On the Interference Cancellation by Reduced Channel Zero Forcing Class of Precodings in Massive MIMO Systems
Dmitry Mineev (1), Evgeny Bobrov (1, 2), Viktor Kuznetsov (1) ((1), Huawei Technologies, Russian Research Institute, Moscow Research Center, (2), M.V. Lomonosov Moscow State University, Russia)

TL;DR
This paper analyzes the interference cancellation capabilities of RCZF precoding combined with MMSE-IRC and QR-MLD receivers in massive MIMO systems, demonstrating their asymptotic equivalence and interference suppression through theoretical and simulation results.
Contribution
It introduces and proves the asymptotic equivalence of RCZF precoding with MMSE-IRC and QR-MLD receivers, highlighting their effectiveness in interference cancellation in massive MIMO.
Findings
RCZF precoding combined with MMSE-IRC and QR-MLD achieves asymptotic interference suppression
Analytical proof of asymptotic equivalence between the precoding and receiver schemes
Simulation results confirm complete interference cancellation asymptotically
Abstract
In this paper, we study the interference cancellation capabilities of receivers and transmitters in multiple-input-multiple-output (MIMO) systems using theoretical calculations and numerical simulations in Quadriga. We study so-called Reduced Channel Zero-Forcing (RCZF) class of precoding as well as Minimum MSE Interference Rejection Combiner (MMSE-IRC) and QR Maximum Likelihood Detection (QR-MLD) receivers. Based on very simple but extremely useful algebraic manipulations, their asymptotical equivalence is proven analytically and demonstrated via simulations. Our theoretical and experimental results confirm that MMSE-IRC and QR-MLD receivers in combination with the RCZF precoding provide complete interference suppression asymptotically.
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Taxonomy
TopicsAdvanced MIMO Systems Optimization · Advanced Wireless Communication Techniques · Wireless Communication Networks Research
