Comparison of the Effectiveness of Methods for Eliminating Interuser Interference in MU-MIMO LEO Satellite

This paper investigates the effectiveness of inter-user interference cancellation algorithms in a low earth orbit (LEO) satellite constellation with multi-user MIMO (MU-MIMO). One of the important problems of systems with multi-user MIMO is the problem of inter-user interference suppression. This problem is particularly relevant for LEO satellite constellations due to the small spatial diversity and high spatial correlation. Within the scope of this paper, a comparative analysis of the performance of inter-user interference cancellation algorithms such as Block Diagonalization Zero Forcing and Dirty Paper Coding (DPC) has been carried out. For realistic channel modelling, the QuaDRiGa stochastic channel model generator developed at Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute, HHI was used [1], [2].

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Published
2024-12-25
DOI
https://doi.org/10.1109/icspis65223.2024.10931069
Citations
1
Primary Topic
Advanced MIMO Systems Optimization
Type
article
Field-Weighted Citation Impact
0.21
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article

Comparison of the Effectiveness of Methods for Eliminating Interuser Interference in MU-MIMO LEO Satellite

Eugeniy V. Rogozhnikov, Sergey Yu. Zemlyanukhin
1 citations
Advanced MIMO Systems Optimization
0.21
article

Comparison of the Effectiveness of Methods for Eliminating Interuser Interference in MU-MIMO LEO Satellite

Eugeniy V. Rogozhnikov, Sergey Yu. Zemlyanukhin
article en
1 citations

Abstract

This paper investigates the effectiveness of inter-user interference cancellation algorithms in a low earth orbit (LEO) satellite constellation with multi-user MIMO (MU-MIMO). One of the important problems of systems with multi-user MIMO is the problem of inter-user interference suppression. This problem is particularly relevant for LEO satellite constellations due to the small spatial diversity and high spatial correlation. Within the scope of this paper, a comparative analysis of the performance of inter-user interference cancellation algorithms such as Block Diagonalization Zero Forcing and Dirty Paper Coding (DPC) has been carried out. For realistic channel modelling, the QuaDRiGa stochastic channel model generator developed at Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute, HHI was used [1], [2].

Tomsk State University of Control Systems and Radio-Electronics (RU)
Openalex Percentile: Top 43%
Advanced MIMO Systems Optimization
0.21
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