Resource Allocation for D2D Cellular Networks With QoS Constraints: A DC Programming- Based Approach

Simple item page
dc.contributor.authorHao-Hsuan Changen
dc.contributor.authorLiu, Lingjiaen
dc.contributor.authorBai, Jiananen
dc.contributor.authorPidwerbetsky, Alexen
dc.contributor.authorBerlinsky, Allanen
dc.contributor.authorHuang, Joeen
dc.contributor.authorAshdown, Jonathan D.en
dc.contributor.authorTurck, Kurten
dc.contributor.authorYi, Yangen
dc.date.accessioned2022-08-25T13:03:11Zen
dc.date.available2022-08-25T13:03:11Zen
dc.date.issued2021-12-01en
dc.description.abstractDevice-to-device (D2D) communications provide efficient ways to increase spectrum utilization ratio with reduced power consumption for proximity wireless applications. In this paper, we investigate resource allocation strategies for D2D communications underlaying cellular networks. To be specific, we study the centralized resource allocation algorithm for controlling transmit powers of the underlying D2D pairs in order to maximize the weighted sum-rate while guaranteeing the quality of service (QoS) requirements for both D2D pairs and cellular users (CUs). A novel DC (difference of convex function) programming-based method, called alternative DC (ADC) programming, is introduced to effectively solve this complicated resource allocation problem. Through updating each D2D pair's power alternatively, the QoS requirement for each D2D pair can be solvable and incorporated systematically to the introduced ADC programming framework. The simulation results show that the introduced ADC programming achieves the highest weighted sum-rate compared to the state-of-the-art methods while ensuring that the QoS of each D2D pair and CU are satisfied.en
dc.description.notesThis material is based upon work funded by Air Force Research Laboratory (AFRL) through the National Spectrum Consortium under contract number NSC-17-7030. Approved for public release (reference number: 88ABW-2019-1851).en
dc.description.sponsorshipAir Force Research Laboratory (AFRL) through the National Spectrum Consortium [NSC-17-7030, 88ABW-2019-1851]en
dc.description.versionPublished versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.1109/ACCESS.2021.3132260en
dc.identifier.issn2169-3536en
dc.identifier.urihttp://hdl.handle.net/10919/111640en
dc.identifier.volume10en
dc.language.isoenen
dc.publisherIEEEen
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectDevice-to-device communicationen
dc.subjectProgrammingen
dc.subjectQuality of serviceen
dc.subjectResource managementen
dc.subjectCopperen
dc.subjectCellular networksen
dc.subjectInterferenceen
dc.subjectD2D communicationsen
dc.subjectresource allocationen
dc.subjectpower controlen
dc.subjectDC programmingen
dc.titleResource Allocation for D2D Cellular Networks With QoS Constraints: A DC Programming- Based Approachen
dc.title.serialIEEE Accessen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
ChangResource2022.pdf
Size:
2.39 MB
Format:
Adobe Portable Document Format
Description:
Published version
Download

Collections

Scholarly Works, Electrical and Computer Engineering