University of Oulu

Q. D. Vu, K. G. Nguyen and M. Juntti, "Weighted Max–Min Fairness for C-RAN Multicasting Under Limited Fronthaul Constraints," in IEEE Transactions on Communications, vol. 66, no. 4, pp. 1534-1548, April 2018. doi: 10.1109/TCOMM.2017.2786664

Weighted max–min fairness for C-RAN multicasting under limited fronthaul constraints

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Author: Vu, Quang-Doanh1; Nguyen, Kien-Giang1; Juntti, Markku1
Organizations: 1Centre for Wireless Communications, University of Oulu, 90014 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, 2018
Publish Date: 2018-07-05


We consider downlink transmission in cloud radio access networks with multiple cochannel multicasting groups served by a group of remote radio heads (RRHs), which receive information from a base band unit via finite-capacity fronthaul links. Our aim is to jointly design RRH selection and beamforming vectors such that the minimum weighted data rate among users is maximized under the constraints of maximum transmit power and fronthaul capacity at each specific RRH. The problem is intractable due to the numerical difficulties of combination and nonconvex functions. Based on a semidefinite relaxation technique, bisection search, and a branch-and-bound method, we develop an upper bound, which is also the optimal solution to the original problem if the relaxation is tight. More importantly, we propose a heuristic low-complexity iterative procedure for practical applications based on the state-of-the-art sequential convex approximation. Subsequently, we modify the proposed methods for the uncertain channel state information case. To be specific, the upper bound and its suboptimal solution are altered based on the S-lemma while the low-complexity algorithm is tailored by using two different approximations of intractable robust counterpart. The validity of the proposed methods in the region of limited fronthaul capacity is confirmed by numerical results.

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Series: IEEE transactions on communications
ISSN: 0090-6778
ISSN-E: 1558-0857
ISSN-L: 0090-6778
Volume: 66
Issue: 4
Pages: 1534 - 1548
DOI: 10.1109/TCOMM.2017.2786664
Type of Publication: A1 Journal article – refereed
Field of Science: 213 Electronic, automation and communications engineering, electronics
Funding: 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 31089.
Academy of Finland Grant Number: 297803
Detailed Information: 297803 (Academy of Finland Funding decision)
310898 (Academy of Finland Funding decision)
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