4.7 Article

Spherical Wavefronts Improve MU-MIMO Spectral Efficiency When Using Electrically Large Arrays

Journal

IEEE WIRELESS COMMUNICATIONS LETTERS
Volume 12, Issue 7, Pages 1219-1223

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LWC.2023.3268087

Keywords

near-field focusing; mm-Wave and sub-THz communications; Fraunhofer distance; spherical wavefronts

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This letter presents experimental evidence that the classical far-field approximation underestimates the achievable spectral efficiency of multi-user MIMO communications in the 30-GHz bands and above, even at ranges beyond the Fraunhofer distance. For planar arrays with typical sizes, computing combining schemes based on the far-field model significantly reduces channel gain and spatial multiplexing capability. In contrast, using the radiative near-field model, interference rejection schemes, such as the optimal minimum mean-square-error combiner, appear to be very promising when combined with electrically large arrays to meet the requirements of next-generation networks.
Modern multiple-input multiple-output (MIMO) communication systems are almost exclusively designed assuming locally plane wavefronts over antenna arrays. This is known as the far-field approximation and is soundly justified at sub-6-GHz frequencies at most relevant transmission ranges. However, when higher frequencies and shorter transmission ranges are used, the wave curvature over the array is no longer negligible, and arrays operate in the so-called radiative near-field region. This letter aims to show that the classical far-field approximation may significantly underestimate the achievable spectral efficiency of multi-user MIMO communications operating in the 30-GHz bands and above, even at ranges beyond the Fraunhofer distance. For planar arrays with typical sizes, we show that computing combining schemes based on the far-field model significantly reduces channel gain and spatial multiplexing capability. When the radiative near-field model is used, interference rejection schemes, such as the optimal minimum mean-square-error combiner, appear to be very promising, when combined with electrically large arrays, to meet the requirements of next-generation networks.

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