Show simple item record

dc.contributor.authorZhao, Nan
dc.contributor.authorPang, Xiaowei
dc.contributor.authorLi, Zan
dc.contributor.authorChen, Yunfei
dc.contributor.authorLi, Feng
dc.contributor.authorDing, Zhiguo
dc.contributor.authorAlouini, Mohamed-Slim
dc.date.accessioned2019-02-10T08:14:29Z
dc.date.available2019-02-10T08:14:29Z
dc.date.issued2019-01-29
dc.identifier.citationZhao N, Pang X, Li Z, Chen Y, Li F, et al. (2019) Joint Trajectory and Precoding Optimization for UAV-Assisted NOMA Networks. IEEE Transactions on Communications: 1–1. Available: http://dx.doi.org/10.1109/tcomm.2019.2895831.
dc.identifier.issn0090-6778
dc.identifier.issn1558-0857
dc.identifier.doi10.1109/tcomm.2019.2895831
dc.identifier.urihttp://hdl.handle.net/10754/631011
dc.description.abstractThe explosive data traffic and connections in 5G networks require the use of non-orthogonal multiple access (NOMA) to accommodate more users. Unmanned aerial vehicle (UAV) can be exploited with NOMA to improve the situation further. In this paper, we propose a UAV-assisted NOMA network, in which the UAV and base station (BS) cooperate with each other to serve ground users simultaneously. The sum rate is maximized by jointly optimizing the UAV trajectory and the NOMA precoding. To solve the optimization, we decompose it into two steps. First, the sum rate of the UAV-served users is maximized via alternate user scheduling and UAV trajectory, with its interference to the BS-served users below a threshold. Then, the optimal NOMA precoding vectors are obtained using two schemes with different constraints. The first scheme intends to cancel the interference from the BS to the UAV-served user, while the second one restricts the interference to a given threshold. In both schemes, non-convex optimization problems are converted into tractable ones. An iterative algorithm is designed. Numerical results are provided to evaluate the effectiveness of the proposed algorithms for the hybrid NOMA and UAV network.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.urlhttps://ieeexplore.ieee.org/document/8629316
dc.rights(c) 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
dc.subjectInterference avoidance
dc.subjectnon-orthogonal multiple access
dc.subjectprecoding
dc.subjecttrajectory optimization
dc.subjectunmanned aerial vehicle
dc.titleJoint Trajectory and Precoding Optimization for UAV-Assisted NOMA Networks
dc.typeArticle
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentElectrical Engineering Program
dc.identifier.journalIEEE Transactions on Communications
dc.eprint.versionPost-print
dc.contributor.institutionState Key Laboratory of Integrated Services Networks, \nXidian University, Xi’an, 710071, P. R. China.
dc.contributor.institutionSchool of Information and Communication Engineering, Dalian University of Technology, Dalian 116024, P. R. China.
dc.contributor.institutionSchool of Engineering, University of Warwick, Coventry CV4 7AL, U.K.
dc.contributor.institutionCollege of Information Engineering, Zhejiang University \nof Technology, Hangzhou, 310023, P. R. China.
dc.contributor.institutionSchool of Electrical and Electronic Engineering, The University of Manchester, Manchester, M13 9PL, U.K.
kaust.personAlouini, Mohamed-Slim
refterms.dateFOA2021-01-29T00:00:00Z
dc.date.published-online2019-01-29
dc.date.published-print2019-05


Files in this item

Thumbnail
Name:
08629316.pdf
Size:
3.058Mb
Format:
PDF

This item appears in the following Collection(s)

Show simple item record