Conference paper Open Access

Holistic Resource Management and Air Interface Abstraction Models

P. Karimi; F. Sanchez Moya; Ö. Bulakci; D. M. Gutierrez-Estevez; M. Ericson; A. Prasad; G. Fodor


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    <subfield code="a">(c) 2017 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.</subfield>
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    <subfield code="a">&lt;p&gt;&lt;em&gt;Abstract&lt;/em&gt;—Resource Management (RM) in fifth generation (5G) radio access network has been the subject of extensive study in recent years. An agile RM framework should encompass greatly-improved services from previous mobile network generations along with advanced new services meeting the challenging requirements, like massive data rate and ultra-low latency. The novel aspects of 5G system lies within co-existence of diverse legacy or new wireless technologies and air interfaces (AI) consuming shared resources of frequency, time, etc. This will lead to new use-cases, which should holistically be addressed by a comprehensive RM framework. In this paper we explore a number of these use cases, namely flexible services-based time scheduling, integration and abstraction of multiple AI variants (AIV) in a systematic way. RM for device-to-device communication and RM for inter-network collaboration have been shown as examples exploiting this model abstraction.&lt;/p&gt;</subfield>
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