University of Oulu

G. Venkatraman, A. Tölli, J. Kaleva and M. Juntti, "Transmit beamformer and quantization design for multi-carrier CRAN CoMP," 2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP), Washington, DC, 2016, pp. 640-644. doi: 10.1109/GlobalSIP.2016.7905920

Transmit beamformer and quantization design for multi-carrier CRAN CoMP

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Author: Venkatraman, Ganesh1; Tölli, Antti1; Kaleva, Jarkko1;
Organizations: 1Centre for Wireless Communications (CWC) - Radio Technologies, University of Oulu, Finland - FI-90014, P.O. Box 4500
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.5 MB)
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Language: English
Published: Institute of Electrical and Electronics Engineers, 2016
Publish Date: 2018-08-07


We consider the problem of designing transmit beamformers for a multi-carrier joint processing coordinated multi-point (CoMP) transmission with finite backhaul capacity. We assume a Cloud Radio access network (CRAN) wherein the beamformers are designed centrally, quantized and sent via the backhaul to the respective base stations (BSs). The beamformer design becomes a nonconvex combinatorial problem with the user selection, which is also modeled as a part of our problem. In order to avoid the combinatorial search, we relax the binary association variable by a linear one and the nonconvex sets by a sequence of convex subsets by the successive convex approximation (SCA) method. Thereby, we design the beamformers by iteratively solving a convex subproblem in each SCA iteration. Additionally, to enforce sparsity in the relaxed binary variable, we regularize the objective with the associated entropy measure to enforce a binary solution. Since the beamformers are notified via backhaul to the respective BSs, we include the beamformer overhead also in the backhaul usage in addition to data sharing. Numerical results are provided to illustrate the performance of the proposed designs.

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ISBN: 978-1-5090-4545-7
ISBN Print: 978-1-5090-4546-4
Pages: 640 - 644
DOI: 10.1109/GlobalSIP.2016.7905920
Host publication: 2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP)
Conference: IEEE Global Conference on Signal and Information Processing
Type of Publication: A4 Article in conference proceedings
Field of Science: 213 Electronic, automation and communications engineering, electronics
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