Power-minimization computing resource allocation in mobile cloud-radio access network

Kezhi Wang, Kun Yang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

10 Citations (Scopus)

Abstract

Recently, commutating resource is playing an increasingly more important role in the user experience and future generation wireless networks, as exemplified by the recent progress in mobile edge computing (MEC) and cloud radio access networks (C-RAN). In this paper, by taking advantage of both C-RAN and MEC, we propose a novel mobile cloud-radio access network (MC-RAN) structure, which is composed of virtualized baseband unit (vBBU) as the communication computing providing unit (CCPU) and virtualized mobile clone (vMC) as the service computing providing unit (SCPU). In MC-RAN, both vBBU and vMC can be realized in mobile cloud in the form of cloud based virtute machines, which facilitate the dynamic computational resource allocation between CCPU and SCPU. In particular, this paper considers the power minimization computational resource allocation between CCPU and SCPU with the consideration of the quality of service (QoS) requirement of the user equipments (UEs). Simulation results confirm that the proposed power minimization and resource allocation solution can improve the system performance and save power.

Original languageEnglish
Title of host publicationProceedings - 2016 16th IEEE International Conference on Computer and Information Technology (CIT)
PublisherIEEE
Pages667-672
Number of pages6
ISBN (Electronic)9781509043149
ISBN (Print)978-1-5090-4315-6
DOIs
Publication statusPublished - 10 Mar 2017
Externally publishedYes
Event16th IEEE International Conference on Computer and Information Technology, CIT 2016 - Nadi, Fiji
Duration: 7 Dec 201610 Dec 2016

Conference

Conference16th IEEE International Conference on Computer and Information Technology, CIT 2016
CountryFiji
CityNadi
Period7/12/1610/12/16

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