Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/589621
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dc.contributor.authorYanyao Shenen_US
dc.contributor.authorChunxiao Jiangen_US
dc.contributor.authorTony Q. S. Queken_US
dc.contributor.authorYong Renen_US
dc.date.accessioned2020-05-20T08:40:51Z-
dc.date.available2020-05-20T08:40:51Z-
dc.date.issued2016en_US
dc.identifier.issn1536-1276en_US
dc.identifier.other10.1109/TWC.2015.2492967en_US
dc.identifier.urihttp://localhost/handle/Hannan/168502en_US
dc.identifier.urihttp://localhost/handle/Hannan/589621-
dc.descriptionen_US
dc.description.abstractCellular network is widely used and device-to-device (D2D)-assisted approaches have been proposed for improving performance on spectrum efficiency, overall throughput and energy efficiency. However, few of them have considered the downlink transmission for multiple concurrent devices from an energy efficiency perspective. In this paper, we focus on a D2D-assisted cellular communication in video stream sharing scenario. Two energy saving solutions for downlink transmission are proposed with constraint on D2D cluster's energy consumption. We take peak signal-to-noise ratio (PSNR) as the measurement for video quality and consider both the downlink transmission energy and reception energy. In particular, we propose the D2D cluster formation approach and the D2D caching performance both for the purpose of energy saving, with distributed merge-and-split algorithm adopted from the perspective of coalition game theory and a relaxation factor defined to give constraints on total energy consumption for each cluster. Both D2D cluster and D2D caching approaches are effective for energy saving for the BS combined with all user devices; however, D2D cluster brings an unfairness problem between the cluster head and other cluster nodes. Therefore, we compare the two approaches on energy saving performance as well as fairness measurement. Moreover, a centralized algorithm for D2D cluster is also proposed as a benchmark for the distributed D2D cluster algorithm. Simulation result shows considerable amount of energy saving in the proposed D2D cluster and caching assisted cellular network for video stream sharing problem.en_US
dc.publisherIEEEen_US
dc.relation.haspart7302062.pdfen_US
dc.subjectdistributed algorithm|D2D cluster|video transmission|D2D caching|energy saving|Downlink transmission,en_US
dc.titleDevice-to-Device-Assisted Communications in Cellular Networks: An Energy Efficient Approach in Downlink Video Sharing Scenarioen_US
dc.typeArticleen_US
dc.journal.volume15en_US
dc.journal.issue2en_US
dc.journal.titleIEEE Transactions on Wireless Communicationsen_US
Appears in Collections:2016

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Full metadata record
DC FieldValueLanguage
dc.contributor.authorYanyao Shenen_US
dc.contributor.authorChunxiao Jiangen_US
dc.contributor.authorTony Q. S. Queken_US
dc.contributor.authorYong Renen_US
dc.date.accessioned2020-05-20T08:40:51Z-
dc.date.available2020-05-20T08:40:51Z-
dc.date.issued2016en_US
dc.identifier.issn1536-1276en_US
dc.identifier.other10.1109/TWC.2015.2492967en_US
dc.identifier.urihttp://localhost/handle/Hannan/168502en_US
dc.identifier.urihttp://localhost/handle/Hannan/589621-
dc.descriptionen_US
dc.description.abstractCellular network is widely used and device-to-device (D2D)-assisted approaches have been proposed for improving performance on spectrum efficiency, overall throughput and energy efficiency. However, few of them have considered the downlink transmission for multiple concurrent devices from an energy efficiency perspective. In this paper, we focus on a D2D-assisted cellular communication in video stream sharing scenario. Two energy saving solutions for downlink transmission are proposed with constraint on D2D cluster's energy consumption. We take peak signal-to-noise ratio (PSNR) as the measurement for video quality and consider both the downlink transmission energy and reception energy. In particular, we propose the D2D cluster formation approach and the D2D caching performance both for the purpose of energy saving, with distributed merge-and-split algorithm adopted from the perspective of coalition game theory and a relaxation factor defined to give constraints on total energy consumption for each cluster. Both D2D cluster and D2D caching approaches are effective for energy saving for the BS combined with all user devices; however, D2D cluster brings an unfairness problem between the cluster head and other cluster nodes. Therefore, we compare the two approaches on energy saving performance as well as fairness measurement. Moreover, a centralized algorithm for D2D cluster is also proposed as a benchmark for the distributed D2D cluster algorithm. Simulation result shows considerable amount of energy saving in the proposed D2D cluster and caching assisted cellular network for video stream sharing problem.en_US
dc.publisherIEEEen_US
dc.relation.haspart7302062.pdfen_US
dc.subjectdistributed algorithm|D2D cluster|video transmission|D2D caching|energy saving|Downlink transmission,en_US
dc.titleDevice-to-Device-Assisted Communications in Cellular Networks: An Energy Efficient Approach in Downlink Video Sharing Scenarioen_US
dc.typeArticleen_US
dc.journal.volume15en_US
dc.journal.issue2en_US
dc.journal.titleIEEE Transactions on Wireless Communicationsen_US
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7302062.pdf1.57 MBAdobe PDFThumbnail
Preview File
Full metadata record
DC FieldValueLanguage
dc.contributor.authorYanyao Shenen_US
dc.contributor.authorChunxiao Jiangen_US
dc.contributor.authorTony Q. S. Queken_US
dc.contributor.authorYong Renen_US
dc.date.accessioned2020-05-20T08:40:51Z-
dc.date.available2020-05-20T08:40:51Z-
dc.date.issued2016en_US
dc.identifier.issn1536-1276en_US
dc.identifier.other10.1109/TWC.2015.2492967en_US
dc.identifier.urihttp://localhost/handle/Hannan/168502en_US
dc.identifier.urihttp://localhost/handle/Hannan/589621-
dc.descriptionen_US
dc.description.abstractCellular network is widely used and device-to-device (D2D)-assisted approaches have been proposed for improving performance on spectrum efficiency, overall throughput and energy efficiency. However, few of them have considered the downlink transmission for multiple concurrent devices from an energy efficiency perspective. In this paper, we focus on a D2D-assisted cellular communication in video stream sharing scenario. Two energy saving solutions for downlink transmission are proposed with constraint on D2D cluster's energy consumption. We take peak signal-to-noise ratio (PSNR) as the measurement for video quality and consider both the downlink transmission energy and reception energy. In particular, we propose the D2D cluster formation approach and the D2D caching performance both for the purpose of energy saving, with distributed merge-and-split algorithm adopted from the perspective of coalition game theory and a relaxation factor defined to give constraints on total energy consumption for each cluster. Both D2D cluster and D2D caching approaches are effective for energy saving for the BS combined with all user devices; however, D2D cluster brings an unfairness problem between the cluster head and other cluster nodes. Therefore, we compare the two approaches on energy saving performance as well as fairness measurement. Moreover, a centralized algorithm for D2D cluster is also proposed as a benchmark for the distributed D2D cluster algorithm. Simulation result shows considerable amount of energy saving in the proposed D2D cluster and caching assisted cellular network for video stream sharing problem.en_US
dc.publisherIEEEen_US
dc.relation.haspart7302062.pdfen_US
dc.subjectdistributed algorithm|D2D cluster|video transmission|D2D caching|energy saving|Downlink transmission,en_US
dc.titleDevice-to-Device-Assisted Communications in Cellular Networks: An Energy Efficient Approach in Downlink Video Sharing Scenarioen_US
dc.typeArticleen_US
dc.journal.volume15en_US
dc.journal.issue2en_US
dc.journal.titleIEEE Transactions on Wireless Communicationsen_US
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7302062.pdf1.57 MBAdobe PDFThumbnail
Preview File