A Low Complexity Algorithm of Dynamic Resource Allocation for Downlink Multi-Carrier NOMA Systems

This paper investigates the sub-channels and power allocation issue in the multi-carrier NOMA communication system. To maximize the sum rate of the system, we design a fast dynamic resource allocation (FDRA) algorithm. The algorithm can quickly identify the interference nodes with poor channel condi...

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Veröffentlicht in:IEEE transactions on vehicular technology Jg. 70; H. 12; S. 13418 - 13423
Hauptverfasser: Hu, Yingmeng, Liu, Rongke, Bian, Hongxiu, Gao, Xiangqiang
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 01.12.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Algorithms
Channel capacity
Communications systems
Complexity
Complexity theory
Downlinking
Genetic algorithms
low decoding complexity
multi-carrier technology
NOMA
QoS
Quality of service
Resource allocation
Resource management
ISSN:0018-9545, 1939-9359
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Abstract This paper investigates the sub-channels and power allocation issue in the multi-carrier NOMA communication system. To maximize the sum rate of the system, we design a fast dynamic resource allocation (FDRA) algorithm. The algorithm can quickly identify the interference nodes with poor channel conditions, and reduces the search complexity of the algorithm. By jointly optimizing sub-carrier and power resource allocation, the proposed scheme can take full advantage of the channel capacity, and maximize the system performance while ensuring the quality of service (QoS) of each user. Simulation results show that when compared with the joint resource allocation (JRA) algorithm and the genetic algorithm (GA), the FDRA algorithm can achieve the best performance on the complexity and the sum rate of the system. Thus, the proposed algorithm can provide a fast and efficient resource allocation scheme for the downlink multi-carrier NOMA systems.
AbstractList This paper investigates the sub-channels and power allocation issue in the multi-carrier NOMA communication system. To maximize the sum rate of the system, we design a fast dynamic resource allocation (FDRA) algorithm. The algorithm can quickly identify the interference nodes with poor channel conditions, and reduces the search complexity of the algorithm. By jointly optimizing sub-carrier and power resource allocation, the proposed scheme can take full advantage of the channel capacity, and maximize the system performance while ensuring the quality of service (QoS) of each user. Simulation results show that when compared with the joint resource allocation (JRA) algorithm and the genetic algorithm (GA), the FDRA algorithm can achieve the best performance on the complexity and the sum rate of the system. Thus, the proposed algorithm can provide a fast and efficient resource allocation scheme for the downlink multi-carrier NOMA systems.
Author Bian, Hongxiu
Gao, Xiangqiang
Hu, Yingmeng
Liu, Rongke
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crossref_primary_10_1109_TVT_2025_3546243
Cites_doi 10.1109/MWC.2018.1700099
10.1109/JSAC.2017.2725519
10.1109/TVT.2020.3007716
10.1109/MWC.01.1900529
10.1109/LWC.2019.2906170
10.1109/GLOCOMW.2014.7063568
10.1109/JCN.2014.000091
10.1109/TBC.2015.2389692
10.1109/TVT.2020.3017249
10.1109/TVT.2019.2926701
10.1109/JSAC.2017.2724646
10.1109/LCOMM.2020.3004418
10.1109/TGCN.2020.2982835
10.1109/LWC.2019.2897796
10.1109/TVT.2019.2943701
10.1109/JSAC.2019.2933762
10.1109/LCOMM.2016.2612688
10.1109/TVT.2019.2956224
10.1109/JSAC.2018.2872397
10.1109/TCOMM.2016.2640307
10.1109/MCOM.2012.6295726
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References ref13
ref12
ref15
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ref16
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  doi: 10.1109/JSAC.2017.2725519
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  doi: 10.1109/TVT.2019.2943701
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  doi: 10.1109/JSAC.2019.2933762
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  doi: 10.1109/LCOMM.2016.2612688
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  doi: 10.1109/TVT.2019.2956224
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  doi: 10.1109/JSAC.2018.2872397
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SubjectTerms Algorithms
Channel capacity
Communications systems
Complexity
Complexity theory
Downlinking
Genetic algorithms
low decoding complexity
multi-carrier technology
NOMA
QoS
Quality of service
Resource allocation
Resource management
Title A Low Complexity Algorithm of Dynamic Resource Allocation for Downlink Multi-Carrier NOMA Systems
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