Dataset for Adaptive Transceiver Design for C-RAN in mmWave Communications

Abstract

An adaptive array design is proposed for hybrid beamforming in millimeter wave (mmWave) communications in the context of cloud radio access networks (C-RAN). More explicitly, the adaptive design focuses on the physical layer aspect of C-RAN. The adaptation is performed at two levels, depending on whether the channel is of line-of-sight (LOS) or non-line-of-sight (NLOS) nature. Firstly, the antenna array architecture can be adapted between a fully-connected and a sub-array-connected architecture. Then, the employment of a digital precoder in the baseband is decided based on both the channel conditions and the architecture employed. We show that the proposed adaptive design performs better than the fully-connected and sub-array-connected constituent designs, when the channel varies between LOS and NLOS scenarios. Then, we extend our proposed adaptive design to mmWave communications in the context of C-RAN, where we propose an adaptive virtual cell formation algorithm, where a user can be connected to one or two remote radio heads (RRHs), depending on the channel conditions.