K. G. Nguyen, Q. D. Vu, M. Juntti and L. N. Tran, "Energy efficient preceding C-RAN downlink with compression at fronthaul," 2017 IEEE International Conference on Communications (ICC), Paris, 2017, pp. 1-6. doi: 10.1109/ICC.2017.7996949
Energy efficient precoding C-RAN downlink with compression at fronthaul
|Author:||Nguyen, Kien-Giang1; Vu, Quang-Doanh1; Juntti, Markku1;|
1Centre for Wireless Communications, University of Oulu, P.O.Box 4500, FI-90014 University of Oulu, Finland
2Department of Electronic Engineering, Maynooth Uni versity, Ireland
|Online Access:||PDF Full Text (PDF, 0.1 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2018062826597
Institute of Electrical and Electronics Engineers,
|Publish Date:|| 2018-06-28
This paper considers a downlink transmission of cloud radio access network (C-RAN) in which precoded baseband signals at a common baseband unit are compressed before being forwarded to radio units (RUs) through limited fronthaul capacity links. We investigate the joint design of precoding, multivariate compression and RU-user selection which maximizes the energy efficiency of downlink C-RAN networks. The considered problem is inherently a rank-constrained mixed Boolean nonconvex program for which a globally optimal solution is difficult and computationally expensive to find. In order to derive practically appealing solutions, we invoke some useful relaxation and transformation techniques to arrive at a more tractable (but still nonconvex) continuous program. To solve the relaxation problem, we propose an iterative procedure based on DC algorithms which is provably convergent. Numerical results demonstrate the superior of the proposed solution in terms of achievable energy efficiency compared to existing schemes.
IEEE International Conference on Communications
2017 IEEE International Conference on Communications (ICC), 21-25 May 2017, Paris, France
IEEE International Conference on Communication
|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 Academy of Finland under projects Message and CSI Sharing for Cellular Interference Management with Backhaul Constraints (MESIC) belonging to the WiFIUS program with NSF, and Wireless Connectivity for Internet of Everything (WiConIE), and the HPY Research Foundation. This project has been co-funded by the Irish Government and the European Union under Ireland’s EU Structural and Investment Funds Programmes 2014-2020 through the SFI Research Centres Programme under Grant 13/RC/2077.
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