2021/08/13 by Emre Gönültaş, Gönültaş, Emre, Sueda Taner +7 · 1 citation
Engineering · #FOS: Computer and information sciences #FOS: Electrical engineering #Information Theory (cs.IT) #Microwave Engineering and Waveguides #Millimeter-Wave Propagation and Modeling #Radio Frequency Integrated Circuit Design #Signal Processing (eess.SP) #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2108.06229
openalex publication_date 2021/08/13 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Massive multi-user multiple-input multiple-output (MU-MIMO) wireless systems\noperating at millimeter-wave (mmWave) frequencies enable simultaneous wideband\ndata transmission to a large number of users. In order to reduce the complexity\nof MU precoding in all-digital basestation architectures, we propose a\ntwo-stage precoding architecture that first performs precoding using a sparse\nmatrix in the beamspace domain, followed by an inverse fast Fourier transform\nthat converts the result to the antenna domain. The sparse precoding matrix\nrequires a small number of multipliers and enables regular hardware\narchitectures, which allows the design of hardware-efficient all-digital\nprecoders. Simulation results demonstrate that our methods approach the\nerror-rate of conventional Wiener filter precoding with more than 2x reduced\ncomplexity.\n