Sum-rate Maximization in Uplink CRAN with a Massive MIMO Fronthaul

Maryopi, D.; Yingjia, H.; Ikhlef, A.

Abstract

The limited fronthaul capacity is known to be one of the main problems in cloud radio access networks (CRANs), especially in the wireless fronthaul links. In this paper, we consider the uplink of a CRAN system, where massive multiple-input multiple-output (MIMO) is utilized in the fronthaul link. Considering multi-antenna user equipment (UEs) and multi-antenna remote radio heads (RRHs), we maximize the system sum-rate by jointly optimizing the precoders at the UEs and the quantization noise covariance matrices and transmit powers at the RRHs. To solve the resulting nonconvex problem, an iterative algorithm based on the majorization-minimization (MM) method is proposed. Two schemes at the central unit are considered, namely maximum ratio (MR) and zero-forcing (ZF) combining. Numerical results show that the sum-rate has an asymptotic behaviour with respect to the maximum available power at RRHs and that the MR scheme goes to its asymptote faster than the ZF scheme.

Citation

Maryopi, D., Yingjia, H., & Ikhlef, A. (2021, December). Sum-rate Maximization in Uplink CRAN with a Massive MIMO Fronthaul. Presented at 2021 IEEE GLOBECOM Workshops, Madrid, Spain

• Presentation Conference Type: Conference Paper (published)
• Conference Name: 2021 IEEE GLOBECOM Workshops
• Start Date: Dec 7, 2021
• End Date: Dec 11, 2021
• Acceptance Date: Sep 16, 2021
• Online Publication Date: Jan 24, 2022
• Publication Date: 2021
• Deposit Date: Oct 18, 2021
• Publisher: Institute of Electrical and Electronics Engineers
• DOI: https://doi.org/10.1109/GCWkshps52748.2021.9681970
• Keywords: Wireless communication , Quantization (signal) , Precoding , Massive MIMO , Minimization , MIMO , Iterative methods
• Public URL: https://durham-repository.worktribe.com/output/1139756