University of Oulu

T. Sanguanpuak, N. Rajatheva, D. Niyato and M. Latva-aho, "Network Slicing with Mobile Edge Computing for Micro-Operator Networks in Beyond 5G," 2018 21st International Symposium on Wireless Personal Multimedia Communications (WPMC), Chiang Rai, Thailand, 2018, pp. 352-357. doi: 10.1109/WPMC.2018.8712904

Network slicing with mobile edge computing for micro-operator networks in beyond 5G

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Author: Sanguanpuak, Tachporn1; Rajatheva, Nandana1; Niyato, Dusit2;
Organizations: 1Centre for Wireless Communications (CWC), University of Oulu, Finland
2School of Comp. Science and Eng., Nanyang Technological University (NTU), Singapore
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.6 MB)
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Language: English
Published: National Institute of Information and Communications Technology, 2018
Publish Date: 2020-02-21


We model the scenarios of network slicing allocation for the micro-operator (MO) network. The MO creates the slices “as a service” of wireless resource and then allocates these slices to multiple mobile network operators (MNOs). We propose the slice allocation problem of multiple MNOs with the goal of maximizing the social welfare of the network defined as sum rate of all MNOs. The many-to-one matching game framework is adopted to solve this problem. Then, the generic Markov Chain Monte Carlo (MCMC) method is introduced for the computation of game theoretical solution. After the MNOs obtain the slices, for each small cell base station (SBS), we investigate the role of power allocation using Q-learning and uniform power. We numerically show that the solution of the matching game leads to two-sided stable matching. Furthermore, for each MNO, we explore the problem of infrastructure cost minimization constrained on the latency at the user equipment (UE). The optimal solution is given by a greedy fractional knapsack algorithm. We illustrate that it is sufficient for the MNO to use a small fraction of the SBS to serve the UE while satisfying the latency constraint. For the problem of overall data rate maximization, we numerically show that the power allocation has significant effect on the social welfare of the system.

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Series: Conference proceedings WPMC
ISSN: 1347-6890
ISSN-E: 1882-5621
ISSN-L: 1347-6890
ISBN: 978-1-5386-5757-7
ISBN Print: 978-1-5386-5758-4
Pages: 352 - 357
DOI: 10.1109/WPMC.2018.8712904
Host publication: The 21st International Symposium on Wireless Personal Multimedia Communications (WPMC 2018)
Conference: International Symposium on Wireless Personal Multimedia Communications
Type of Publication: A4 Article in conference proceedings
Field of Science: 213 Electronic, automation and communications engineering, electronics
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