A Generalized Matched Filter Framework for Massive MIMO Systems
Year: 2017
Type: preprint
Abstract: We present a novel framework for low-complexity precoder design well-suited for cellular massive MIMO systems. Our framework allows to exploit the channel structure in terms of covariance matrices to improve the performance in the face of interference during the channel training, while basically keeping the complexity of a matched filter precoder. The proposed design generalizes previous approaches to precoder design for massive MIMO and exhibits significant performance gains in numerical simulations. We further show by asymptotic analysis that with the proposed precoder design the capacity grows without bound for growing numbers of antennas even in the presence of pilot-contamination.
Source: arXiv (Cornell University)
Authors: David Neumann, Thomas Wiese, Michael Joham, Wolfgang Utschick
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2740398879