Energy-Efficient Approach for Beamforming Design and BBUs Aggregation in Heterogeneous C-RAN

Mostafa M. Abdelhakam and Mahmoud M. Elmesalawy

2nd Europe – Middle East – North African Regional ITS Conference, Aswan 2019: Leveraging Technologies For Growth from International Telecommunications Society (ITS)

Abstract: Heterogeneous cloud radio access network (C-RAN) that combines the benefits of C-RAN and multi-tier heterogeneous networks (HetNets) is emerged as a novel network solution for improving both spectrum and energy efficiencies. In this work, we propose an energy-efficient approach that considers both RRHs beamforming design and BBUs aggregation in heterogeneous C-RAN. First, the problem is formulated as an optimization problem to maximize the weighted energy efficiency utility function subject to BBU processing capability, per-user quality-ofservice (QoS) requirement and per-RRH total transmit power constraints. Then, the optimization problem is decomposed into two sub problems. The first sub problem is a transmit beamforming vectors optimization problem. This problem is transformed to a weighted sum mean square error (MSE) minimization problem and solved using a weighted minimum mean square error (WMMSE) algorithm. The second sub problem is the BBUs aggregation problem. This problem is converted to a bin packing problem and we propose an algorithm based on the Best-Fit-Decreasing method to solve it. In order to show the effectiveness of the proposed energy-efficient approach, we compare it with different algorithms that are presented in the literature.

Keywords: Heterogeneous cloud radio access network; beamforming; weighted minimum mean square error (WMMSE); BestFit-Decreasing (search for similar items in EconPapers)
Date: 2019
New Economics Papers: this item is included in nep-ene and nep-upt
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Persistent link: https://EconPapers.repec.org/RePEc:zbw:itsm19:201740

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