Adapting downlink power in fronthaul-constrained hierarchical software-defined RANs
Chen, Xianfu; Han, Zhu; Chang, Zheng; Xue, Guoliang; Zhang, Honggang; Bennis, Mehdi (2017-05-11)
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.
© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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.
- Avoin saatavuus