K. Nguyen, Q. Vu, L. Tran and M. Juntti, "Globally Optimal Energy Efficiency Maximization for Capacity-Limited Fronthaul Crans with Dynamic Power Amplifiers’ Efficiency," 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Calgary, AB, 2018, pp. 3759-3763. doi: 10.1109/ICASSP.2018.8461308
Globally optimal energy efficiency maximization for capacity-limited fronthaul crans with dynamic power amplifiers’ efficiency
|Author:||Nguyen, Kien-Giang1; Vu, Quang-Doanh1; Tran, Le-Nam2;|
1Centre for Wireless Communications, University of Oulu, P. O. Box 4500, FI-90014, Finland
2School of Electrical and Electronic Engineering, University College Dublin, Ireland
|Online Access:||PDF Full Text (PDF, 0.2 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2019040411064
Institute of Electrical and Electronics Engineers,
|Publish Date:|| 2019-04-04
A joint beamforming and remote radio head (RRH)-user association design for downlink of cloud radio access networks (CRANs) is considered. The aim is to maximize the system energy efficiency subject to constraints on users’ quality-of-service, capacity of front haul links and transmit power. Different to the conventional power consumption models, we embrace the dependence of baseband signal processing power on the data rate, and the dynamics of the power amplifiers’ efficiency. The considered problem is a mixed Boolean nonconvex program whose optimal solution is difficult to find. As our main contribution, we provide a discrete branch-reduce-and-bound (DBRnB) approach to solve the problem globally. We also make some modifications to the standard DBRnB procedure. Those remarkably improve the convergence performance. Numerical results are provided to confirm the validity of the proposed method.
Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing
|Pages:||3759 - 3763|
2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
IEEE International Conference on Acoustics, Speech and Signal Processing
|Type of Publication:||
A4 Article in conference proceedings
|Field of Science:||
213 Electronic, automation and communications engineering, electronics
This work was supported in part by the projects “Wireless Connectivity for Internet of Everything-Energy Efficient Transceiver and System Design (WiConIE)” funded by Academy of Finland under Grant 297803, and “Flexible Uplink-Downlink Resource Management for Energy and Spectral Efficiency Enhancing in Future Wireless Networks (FURMESFuN)” funded by Academy of Finland under Grant 310898. It was also supported by Tauno Tönning Foundation, Nokia Foundation, and Walter Ahlström Foundation.
|Academy of Finland Grant Number:||
297803 (Academy of Finland Funding decision)
310898 (Academy of Finland Funding decision)
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