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Energy efficient precoding C-RAN downlink with compression at fronthaul

Nguyen, Kien-Giang; Vu, Quang-Doanh; Juntti, Markku; Tran, Le-Nam (2017-07-31)

 
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URL:
https://doi.org/10.1109/ICC.2017.7996949

Nguyen, Kien-Giang
Vu, Quang-Doanh
Juntti, Markku
Tran, Le-Nam
Institute of Electrical and Electronics Engineers
31.07.2017

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

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https://rightsstatements.org/vocab/InC/1.0/
doi:https://doi.org/10.1109/ICC.2017.7996949
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https://urn.fi/URN:NBN:fi-fe2018062826597
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Abstract

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.

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