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This paper investigates the effect of correlation based subarray grouping in low computational massive multiple input multiple output (MIMO) multiuser ...
ABSTRACT. This paper investigates the effect of correlation based sub- array grouping in low computational massive multiple in- put multiple output (MIMO) ...
This paper investigates the effect of correlation based subarray grouping in low computational massive multiple input multiple output (MIMO) multiuser ...
This paper investigates the effect of correlation based subarray grouping in low computational massive multiple input multiple output (MIMO) multiuser ...
Apr 15, 2020 · In this paper, we investigate the uplink and downlink performance of single cell Massive multiple-input multiple-output (MIMO) system under channel varying ...
Missing: Subarray | Show results with:Subarray
Performance Improvement by Correlation Grouping in Subarray Based Massive MIMO Design ... This paper investigates the effect of correlation based subarray ...
May 10, 2023 · Array decorrelation techniques have been proposed, achieving correlation reductions by either tilting the antenna beams or shifting the phase ...
Dec 18, 2023 · To fairly compare performance, subarray methods are applied and antennas are grouped in the same way as in Table 3. All three networks are ...
Jul 21, 2015 · In this paper, we provide a novel framework for FDD- based massive MIMO systems that achieves a reduction in the. CSI feedback overhead by ...
It can be shown that antenna grouping is an effective strategy for alleviating the loss of the multiplexing gain resulted from antenna correlation. In [16], ...
Missing: Subarray | Show results with:Subarray