Computationally efficient energy optimization for cloud radio access networks with CSI uncertainty

Wang, Yong, Ma, Lin, Xu, Yubin, and Xiang, Wei (2017) Computationally efficient energy optimization for cloud radio access networks with CSI uncertainty. IEEE Transactions on Communications, 65 (12). pp. 5499-5513.

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Abstract

This paper studies robust energy optimization for the cloud radio access network (C-RAN). The objective of this paper is to jointly minimize network power consumption through optimizing the base station (BS) mode, multi-user (MU)-BS association, and beamforming vectors given imperfect channel state information (CSI). To solve this non-trivial problem, we first transform the problem to a semi-definite programming (SDP) one using the S-lemma with the aid of the semi-definite relaxation technique, and then propose a SDP-based group sparse beamforming approach to solve it iteratively. Since the computational complexity of solving SDP problems is intractable, we propose to translate the uncertainty in the CSI to the uncertainty in its covariance matrix, and then recast the original problem as a mixed-integer second-order cone programming problem. We further propose a two-stage rank selection framework to determine the BS mode and MU-BS association separately and successively. Simulation results demonstrate the convergence of our proposed algorithms, and validate the effectiveness of the proposed algorithms in minimizing the network power consumption of the C-RAN.

Item ID: 51967
Item Type: Article (Research - C1)
ISSN: 1558-0857
Keywords: C-RAN, green communications, CSI uncertainty, semi-definite relaxation, convex programming
Funders: National Natural Science Foundation of China (NNSFC), Heilongjiang Province Natural Science Foundation (HPNSF)
Projects and Grants: NNSFC grant no. 61571162, HPNSF grant no. F2016019
Date Deposited: 10 Jan 2018 07:58
FoR Codes: 10 TECHNOLOGY > 1005 Communications Technologies > 100510 Wireless Communications @ 100%
SEO Codes: 89 INFORMATION AND COMMUNICATION SERVICES > 8901 Communication Networks and Services > 890103 Mobile Data Networks and Services @ 100%
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