2016/07/05 by Gökhan M. Güvensen, Guvensen, Gokhan M., Ender Ayanoğlu +1
Engineering · #Advanced MIMO Systems Optimization #Antenna Design and Optimization #FOS: Computer and information sciences #Full-Duplex Wireless Communications #Information Theory (cs.IT)
paper · pdf · doi:10.48550/arxiv.1607.01436
openalex publication_date 2016/07/05 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
In this paper, we establish a general framework on the reduced dimensional\nchannel state information (CSI) estimation and pre-beamformer design for\nfrequency-selective massive multiple-input multiple-output MIMO systems\nemploying single-carrier (SC) modulation in time division duplex (TDD) mode by\nexploiting the joint angle-delay domain channel sparsity in millimeter (mm)\nwave frequencies. First, based on a generic subspace projection taking the\njoint angle-delay power profile and user-grouping into account, the reduced\nrank minimum mean square error (RR-MMSE) instantaneous CSI estimator is derived\nfor spatially correlated wideband MIMO channels. Second, the statistical\npre-beamformer design is considered for frequency-selective SC massive MIMO\nchannels. We examine the dimension reduction problem and subspace (beamspace)\nconstruction on which the RR-MMSE estimation can be realized as accurately as\npossible. Finally, a spatio-temporal domain correlator type reduced rank\nchannel estimator, as an approximation of the RR-MMSE estimate, is obtained by\ncarrying out least square (LS) estimation in a proper reduced dimensional\nbeamspace. It is observed that the proposed techniques show remarkable\nrobustness to the pilot interference (or contamination) with a significant\nreduction in pilot overhead.\n