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Fog Computing-Assisted Energy-Efficient Resource Allocation for High-Mobility MIMO-OFDMA Networks

dc.contributor.authorLu, Lingyun
dc.contributor.authorWang, Tian
dc.contributor.authorNi, Wei
dc.contributor.authorLi, Kai
dc.contributor.authorGao, Bo
dc.date.accessioned2019-01-03T16:06:02Z
dc.date.available2019-01-03T16:06:02Z
dc.date.issued2018
dc.description.abstractThis paper presents a suboptimal approach for resource allocation of massive MIMO-OFDMA systems for high-speed train (HST) applications. An optimization problem is formulated to alleviate the severe Doppler effect and maximize the energy efficiency (EE) of the system. We propose to decouple the problem between the allocations of antennas, subcarriers, and transmit powers and solve the problem by carrying out the allocations separately and iteratively in an alternating manner. Fast convergence can be achieved for the proposed approach within only several iterations. Simulation results show that the proposed algorithm is superior to existing techniques in terms of system EE and throughput in different system configurations of HST applications.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1155/2018/5296406pt_PT
dc.identifier.issn1530-8677
dc.identifier.urihttp://hdl.handle.net/10400.22/12505
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherHindawi Publishing Corporationpt_PT
dc.relation.publisherversionhttps://www.hindawi.com/journals/wcmc/2018/5296406/pt_PT
dc.titleFog Computing-Assisted Energy-Efficient Resource Allocation for High-Mobility MIMO-OFDMA Networkspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage8pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titleWireless Communications and Mobile Computingpt_PT
oaire.citation.volume2018pt_PT
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT

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