2017/05/08 by Ramina Ghods, Charles Jeon, Ghods, Ramina +7
Computer Science · Engineering · #Advanced MIMO Systems Optimization #Advanced Wireless Communication Techniques #Cooperative Communication and Network Coding #FOS: Computer and information sciences #FOS: Electrical engineering #Information Theory (cs.IT) #Signal Processing (eess.SP) #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.1705.02985
openalex publication_date 2017/05/08 · openalex created_date 2022/10/02 · openalex updated_date 2026/07/28
This paper deals with linear equalization in massive multi-user\nmultiple-input multiple-output (MU-MIMO) wireless systems. We first provide\nsimple conditions on the antenna configuration for which the well-known linear\nminimum mean-square error (L-MMSE) equalizer provides near-optimal spectral\nefficiency, and we analyze its performance in the presence of parameter\nmismatches in the signal and/or noise powers. We then propose a novel,\noptimally-tuned NOnParametric Equalizer (NOPE) for massive MU-MIMO systems,\nwhich avoids knowledge of the transmit signal and noise powers altogether. We\nshow that NOPE achieves the same performance as that of the L-MMSE equalizer in\nthe large-antenna limit, and we demonstrate its efficacy in realistic,\nfinite-dimensional systems. From a practical perspective, NOPE is\ncomputationally efficient and avoids dedicated training that is typically\nrequired for parameter estimation\n