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Joint Precoding and RRH selection for Green MIMO C-RAN

Pan, Cunhua, Zhu, Huiling, Gomes, Nathan J., Wang, Jiangzhou (2017) Joint Precoding and RRH selection for Green MIMO C-RAN. . (doi:10.1109/GLOCOM.2016.7841930) (KAR id:60376)

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Official URL
http://dx.doi.org/10.1109/GLOCOM.2016.7841930

Abstract

This paper jointly optimizes the precoding matrices and the set of active remote radio heads (RRHs) to minimize the network power consumption for a cloud radio access network (C-RAN) where both the RRHs and users all have multiple antennas. Both users’ rate requirements and per-RRH power constraints are considered. Due to these conflicting constraints, this optimization problem may be infeasible. We propose to solve this problem with two phases. In Phase I, a new approach is proposed to check the feasibility of the original problem. If the feasibility is guaranteed, in Phase II, a low-complexity algorithm is proposed to solve the original optimization problem. Simulation results demonstrate the rapid convergence of the proposed algorithms and the benefits of equipping multiple antennas at the user side.

Item Type: Article
DOI/Identification number: 10.1109/GLOCOM.2016.7841930
Projects: [UNSPECIFIED] intelligent Converged network consolIdating Radio and optical access aRound USer equipment
[UNSPECIFIED] iNtellIgent, heteRogeneous, VirtuAlised Networking infrAstructure
Uncontrolled keywords: precoding; power demand; minimization; algorithm design and analysis; antennas; optimization; MIMO
Subjects: T Technology > TK Electrical engineering. Electronics. Nuclear engineering > TK5101 Telecommunications > TK5103.4 Broadband communication systems
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: Huiling Zhu
Date Deposited: 14 Feb 2017 22:04 UTC
Last Modified: 16 Feb 2021 13:43 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/60376 (The current URI for this page, for reference purposes)
Gomes, Nathan J.: https://orcid.org/0000-0003-3763-3699
Wang, Jiangzhou: https://orcid.org/0000-0003-0881-3594
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