Power-Minimization Computing Resource Allocation in Mobile Cloud-Radio Access Network

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.