Active LTE RAN Sharing with Partial Resource Reservation

Guo, Tao; Arnott, Rob

doi:10.1109/vtcfall.2013.6692075

Cited by 57 publications

(65 citation statements)

References 5 publications

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“…Moreover, if there are multiple feasible share allocations, then the optimizer is a 'robust' choice in that it maximizes the minimum share given to any slice, giving slices margins to tolerate perturbations in the slice loads satisfying Eq. (16). If a set of network slice loads and BTD constraints are not admissible, admission control will need to be applied.…”

Section: B Analysis Of Gainmentioning

confidence: 99%

“…The focus of this paper is on resource sharing amongst slices supporting stochastic (mobile) loads. A natural approach to sharing is complete partitioning (see, e.g., [16]), which we refer to as static slicing, whereby resources are statically partitioned and allocated to slices, according to a service level agreement, irrespective of slices' instantaneous loads. This offers each slice a guaranteed allocation at each base station, and protection from each other's traffic, but, as we will see, poor efficiency.…”

Section: Introductionmentioning

confidence: 99%

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Statistical multiplexing and traffic shaping games for network slicing

Zheng

Caballero

Veciana

et al. 2017

2017 15th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt)

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Next generation wireless architectures are expected to enable slices of shared wireless infrastructure which are customized to specific mobile operators/services. Given infrastructure costs and the stochastic nature of mobile services' spatial loads, it is highly desirable to achieve efficient statistical multiplexing amongst such slices. We study a simple dynamic resource sharing policy which allocates a 'share' of a pool of (distributed) resources to each slice-Share Constrained Proportionally Fair (SCPF). We give a characterization of SCPF's performance gains over static slicing and general processor sharing. We show that higher gains are obtained when a slice's spatial load is more 'imbalanced' than, and/or 'orthogonal' to, the aggregate network load, and that the overall gain across slices is positive. We then address the associated dimensioning problem. Under SCPF, traditional network dimensioning translates to a coupled share dimensioning problem, which characterizes the existence of a feasible share allocation given slices' expected loads and performance requirements. We provide a solution to robust share dimensioning for SCPF-based network slicing. Slices may wish to unilaterally manage their users' performance via admission control which maximizes their carried loads subject to performance requirements. We show this can be modeled as a 'traffic shaping' game with an achievable Nash equilibrium. Under high loads, the equilibrium is explicitly characterized, as are the gains in the carried load under SCPF vs. static slicing. Detailed simulations of a wireless infrastructure supporting multiple slices with heterogeneous mobile loads show the fidelity of our models and range of validity of our high load equilibrium analysis.

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Section: B Analysis Of Gainmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Statistical multiplexing and traffic shaping games for network slicing

Zheng

Caballero

Veciana

et al. 2017

2017 15th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt)

View full text Add to dashboard Cite

show abstract

“…The need for two tier scheduler is also emphasized in [12], [13] and [14]. These papers show the advances in sharing resources through slicing of wireless resources.…”

Section: Related Workmentioning

confidence: 99%

Radio access sharing strategies for multiple operators in cellular networks

Avramova

Iversen

2015

2015 IEEE International Conference on Communication Workshop (ICCW)

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Mobile operators are moving towards sharing network capacity in order to reduce capital and operational expenditures, while meeting the increasing demand for mobile broadband data services. Radio access network sharing is a promising technique that leads to reduced number of physical base station deployments (required for coverage enhancement), increased base station utilization, and reduced overall power consumption. Today, network sharing in the radio access part is passive and limited to cell sites. With the introduction of Cloud Radio Access Network and Software Defined Networking adoption to the radio access network, the possibility for sharing baseband processing and radio spectrum becomes an important aspect of network sharing. This paper investigates strategies for active sharing of radio access among multiple operators, and analyses the individual benefits depending on the sharing degree. The model used to assess the sharing strategies is based on multidimensional loss systems, and blocking probability is considered as performance metrics.

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“…Reference [9] developed a network substrate to virtualize wireless resources, which enables both bandwidth-based and resourcebased reservations. Reference [10] developed a partial resource reservation scheme, where each MVNO reserves a minimum amount of spectrum and the remaining part is shared among all MVNOs based on their real-time demands. Reference [11] proposed a dynamic resource allocation scheme that keeps track of both the minimum reservation and the fairness requirement.…”

Section: Introductionmentioning

confidence: 99%

Joint Spectrum Reservation and On-Demand Request for Mobile Virtual Network Operators

Zhang

2018

IEEE Trans. Commun.

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Wireless network virtualization enables mobile virtual network operators (MVNOs) to develop new services on a low-cost platform by leasing virtual resources from mobile network owners. In this paper, we investigate a two-stage spectrum leasing framework, where an MVNO acquires radio spectrum through both advance reservation and on-demand request. To maximize its surplus, the MVNO jointly optimizes the amount of spectrum to lease in each stage by taking into account the traffic distribution, random user locations, wireless channel statistics, quality-of-service requirements, and the prices differences. Meanwhile, the MVNO dynamically allocates the acquired spectrum resources to its mobile subscribers (users) according to fast channel fading in order to maximize the utilization of the resources. The MVNO's surplus maximization problem is formulated as a tri-level nested optimization problem consisting of dynamic resource allocation (DRA), on-demand request, and advance reservation subproblems. To solve the problem efficiently, we first analyze the DRA problem, and then use the optimal solution to find the optimal leasing decisions in the two stages. In particular, we derive a closed-form expression of the optimal on-demand request, and develop a stochastic gradient descent algorithm to find the optimal advance reservation. For a special case when the proportional fairness utility is adopted, we show that the optimal two-stage leasing scheme is related to the number of users and is irrelevant to user locations. Simulation results show that the two-stage spectrum leasing scheme can adapt to different levels of traffic and on-demand price variations, and achieve higher surplus than conventional one-stage leasing schemes. Index Termsradio spectrum management, mobile virtual network operator, stochastic optimization This work has been presented in part in 2016 IEEE ICCS,

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Active LTE RAN Sharing with Partial Resource Reservation

Cited by 57 publications

References 5 publications

Statistical multiplexing and traffic shaping games for network slicing

Statistical multiplexing and traffic shaping games for network slicing

Radio access sharing strategies for multiple operators in cellular networks

Joint Spectrum Reservation and On-Demand Request for Mobile Virtual Network Operators

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