University of Oulu

X. Chen, Z. Han, Z. Chang, G. Xue, H. Zhang and M. Bennis, "Adapting Downlink Power in Fronthaul-Constrained Hierarchical Software-Defined RANs," 2017 IEEE Wireless Communications and Networking Conference (WCNC), San Francisco, CA, 2017, pp. 1-6.

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

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Author: Chen, Xianfu1; Han, Zhu2,3; Chang, Zheng4;
Organizations: 1VTT Technical Research Centre of Finland, Finland
2Department of Electrical and Computer Engineering, University of Houston, Houston, TX, USA
3Department of Computer Science, University of Houston, Houston, TX, USA
4Department of Mathematical Information Technology, University of Jyväskylä, Finland
5Ira A. Fulton Schools of Engineering, Arizona State University, Tempe, AZ, USA
6College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China
7Centre for Wireless Communications, University of Oulu, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.3 MB)
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Language: English
Published: Institute of Electrical and Electronics Engineers, 2017
Publish Date: 2018-07-30


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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Series: IEEE Wireless Communications and Networking Conference
ISSN: 1525-3511
ISSN-E: 1558-2612
ISSN-L: 1525-3511
ISBN: 978-1-5090-4183-1
ISBN Print: 978-1-5090-4184-8
Pages: 1 - 6
DOI: 10.1109/WCNC.2017.7925773
Host publication: 2017 IEEE Wireless Communications and Networking Conference (WCNC)
Conference: IEEE Wireless Communications and Networking Conference
Type of Publication: A4 Article in conference proceedings
Field of Science: 213 Electronic, automation and communications engineering, electronics
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