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Cloud radio access network (C-RAN) and mobile edge computing (MEC) have emerged as promising candidates for the next generation access network techniques. Unfortunately, although MEC tries to utilize the highly distributed computing resources in close proximity to user equipments equipments (UE), C-RAN suggests to centralize the baseband processing units (BBU) deployed in radio access networks. To...
With the fast development of the cloud computing and virtualization techniques, computation resources can be allocated more dynamically and scalably on demand. This paper aims to study two types of computing, i.e., service computing and communication computing. We have proposed to have both computing resource in mobile operator's mobile cloud and investigated how to jointly allocate them with the...
Nowadays, computation is playing an increasingly more important role in the future generation of computer and communication networks, as exemplified by the recent progress in SDN for wired networks as well as C-RAN and mobile cloud computing (MCC) for wireless networks. This article proposes a unified concept (i.e., computation diversity) to describe the impact and diverse forms of the computation...
To improve low-latency computing and communication services, a new type of mobile edge computing architecture named multi-layer cloud radio access network (Multi-layer CRAN) is designed in this paper. In Multi-layer CRAN, a high-level edge cloud is deployed next to base band unit pool to handle the computing tasks of user equipment (UE) in centralized way. Meanwhile, a low-level edge cloud is deployed...
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...
Nowadays, by integrating the cloud radio access network (C-RAN) with the mobile cloud computing (MCC) technology, mobile service provider (MSP) can efficiently handle the increasing mobile traffic and enhance the capabilities of mobile users' devices to provide better quality of service (QoS). But the power consumption has become skyrocketing for MSP as it gravely affects the profit of MSP. Previous...
Taking full advantages of two cloud-based techniques, i.e., cloud radio access network (C-RAN) and mobile cloud computing (MCC), mobile operators will be able to provide the good service to the mobile user as well as increasing their revenue. This paper aims to minimize the mobile operator's cost while at the same time, meet the task time constraints of the mobile users. In particular, we assume that...
Much work has been conducted to design effective and efficient algorithms for Quality of Service (QoS)-aware service selection algorithms in recent years. The wireless mobile computing and cloud computing environments have brought many challenges to QoS-aware service selection. Device-to-Device (D2D) communication and Cloud Radio Accessing Networks (C-RAN) are the new paradigm arising in recent years...
By taking into consideration network features of a wireless mesh network environment where mobile cloud computing (MCC) system is deployed, this paper proposes an effective virtual machine (VM) placement algorithm. This algorithm tends to place a newly created VM for a cloud service to a cloud server, which itself is also a mobile device, that occurs lowest network delay when accessing to application...
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