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dc.contributor.authorBorst, Sem
dc.contributor.authorProutiere, Alexandre
dc.contributor.authorShah, Devavrat
dc.date.accessioned2017-01-20T23:39:20Z
dc.date.available2017-01-20T23:39:20Z
dc.date.issued2012-09
dc.date.submitted2012-08
dc.identifier.issn0257-0130
dc.identifier.issn1572-9443
dc.identifier.urihttp://hdl.handle.net/1721.1/106581
dc.description.abstractWe are pleased to present this special issue “Recent Trends in the Mathematics of Wireless Communication Networks: Algorithms, Models, and Methods.” Wireless communication systems have experienced a spectacular expansion over the last few decades, now providing the predominant means of Internet access. The capacity of these systems is constrained by a set of scarce resources such as radio frequencies, transmit power, and time slots. Information theory offers a powerful mathematical framework to understand how these transmission resources should be allocated so as to maximize the capacity at the physical layer, yielding valuable insights for the design of efficient schemes for, e.g., modulation, coding, and power control. Typically, however, information-theoretic models pertain to idealized scenarios: They do not account for random user behavior and dynamics at higher network layers; the practical application-specific performance requirements are largely ignored, and algorithmic implementation constraints are usually not considered. Designing systems while systematically addressing all of these aspects has posed major challenges in the last few decades. The vital need for wireless networks with significantly better performance has rejuvenated research activities toward tackling these challenges.en_US
dc.publisherSpringer USen_US
dc.relation.isversionofhttp://dx.doi.org/10.1007/s11134-012-9327-5en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceSpringer USen_US
dc.titleEditorial introductionen_US
dc.typeArticleen_US
dc.identifier.citation“Editorial Introduction.” Queueing Systems 72, no. 1–2 (September 7, 2012): 1–3.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.mitauthorShah, Devavrat
dc.relation.journalQueueing Systemsen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2016-08-18T15:43:44Z
dc.language.rfc3066en
dc.rights.holderSpringer Science+Business Media, LLC
dspace.embargo.termsNen
dc.identifier.orcidhttps://orcid.org/0000-0003-0737-3259
mit.licenseOPEN_ACCESS_POLICYen_US


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