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UID:406@lincs.fr
DTSTART;TZID=Europe/Paris:20190123T140000
DTEND;TZID=Europe/Paris:20190123T160000
DTSTAMP:20190213T122106Z
URL:https://www.lincs.fr/events/soutenance-de-these/
SUMMARY:Thesis Defense : Auction-based Dynamic Resource Orchestration in
 Cloud-based Radio Access Networks
DESCRIPTION:The paradigm of a Cloud-based RAN (C-RAN) is a key technology
 that combines the enabling solutions for the 5G requirements in terms of
 data rate\, scalability and cost savings. A C-RAN architecture is based on
 two key features namely\, Centralization\, wherein computational resources
 of base stations\, namely Base Band Units (BBUs)\, are pooled together in a
 central Cloud\, and Virtualization\, with the possibility that several
 Mobile Virtual Network Operators (MVNOs) share the radio resources and the
 BBU pool in order to reduce operational expenditure costs. In this thesis\,
 we develop a theoretical framework for dynamic resource management in the
 C-RAN and derive the fundamental performance limits as well as the trade
 offs among various system parameters.\n\nWe specifically propose 3
 different resource allocation mechanisms that suit the C-RAN technology and
 help boost resource utilization efficiency. For each allocation mechanism\,
 we set an auction framework to help generate high revenues.\n\nWe design a
 two-level auction for the allocation of radio resources\, in a scenario
 with a central C-RAN operator\, a set of MVNOs and their subscribed users.
 We tackle the problem of calendaring for radio resource reservation in the
 C-RAN\, a natural context in which bandwidth calendaring can be applied
 owing to its centralized architecture. An auction-based framework is
 tailored so as to guarantee profit maximization and a market proof to
 manipulation. We address joint radio and processing allocation in the
 context of C-RAN as a combinatorial auction.\n\nOur approaches satisfy
 fundamental economic properties: truthfulness\, individual rationality and
 computational efficiency. Numerical results demonstrates the performance of
 our proposal in various network settings and show that our proposals can
 guarantee efficient outcomes.\n\nKeywords: C-RAN\, resource management\,
 auctions
CATEGORIES:PhD Defense,Youtube
LOCATION:Paris-Rennes Room (EIT Digital)\, 23 avenue d'Italie\, 75013
 Paris\, France
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=23 avenue d'Italie\, 75013
 Paris\, France;X-APPLE-RADIUS=100;X-TITLE=Paris-Rennes Room (EIT
 Digital):geo:0,0
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DTSTART:20181028T020000
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