Energy-Efficient Resources Allocation With Millimeter-Wave Massive Mimo in Ultra Dense Hetnets by Swipt and Comp

dc.contributor.author Yonghong Dai, Bin Li,
dc.contributor.author Panayırcı, Erdal
dc.contributor.author Dong, Zhicheng
dc.contributor.author Panayırcı, Erdal
dc.contributor.author Jiang, Huilin
dc.contributor.author Jiang, Hao
dc.contributor.other Electrical-Electronics Engineering
dc.date.accessioned 2021-07-17T17:39:52Z
dc.date.available 2021-07-17T17:39:52Z
dc.date.issued 2021
dc.description.abstract Ultra-dense HetNets (UDN)-based Millimeter-Wave (mmWave) massive MIMO is considered a promising technology for 5th generation (5G) wireless communications systems since it can offer massively available bandwidth and improve energy efficiency (EE) substantially. However, in UDN, the power consumption of the system increases sharply with the increase of network density. In this paper, we investigate the optimization of the EE in the mmWave massive MIMO systems with UDN. To develop the functions of massive MIMO, we first propose a system model where the massive MIMO harvests electromagnetic energy from the environment employing simultaneous wireless information and power transfer (SWIPT) technology, implemented at the base station (BS). Then, the EE optimization problem is formulated for 5G mmWave massive MIMO systems within the UDN. Considering the nonconcave feature of the objective function, an iterative EE algorithm is developed, based on Dinkelbach method. To utilize the role of coordinated multi-point transmission and reception (CoMP) for improving the EE, a coordinated user(UE)-BS association algorithm-based CoMP with maximum energy efficiency (MaxEE) is proposed. The simulation results demonstrate that the proposed algorithm has a substantially faster convergence rate and is very effective, compared with existing methods. en_US
dc.identifier.citationcount 28
dc.identifier.doi 10.1109/TWC.2021.3058776 en_US
dc.identifier.issn 1536-1276 en_US
dc.identifier.issn 1536-1276
dc.identifier.scopus 2-s2.0-85101732734 en_US
dc.identifier.scopusquality Q1
dc.identifier.uri https://hdl.handle.net/20.500.12469/4072
dc.identifier.wos WOS:000671527500027 en_US
dc.identifier.wosquality Q1
dc.institutionauthor Panayırcı, Erdal en_US
dc.language.iso en en_US
dc.publisher Institute of Electrical and Electronics Engineers Inc. en_US
dc.relation.journal IEEE Transactions on Wireless Communications en_US
dc.relation.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.scopus.citedbyCount 43
dc.subject 5G mobile communication en_US
dc.subject Antennas en_US
dc.subject CoMP en_US
dc.subject Energy efficiency en_US
dc.subject Massive MIMO en_US
dc.subject Millimeter-Wave Communcation en_US
dc.subject Optimization en_US
dc.subject Power demand en_US
dc.subject Resource management en_US
dc.subject SWIPT BS en_US
dc.subject Ultra dense HetNet en_US
dc.subject Wireless communication en_US
dc.title Energy-Efficient Resources Allocation With Millimeter-Wave Massive Mimo in Ultra Dense Hetnets by Swipt and Comp en_US
dc.type Article en_US
dc.wos.citedbyCount 35
dspace.entity.type Publication
relation.isAuthorOfPublication 5371ab5d-9cd9-4d1f-8681-a65b3d5d6add
relation.isAuthorOfPublication.latestForDiscovery 5371ab5d-9cd9-4d1f-8681-a65b3d5d6add
relation.isOrgUnitOfPublication 12b0068e-33e6-48db-b92a-a213070c3a8d
relation.isOrgUnitOfPublication.latestForDiscovery 12b0068e-33e6-48db-b92a-a213070c3a8d

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