Foresighted resource scheduling in software-defined radio access networks

Xianfu Chen, Zhu Han, Honggang Zhang, Mehdi Bennis, Tao Chen

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

4 Citations (Scopus)


In a software-defined radio access network (Soft-RAN), the centralized network controller (CNC) and the wireless service providers (WSPs) are decoupled. Specifically, the CNC schedules resources over time for the mobile terminals (MTs) based on the value functions sent by the WSPs. While the strategic WSPs compete against each other on behalf of their MTs to optimize the long-term expected payoffs. The interactions among WSPs under a temporally changing SoftRAN form a non-cooperative stochastic game, which is regulated by the CNC using a Vickrey-Clarke-Groves pricing mechanism. However, due to the selfishness of WSPs, global network information is unattainable during the interacting process. We hence propose a stochastic resource scheduling scheme, in which each WSP needs neither other WSPs' private information nor a priori knowledge of network dynamics, yet it is able to independently learn the approximated true value functions in a gradual way. Numerical simulations are carried out to demonstrate the performance gains that can be achieved from the proposed scheme.
Original languageEnglish
Title of host publicationSignal and Information Processing (GlobalSIP), 2015 IEEE Global Conference on
PublisherIEEE Institute of Electrical and Electronic Engineers
ISBN (Electronic)978-1-4799-7591-4, 978-1-4799-7590-7
Publication statusPublished - 25 Feb 2015
MoE publication typeA4 Article in a conference publication
EventIEEE Global Conference on Signal and Information Processing - Orlando, United States
Duration: 14 Dec 201516 Dec 2015


ConferenceIEEE Global Conference on Signal and Information Processing
Abbreviated titleIEEE GlobalSIP
CountryUnited States


  • computer numerical control
  • games
  • stochastic processes
  • radio access networks
  • Wireless communication
  • mobile communication
  • artificial neural networks

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