Adapting downlink power in fronthaul-constrained hierarchical software-defined RANs

Xianfu Chen, Zhu Han, Zheng Chang, Guoliang Xue, Honggang Zhang, Mehdi Bennis

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

    3 Citations (Scopus)

    Abstract

    The proof-of-concept software-defined radio access network (RAN) is not flexible enough due to the inherent delay and the necessity of high-capacity fronthaul links. We are hence motivated to propose a hierarchical software-defined RAN architecture, over which the base stations (BSs) are abstracted into multiple virtual local controllers while these local controllers are administered by a high-level controller. Under such a hierarchical network architecture, we particularly investigate in this paper how to adapt the BS transmit power over a long term according to the network dynamics under the constraints of mobile user queue stability and limited fronthaul capacity. We first formulate an off-line stochastic power adaptation problem. Through developing the Lyapunov method, we transform the problem into an approximate on-line optimization task. However, the challenge arises from the introduced per-cluster fronthaul capacity constraint. To solve the task efficiently and avoid extensive information exchange between the high-level controller and the local controllers, we put forward a novel low-complexity algorithm by designing a non- cooperative power adaptation game among the local controllers. Simulations are provided to evaluate the efficacy of the proposed studies.
    Original languageEnglish
    Title of host publication2017 IEEE Wireless Communications and Networking Conference (WCNC)
    PublisherIEEE Institute of Electrical and Electronic Engineers
    ISBN (Electronic)978-1-5090-4183-1
    ISBN (Print)978-1-5090-4184-8
    DOIs
    Publication statusPublished - 10 May 2017
    MoE publication typeA4 Article in a conference publication
    EventIEEE Wireless Communications and Networking Conference, WCNC 2017 - San Francisco, United States
    Duration: 19 Mar 201722 Mar 2017

    Conference

    ConferenceIEEE Wireless Communications and Networking Conference, WCNC 2017
    Abbreviated titleWCNC 2017
    CountryUnited States
    CitySan Francisco
    Period19/03/1722/03/17

    Fingerprint

    Controllers
    Network architecture
    Base stations
    Lyapunov methods

    Cite this

    Chen, X., Han, Z., Chang, Z., Xue, G., Zhang, H., & Bennis, M. (2017). Adapting downlink power in fronthaul-constrained hierarchical software-defined RANs. In 2017 IEEE Wireless Communications and Networking Conference (WCNC) [7925773] IEEE Institute of Electrical and Electronic Engineers . https://doi.org/10.1109/WCNC.2017.7925773
    Chen, Xianfu ; Han, Zhu ; Chang, Zheng ; Xue, Guoliang ; Zhang, Honggang ; Bennis, Mehdi. / Adapting downlink power in fronthaul-constrained hierarchical software-defined RANs. 2017 IEEE Wireless Communications and Networking Conference (WCNC). IEEE Institute of Electrical and Electronic Engineers , 2017.
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    abstract = "The proof-of-concept software-defined radio access network (RAN) is not flexible enough due to the inherent delay and the necessity of high-capacity fronthaul links. We are hence motivated to propose a hierarchical software-defined RAN architecture, over which the base stations (BSs) are abstracted into multiple virtual local controllers while these local controllers are administered by a high-level controller. Under such a hierarchical network architecture, we particularly investigate in this paper how to adapt the BS transmit power over a long term according to the network dynamics under the constraints of mobile user queue stability and limited fronthaul capacity. We first formulate an off-line stochastic power adaptation problem. Through developing the Lyapunov method, we transform the problem into an approximate on-line optimization task. However, the challenge arises from the introduced per-cluster fronthaul capacity constraint. To solve the task efficiently and avoid extensive information exchange between the high-level controller and the local controllers, we put forward a novel low-complexity algorithm by designing a non- cooperative power adaptation game among the local controllers. Simulations are provided to evaluate the efficacy of the proposed studies.",
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    Chen, X, Han, Z, Chang, Z, Xue, G, Zhang, H & Bennis, M 2017, Adapting downlink power in fronthaul-constrained hierarchical software-defined RANs. in 2017 IEEE Wireless Communications and Networking Conference (WCNC)., 7925773, IEEE Institute of Electrical and Electronic Engineers , IEEE Wireless Communications and Networking Conference, WCNC 2017, San Francisco, United States, 19/03/17. https://doi.org/10.1109/WCNC.2017.7925773

    Adapting downlink power in fronthaul-constrained hierarchical software-defined RANs. / Chen, Xianfu; Han, Zhu; Chang, Zheng; Xue, Guoliang; Zhang, Honggang; Bennis, Mehdi.

    2017 IEEE Wireless Communications and Networking Conference (WCNC). IEEE Institute of Electrical and Electronic Engineers , 2017. 7925773.

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

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    AU - Han, Zhu

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    AU - Zhang, Honggang

    AU - Bennis, Mehdi

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    AB - The proof-of-concept software-defined radio access network (RAN) is not flexible enough due to the inherent delay and the necessity of high-capacity fronthaul links. We are hence motivated to propose a hierarchical software-defined RAN architecture, over which the base stations (BSs) are abstracted into multiple virtual local controllers while these local controllers are administered by a high-level controller. Under such a hierarchical network architecture, we particularly investigate in this paper how to adapt the BS transmit power over a long term according to the network dynamics under the constraints of mobile user queue stability and limited fronthaul capacity. We first formulate an off-line stochastic power adaptation problem. Through developing the Lyapunov method, we transform the problem into an approximate on-line optimization task. However, the challenge arises from the introduced per-cluster fronthaul capacity constraint. To solve the task efficiently and avoid extensive information exchange between the high-level controller and the local controllers, we put forward a novel low-complexity algorithm by designing a non- cooperative power adaptation game among the local controllers. Simulations are provided to evaluate the efficacy of the proposed studies.

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    Chen X, Han Z, Chang Z, Xue G, Zhang H, Bennis M. Adapting downlink power in fronthaul-constrained hierarchical software-defined RANs. In 2017 IEEE Wireless Communications and Networking Conference (WCNC). IEEE Institute of Electrical and Electronic Engineers . 2017. 7925773 https://doi.org/10.1109/WCNC.2017.7925773