Secrecy preserving in stochastic resource orchestration for multi-tenancy network slicing

Xianfu Chen, Zhifeng Zhao, Celimuge Wu, Tao Chen, Honggang Zhang, Mehdi Bennis

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    Abstract

    Network slicing is a proposing technology to support diverse services from mobile users (MUs) over a common physical network infrastructure. In this paper, we consider radio access network (RAN)-only slicing, where the physical RAN is tailored to accommodate both computation and communication functionalities. Multiple service providers (SPs, i.e., multiple tenants) compete with each other to bid for a limited number of channels across the scheduling slots, aiming to provide their subscribed MUs the opportunities to access the RAN slices. An eavesdropper overhears data transmissions from the MUs. We model the interactions among the non-cooperative SPs as a stochastic game, in which the objective of a SP is to optimize its own expected long-term payoff performance. To approximate the Nash equilibrium solutions, we first construct an abstract stochastic game using the channel auction outcomes. Then we linearly decompose the per-SP Markov decision process to simplify the decision- makings and derive a deep reinforcement learning based scheme to approach the optimal abstract control policies. TensorFlow-based experiments verify that the proposed scheme outperforms the three baselines and yields the best performance in average utility per MU per scheduling slot.

    Original languageEnglish
    Title of host publication2019 IEEE Global Communications Conference, GLOBECOM 2019 - Proceedings
    PublisherIEEE Institute of Electrical and Electronic Engineers
    ISBN (Electronic)978-1-72810-962-6
    DOIs
    Publication statusPublished - Dec 2019
    MoE publication typeA4 Article in a conference publication
    Event2019 IEEE Global Communications Conference, GLOBECOM 2019 - Waikoloa, United States
    Duration: 9 Dec 201913 Dec 2019

    Conference

    Conference2019 IEEE Global Communications Conference, GLOBECOM 2019
    Country/TerritoryUnited States
    CityWaikoloa
    Period9/12/1913/12/19

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