2020/03/03 by Harsh Tataria, Tataria, Harsh, Fredrik Tufvesson +1
Engineering · #Advanced MIMO Systems Optimization #Advanced Wireless Communication Techniques #FOS: Computer and information sciences #FOS: Electrical engineering #Information Theory (cs.IT) #Millimeter-Wave Propagation and Modeling #Signal Processing (eess.SP) #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2003.01653
openalex publication_date 2020/03/03 · openalex created_date 2022/07/26 · openalex updated_date 2026/07/28
The premise of massive multiple-input multiple-output (MIMO) is based around\ncoherent transmission and detection. Majority of the vast literature on massive\nMIMO presents performance evaluations over simplified statistical propagation\nmodels. All such models are drop-based and do not ensure continuity of channel\nparameters. In this paper, we quantify the impact of spatially consistent (SC)\nmodels on beamforming for massive MIMO systems. We focus on the downlink of a\n28GHz multiuser urban microcellular scenario. Using the recently standardized\nThird Generation Partnership Project 38.901 SC-I procedure, we evaluate the\nsignal-to-interference-plus-noise ratio of a user equipment and the system\nergodic sum spectral efficiency with zero-forcing, block diagonalization, and\nsignal-to-leakage-plus-noise ratio beamforming. Our results disclose that at\npractical signal-to-noise ratio levels, SC channels yield a significant\nperformance loss relative to the case without SC due to substantial spatial\ncorrelation across the channel parameters.\n