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 contribution

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 (US)
Title of host publication2017 IEEE Wireless Communications and Networking Conference, WCNC 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509041831
DOIs
StatePublished - May 10 2017
Event2017 IEEE Wireless Communications and Networking Conference, WCNC 2017 - San Francisco, United States
Duration: Mar 19 2017Mar 22 2017

Other

Other2017 IEEE Wireless Communications and Networking Conference, WCNC 2017
CountryUnited States
CitySan Francisco
Period3/19/173/22/17

Fingerprint

Controllers
Network architecture
Base stations
Lyapunov methods

ASJC Scopus subject areas

  • Engineering(all)

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 2017 - Proceedings [7925773] Institute of Electrical and Electronics Engineers Inc.. 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 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. 7925773.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 2017 - Proceedings., 7925773, Institute of Electrical and Electronics Engineers Inc., 2017 IEEE Wireless Communications and Networking Conference, WCNC 2017, San Francisco, United States, 3/19/17. https://doi.org/10.1109/WCNC.2017.7925773
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 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2017. 7925773 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 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017.
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