Joint design of digital and analog processing for downlink C-RAN with large-scale antenna arrays

Document Type

Conference Proceeding

Publication Date

12-19-2017

Abstract

In millimeter-wave communication systems with large-scale antenna arrays, conventional digital beamforming may not be cost-effective. A promising solution is the implementation of hybrid beamforming techniques, which consist of low-dimensional digital beamforming followed by analog radio frequency (RF) beamforming. This work studies the optimization of hybrid beamforming in the context of a cloud radio access network (C-RAN) architecture. In a C-RAN system, digital baseband signal processing functionalities are migrated from remote radio heads (RRHs) to a baseband processing unit (BBU) in the 'cloud' by means of finite-capacity fronthaul links. Specifically, this work tackles the problem of jointly optimizing digital beamforming and fronthaul quantization strategies at the BBU, as well as RF beamforming at the RRHs, with the goal of maximizing the weighted downlink sum-rate. Fronthaul capacity and per-RRH power constraints are enforced along with constant modulus constraints on the RF beamforming matrices. An iterative algorithm is proposed that is based on successive convex approximation and on the relaxation of the constant modulus constraint. The effectiveness of the proposed scheme is validated by numerical simulation results.

Identifier

85044238057 (Scopus)

ISBN

[9781509030088]

Publication Title

IEEE Workshop on Signal Processing Advances in Wireless Communications Spawc

External Full Text Location

https://doi.org/10.1109/SPAWC.2017.8227789

First Page

1

Last Page

5

Volume

2017-July

Grant

1525629

Fund Ref

National Science Foundation

This document is currently not available here.

Share

COinS