Uplink SINR and rate analysis in massive MIMO systems with two-layer linear receiver
Wahiba Abid (),
Sébastien Roy and
Mohamed Lassaad Ammari
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Wahiba Abid: University of Carthage
Sébastien Roy: University of Sherbrooke
Mohamed Lassaad Ammari: University of Carthage
Telecommunication Systems: Modelling, Analysis, Design and Management, 2023, vol. 83, issue 2, No 6, 177-188
Abstract:
Abstract In a previous work, a two-layer linear receiver was proposed as a low-complexity scheme that can achieve a good trade-off between performance and complexity in a massive multiple-input multiple-output (MIMO) context. For this scheme, the antenna array is split up into a number of subsets and multi-cell minimum mean-square-error (M-MMSE) combining is applied in each subset at the first layer. Then, the resulting outputs are combined using maximal-ratio combining (MRC) at the second layer. This paper presents a more complete performance analysis. First, we provide an entirely analytical derivation of the distribution of the output signal-to-noise-and-interference ratio (SINR) of first-layer processing based on multivariate statistical theory. The analysis includes both cases where the subset size is smaller or greater than the total number of signals. Furthermore, upper bounds and approximations on the average uplink SINR and achievable rate are derived. Numerical simulations confirm our analysis results.
Keywords: Massive MIMO; Two-layer linear receiver; M-MMSE; SINR; achievable rate; Inter-cell interference (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:telsys:v:83:y:2023:i:2:d:10.1007_s11235-023-01003-7
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DOI: 10.1007/s11235-023-01003-7
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