation|convex optimization|maximum capacity|sparse code multiple accessen_US
dc.titleOptimal Power Allocation for SCMA Downlink Systems Based on Maximum Capacityen_US
dc.title.alternativeIEEE Transactions on Communicationsen_US
dc.typeArticleen_US
dc.journal.volumeVolumeen_US
dc.journal.issueIssueen_US
dc.journal.titleIEEE Transactions on Communicationsen_US
Appears in Collections:New Ieee 2019

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Full metadata record
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dc.contributor.authorShuai Han|Yiteng Huang|Weixiao Meng|Cheng Li|Nuo Xu|Dageng Chenen_US
dc.date.accessioned2013en_US
dc.date.accessioned2021-05-16T17:43:32Z-
dc.date.available2021-05-16T17:43:32Z-
dc.date.issueden_US
dc.identifier.isbn0090-6778en_US
dc.identifier.other10.1109/TCOMM.2018.2877671en_US
dc.identifier.urihttp://localhost/handle/Hannan/716987-
dc.description.abstractSparse code multiple access (SCMA) is a novel type of non-orthogonal multiple access technology that combines the concepts of CDMA and OFDMA. The advantages of SCMA include high capacity, low time delay, and high date rate. In this paper, a power allocation algorithm is proposed for SCMA downlink systems where each tone is taken by more than one user to maximize the system’s sum capacity. In SCMA systems, users are divided into different user groups. Thus, our proposed algorithm includes three-level power allocation. Since the power allocation problem is non-convex, the complexity of finding the optimal solutions is prohibitive. The Lagrange dual decomposition method is employed to efficiently solve the non-convex optimization problem. Results show that the optimized algorithm can significantly improve the sum capacity.en_US
dc.relation.haspart08502712.pdfen_US
dc.subjectOptimal power allocation|convex optimization|maximum capacity|sparse code multiple accessen_US
dc.titleOptimal Power Allocation for SCMA Downlink Systems Based on Maximum Capacityen_US
dc.title.alternativeIEEE Transactions on Communicationsen_US
dc.typeArticleen_US
dc.journal.volumeVolumeen_US
dc.journal.issueIssueen_US
dc.journal.titleIEEE Transactions on Communicationsen_US
Appears in Collections:New Ieee 2019

Files in This Item:
File Description SizeFormat 
08502712.pdf1.51 MBAdobe PDFThumbnail
Preview File
Full metadata record
DC FieldValueLanguage
dc.contributor.authorShuai Han|Yiteng Huang|Weixiao Meng|Cheng Li|Nuo Xu|Dageng Chenen_US
dc.date.accessioned2013en_US
dc.date.accessioned2021-05-16T17:43:32Z-
dc.date.available2021-05-16T17:43:32Z-
dc.date.issueden_US
dc.identifier.isbn0090-6778en_US
dc.identifier.other10.1109/TCOMM.2018.2877671en_US
dc.identifier.urihttp://localhost/handle/Hannan/716987-
dc.description.abstractSparse code multiple access (SCMA) is a novel type of non-orthogonal multiple access technology that combines the concepts of CDMA and OFDMA. The advantages of SCMA include high capacity, low time delay, and high date rate. In this paper, a power allocation algorithm is proposed for SCMA downlink systems where each tone is taken by more than one user to maximize the system’s sum capacity. In SCMA systems, users are divided into different user groups. Thus, our proposed algorithm includes three-level power allocation. Since the power allocation problem is non-convex, the complexity of finding the optimal solutions is prohibitive. The Lagrange dual decomposition method is employed to efficiently solve the non-convex optimization problem. Results show that the optimized algorithm can significantly improve the sum capacity.en_US
dc.relation.haspart08502712.pdfen_US
dc.subjectOptimal power allocation|convex optimization|maximum capacity|sparse code multiple accessen_US
dc.titleOptimal Power Allocation for SCMA Downlink Systems Based on Maximum Capacityen_US
dc.title.alternativeIEEE Transactions on Communicationsen_US
dc.typeArticleen_US
dc.journal.volumeVolumeen_US
dc.journal.issueIssueen_US
dc.journal.titleIEEE Transactions on Communicationsen_US
Appears in Collections:New Ieee 2019

Files in This Item:
File Description SizeFormat 
08502712.pdf1.51 MBAdobe PDFThumbnail
Preview File