Virtual bearer management for efficient MTC radio and backhaul sharing in LTE networks

Samdanis, Konstantinos; Künz, Andreas; Hossain, Mohammad Istiak; Taleb, Tarik

doi:10.1109/pimrc.2013.6666620

Cited by 16 publications

(5 citation statements)

References 9 publications

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“…MEC can be used to maintain network or service states for emerging applications, e.g., for resiliency reasons by keeping a state of a critical parameter and providing backup features or can help analyzing QoE or other performance related states, for instance in [202] considering the performance of Time Division-LTE. MEC can further provide proxying functionality on behalf of end users, e.g., for energy saving purposes, and can enhance the network scalability by reducing the signaling overhead related to network processes, through the aggregation of signaling messages or via mechanisms that can enable connectivity sharing, e.g., sharing an established bearer among a set of MTC devices with the same service requirements [203]. MEC can be used to enhance the experience of location services, making Proximity Services [204] more intelligent and personalized, by combining user-context information, big data and social applications.…”

Section: Service Enhancements: Qoe and Resiliencymentioning

confidence: 99%

On Multi-Access Edge Computing: A Survey of the Emerging 5G Network Edge Cloud Architecture and Orchestration

Taleb

Samdanis

Mada

et al. 2017

IEEE Commun. Surv. Tutorials

Self Cite

1,470

746

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Multi-access edge computing (MEC) is an emerging ecosystem, which aims at converging telecommunication and IT services, providing a cloud computing platform at the edge of the radio access network. MEC offers storage and computational resources at the edge, reducing latency for mobile end users and utilizing more efficiently the mobile backhaul and core networks. This paper introduces a survey on MEC and focuses on the fundamental key enabling technologies. It elaborates MEC orchestration considering both individual services and a network of MEC platforms supporting mobility, bringing light into the different orchestration deployment options. In addition, this paper analyzes the MEC reference architecture and main deployment scenarios, which offer multitenancy support for application developers, content providers, and third parties. Finally, this paper overviews the current standardization activities and elaborates further on open research challenges.

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Section: Service Enhancements: Qoe and Resiliencymentioning

confidence: 99%

On Multi-Access Edge Computing: A Survey of the Emerging 5G Network Edge Cloud Architecture and Orchestration

Taleb

Samdanis

Mada

et al. 2017

IEEE Commun. Surv. Tutorials

Self Cite

1,470

746

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“…In cellular networks, a user may have many flows (user bearers) associated with different applications running at the user's mobile device. User bearers may share network resources with other bearers of different users through a virtual layer, which is mapped to physical network resources (infrastructure) [22], [23]. In [24], the authors propose a virtual cellular network architecture based on SDN.…”

Section: ) Virtual Resources Allocation In Cellular Networkmentioning

confidence: 99%

An Efficient Resource Management Mechanism for Network Slicing in a LTE Network

Alfoudi

Newaz

Otebolaku³

et al. 2019

IEEE Access

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The proliferation of mobile devices and user applications has continued to contribute to the humongous volume of data traffic in cellular networks. To surmount this challenge, service, and resource providers are looking for alternative mechanisms that can successfully facilitate managing network resources in a more dynamic, predictive, and distributed manner. New concepts of network architectures, such as software-defined network (SDN) and network function virtualization (NFV), have paved the way to move from static to flexible networks. They make networks more flexible (i.e., network providers capable of ondemand provisioning), easily customizable, and cost effective. In this regard, network slicing is emerging as a new technology built on the concepts of the SDN and NFV. It splits a network infrastructure into isolated virtual networks and allows them to manage resources allocation individually based on their requirements and characteristics. Most of the existing solutions for network slicing are computationally expensive because of the length of time they require to estimate the resources required for each isolated slice. In addition, there is no guarantee that the resource allocation is fairly shared among users in a slice. In this paper, we propose a network slicing resource management (NSRM) mechanism to assign the required resources for each slice in a LTE network, taking into consideration the isolation of resources among different slices. In addition, NSRM aims to ensure isolation and fair sharing of distributed bandwidths between users belonging to the same slice. In NSRM, depending on requirements, each slice can be customized (e.g., each can have a different scheduling policy).

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“…Several proposals [91,[114][115][116] have been proposed to support these types of communication over SDN and virtualization based LTE architecture as well as to solve the challenges. Samdanis et al [114] proposed a solution to eliminate the signaling overhead by adopting the NFV concept to machine type communication (MTC) devices (i.e., D2D or M2M devices). This paper introduced the concept of virtual bear, which can be shared by a specified set of MTC devices and the virtualization of gateway devices.…”

Section: M2m/d2dmentioning

confidence: 99%

SDN and Virtualization-Based LTE Mobile Network Architectures: A Comprehensive Survey

Nguyen

Kim

2015

Wireless Pers Commun

104

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Software-defined networking (SDN) features the decoupling of the control plane and data plane, a programmable network and virtualization, which enables network infrastructure sharing and the ''softwarization'' of the network functions. Recently, many research works have tried to redesign the traditional mobile network using two of these concepts in order to deal with the challenges faced by mobile operators, such as the rapid growth of mobile traffic and new services. In this paper, we first provide an overview of SDN, network virtualization, and network function virtualization, and then describe the current LTE mobile network architecture as well as its challenges and issues. By analyzing and categorizing a wide range of the latest research works on SDN and virtualization in LTE mobile networks, we present a general architecture for SDN and virtualization in mobile networks (called SDVMN) and then propose a hierarchical taxonomy based on the different levels of the carrier network. We also present an in-depth analysis about changes related to protocol operation and architecture when adopting SDN and virtualization in mobile networks. In addition, we list specific use cases and applications that benefit from SDVMN. Last but not least, we discuss the open issues and future research directions of SDVMN.

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Virtual bearer management for efficient MTC radio and backhaul sharing in LTE networks

Cited by 16 publications

References 9 publications

On Multi-Access Edge Computing: A Survey of the Emerging 5G Network Edge Cloud Architecture and Orchestration

On Multi-Access Edge Computing: A Survey of the Emerging 5G Network Edge Cloud Architecture and Orchestration

An Efficient Resource Management Mechanism for Network Slicing in a LTE Network

SDN and Virtualization-Based LTE Mobile Network Architectures: A Comprehensive Survey

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