CARES: computation-aware scheduling in virtualized radio access networks

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dc.contributor.author Bega, Dario
dc.contributor.author Banchs Roca, Albert
dc.contributor.author Gramaglia, Marco
dc.contributor.author Costa-Pérez, Xavier
dc.contributor.author Rost, Peter
dc.date.accessioned 2019-03-20T10:53:50Z
dc.date.available 2019-03-20T10:53:50Z
dc.date.issued 2018-10-11
dc.identifier.bibliographicCitation IEEE transactions on wireless communications, 17(12), pp. 7993-8006
dc.identifier.issn 1536-1276
dc.identifier.uri http://hdl.handle.net/10016/28220
dc.description.abstract In a virtualized Radio Access Network (RAN), baseband processing is performed by software running in cloudcomputing platforms. However, current protocol stacks were not designed to run in this kind of environments: the high variability on the computational resources consumed by RAN functions may lead to eventual computational outages (where frames are not decoded on time), severely degrading the resulting performance. In this paper, we address this issue by re-designing two key functions of the protocol stack: (i) scheduling, to select the transmission of those frames that do not incur in computational outages, and (ii) modulation and coding scheme (MCS) selection, to downgrade the selected MCS in case no sufficient computational resources are available. We formulate the resulting problem as a joint optimization and compute the (asymptotically) optimal solution to this problem. We further show that this solution involves solving an NP-hard problem, and propose an algorithm to obtain an approximate solution that is computationally efficient while providing bounded performance over the optimal. We thoroughly evaluate the proposed approach via simulation, showing that it can provide savings as high as 80% of the computational resources while paying a small price in performance.
dc.description.sponsorship The work of University Carlos III of Madrid was supported by the H2020 5G-MoNArch project (Grant Agreement No. 761445) and the work of NEC Europe Ltd. by the 5G-Transformer project (Grant Agreement No. 761536).
dc.format.extent 14
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher IEEE
dc.rights © 2018 IEEE.
dc.subject.other Processor scheduling
dc.subject.other Computational modeling
dc.subject.other Signal to noise ratio
dc.subject.other Baseband
dc.subject.other Cloud computing
dc.subject.other Radio access networks
dc.subject.other Protocols
dc.subject.other 5G
dc.subject.other Computation-aware scheduling
dc.subject.other Virtualized
dc.subject.other Ran
dc.subject.other Joint scheduling
dc.subject.other Mcs selection
dc.title CARES: computation-aware scheduling in virtualized radio access networks
dc.type article
dc.identifier.doi https://doi.org/10.1109/TWC.2018.2873324
dc.rights.accessRights openAccess
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/761445
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/761536
dc.type.version acceptedVersion
dc.identifier.publicationfirstpage 7993
dc.identifier.publicationissue 12
dc.identifier.publicationlastpage 8006
dc.identifier.publicationtitle IEEE Transactions on wireless communications
dc.identifier.publicationvolume 17
dc.identifier.uxxi AR/0000021952
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