Infrastructure sharing and shared operations for mobile network operators From a deployment and operations view

Frisanco, T.; Tafertshofer, P.; Lurin, P.; Ang, Ricky

doi:10.1109/noms.2008.4575126

Cited by 50 publications

(43 citation statements)

References 3 publications

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“…They were also interested in the role of the regulators and how this affects network development aspects. The authors in [14] investigated the current technological regulatory and business environment from the network resources sharing point of view and proposed a model for forecasting the savings of CAPEX and OPEX. They also considered the economic impact by proposing a financial simulation model and how they can use the benefits of managed services for the network sharing case to reduce the effect of challenges caused by infrastructure sharing.…”

Section: A Network Sharingmentioning

confidence: 99%

“…They also considered the economic impact by proposing a financial simulation model and how they can use the benefits of managed services for the network sharing case to reduce the effect of challenges caused by infrastructure sharing. The article [15] shows the same as [14] but with more details and statistics about the savings for emerging countries. It also shows the technical constraints of infrastructure sharing, the economic and regulatory aspects, practical use cases and it also provides the evolution towards LTE networks.…”

Section: A Network Sharingmentioning

confidence: 99%

See 1 more Smart Citation

Multi-tenancy for Virtualized Network Functions

Medhat

Carella

Mwangama

et al. 2015

Proceedings of the 2015 1st IEEE Conference on Network Softwarization (NetSoft)

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The proliferation of cloud computing techniques has created a multitude of applications for network services deployments, enabled by the adoption of Software Defined Networks (SDN) and Network Functions Virtualization (NFV) paradigms. Mobile Network Operators (MNOs) also have the opportunity to leverage these technologies to enable the delivery of traditional networking functionality making use of cloud technologies. The benefit is cost reduction in the CAPEX and OPEX of the network infrastructure. Furthermore, multiple MNOs could share Virtualized Network Functions (VNFs) while maintaining separate logical data and control planes. This work investigates how those VNFs, in particular the Evolved Packet Core (EPC) Network Service (NS), can be shared using Virtual Tenant Networks (VTN) techniques. VTN provides a logical separation between data and control plane in virtualized networks. The design, implementation, and preliminary evaluations of such deployments are showcased in this paper, using open-source tools and readily available research playgrounds.

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Section: A Network Sharingmentioning

confidence: 99%

Section: A Network Sharingmentioning

confidence: 99%

Multi-tenancy for Virtualized Network Functions

Medhat

Carella

Mwangama

et al. 2015

Proceedings of the 2015 1st IEEE Conference on Network Softwarization (NetSoft)

View full text Add to dashboard Cite

show abstract

“…Figure 1 illustrates a general architecture of a wireless system and different network sharing approaches. In general, the more network assets and operational functions that are shared, the more cost savings are obtained, accompanied by the loss of control of the entire network [12] . For example, in a full sharing case (active and/or roaming-based), operator A relies on operator B's network assets and operation functions to provide service to customers in operator B's coverage area.…”

Section: Network Sharingmentioning

confidence: 99%

Energy efficient load balancing for future self-organized shared networks

et al. 2014

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Energy is an expensive commodity in long term evolution-advanced (LTE-A) networks, spurring a myriad of research approaches in recent years to attempt to minimize energy consumption in LTE-A, usually from the mobile users' perspective. In this work, the energy consumption of the network is analyzed, according to the operators' point of view. Network sharing and self-organized network (SON) technologies are attractive solutions for cost reduction, and for the minimization of energy utilization in LTE-A network. In this paper, a novel framework is provided using a selforganized load balancing (SO-LB) algorithm for minimizing energy cost per bit based on the scope of 3GPP standardization. Obtained simulation results show that by employing SO-LB algorithm in a shared network, it is possible to achieve up to 15-20 % savings in energy consumption when compared to LTE-A non-shared networks.Keywords LTE-A · Energy efficiency · Self-organized network (SON) · Network sharing · Load balancing (LB)

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“…One of the most widespread asset sharing models is the static asset ownership approach that we refer to as assetcentric sharing, according to which assets belonging to a collaborating partner may or may not be shared with other partners [4], based on pre-defined policies. However, this approach assumes a centralized operations and control center that specifies a cumbersome access model.…”

Section: Introductionmentioning

confidence: 99%

Sharing policies for multi-partner asset management in smart environments

Parizas

Pizzocaro

Preece

et al. 2014

2014 IEEE Network Operations and Management Symposium (NOMS)

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Smart environments are ecosystems, which seamlessly embed IT assets into physical world's objects and hold promise for improving the services we receive from our social and economic ecosystems. The management of smart environment assets in multi-partner, dynamic collaboration scenarios where different sets of assets are owned and operated by different partners is a non-trivial problem, due to restrictive asset sharing policies applied by collaborating partners. In this work we formalize, evaluate and compare two asset sharing policies, investigating their impact on MSTA-P, a policy-regulated version of an existing asset-task assignment protocol. The first sharing policy is based on a traditional asset ownership model while the second is based on an edge model allowing asset sharing among collaborating partnes through cross-partner team formations. We find that while the traditional ownership model allows slightly better performance, the difference is only marginal, so a teamsharing model offers a viable alternative sharing approach.

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Infrastructure sharing and shared operations for mobile network operators From a deployment and operations view

Cited by 50 publications

References 3 publications

Multi-tenancy for Virtualized Network Functions

Multi-tenancy for Virtualized Network Functions

Energy efficient load balancing for future self-organized shared networks

Sharing policies for multi-partner asset management in smart environments

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