IMDEA Networks Institute Publications Repository

Statistical Multiplexing and Traffic Shaping Games for Network Slicing

Zheng, Jiaxiao and Caballero, Pablo and de Veciana, Gustavo and Baek, Seung Jun and Banchs, Albert (2017) Statistical Multiplexing and Traffic Shaping Games for Network Slicing. In: The 15th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt 2017) , 15-19 May 2017, Paris, France.

[img] PDF (Statistical Multiplexing and Traffic Shaping Games for Network Slicing) - Published Version
Download (754Kb)

Abstract

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 stochastic nature of mobile services' spatial loads, it is highly desirable to achieve efficient statistical multiplexing amongst network 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 the achievable performance gains over static slicing, showing higher gains when a slice's spatial load is more 'imbalanced' than, and/or 'orthogonal' to, the aggregate network load. Under SCPF, traditional network dimensioning translates to a coupled share dimensioning problem, addressing 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.

Item Type: Conference or Workshop Papers (Paper)
Subjects: UNSPECIFIED
Divisions: UNSPECIFIED
Depositing User: Rebeca De Miguel
Date Deposited: 04 Jul 2017 09:47
Last Modified: 04 Jul 2017 09:47
URI: http://eprints.networks.imdea.org/id/eprint/1627

Actions (login required)

View Item View Item