Self-Healing in 5G HetNets

dc.contributor.author Selim, Mohamed
dc.contributor.author Kamal, Ahmed
dc.contributor.author Elsayed, Khaled
dc.contributor.author Abd-El-Atty, Heba
dc.contributor.author Alnuem, Mohammed
dc.contributor.department Department of Electrical and Computer Engineering
dc.date 2020-10-07T15:36:13.000
dc.date.accessioned 2021-02-25T17:18:13Z
dc.date.available 2021-02-25T17:18:13Z
dc.date.copyright Fri Jan 01 00:00:00 UTC 2016
dc.date.issued 2016-04-05
dc.description.abstract <p>The main requirements of 5G are emerging through the efforts of diverse groups such as 4G America in United States, IMT-2020 (5G) promotion group in China and the 5G Private Public Partnership (5G PPP) in Europe. The 5G requirements will tremendously increase the network complexity which requires auto-integration and self-management capabilities that are well beyond today's self-organising network features. Additionally, ultra-reliable communications put very stringent latency and reliability requirements on the architecture.</p>
dc.description.comments <p>This is a manuscript of a book chapter published as Selim, Mohamed Y., A. Kamal, K. Elsayed, H. Abd-El-Atty, and M. Alnuem. “Self-Healing in 5G HetNets.” In: <em>Opportunities in 5G Networks: A Research and Development Perspective</em> (Fei Hu, ed.). Boca Raton, FL: CRC Press. (2016): 149-178. Posted with permission.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/ece_pubs/263/
dc.identifier.articleid 1268
dc.identifier.contextkey 19693764
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath ece_pubs/263
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/93970
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/ece_pubs/263/2016_SelimMohamed_SelfHealing.pdf|||Fri Jan 14 23:02:47 UTC 2022
dc.subject.disciplines Systems and Communications
dc.title Self-Healing in 5G HetNets
dc.type article
dc.type.genre book_chapter
dspace.entity.type Publication
relation.isAuthorOfPublication 59796f15-4ee8-41a5-9acb-cf30416831b6
relation.isOrgUnitOfPublication a75a044c-d11e-44cd-af4f-dab1d83339ff
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