Low-complexity soft-output signal detection based on Gauss–Seidel method for uplink multiuser large-scale MIMO systems
For uplink large-scale multiple-input-multiple-output (MIMO) systems, the minimum mean
square error (MMSE) algorithm is near optimal but involves matrix inversion with high …
square error (MMSE) algorithm is near optimal but involves matrix inversion with high …
[PDF][PDF] Low-Complexity Soft-Output Signal Detection Based on Gauss-Seidel Method for Uplink Multi-User Large-Scale MIMO Systems
L Dai, X Gao, X Su, S Han, I Chih-Lin… - arXiv preprint arXiv …, 2014 - Citeseer
For uplink large-scale MIMO systems, minimum mean square error (MMSE) algorithm is
near-optimal but involves matrix inversion with high complexity. In this paper, we propose to …
near-optimal but involves matrix inversion with high complexity. In this paper, we propose to …
Low-Complexity Soft-Output Signal Detection Based on Gauss-Seidel Method for Uplink Multi-User Large-Scale MIMO Systems
L Dai, X Gao, X Su, S Han, Z Wang - arXiv preprint arXiv:1411.2791, 2014 - arxiv.org
For uplink large-scale MIMO systems, minimum mean square error (MMSE) algorithm is
near-optimal but involves matrix inversion with high complexity. In this paper, we propose to …
near-optimal but involves matrix inversion with high complexity. In this paper, we propose to …
Low-Complexity Soft-Output Signal Detection Based on Gauss-Seidel Method for Uplink Multi-User Large-Scale MIMO Systems
L Dai, X Gao, X Su, S Han, Z Wang - arXiv e-prints, 2014 - ui.adsabs.harvard.edu
For uplink large-scale MIMO systems, minimum mean square error (MMSE) algorithm is
near-optimal but involves matrix inversion with high complexity. In this paper, we propose to …
near-optimal but involves matrix inversion with high complexity. In this paper, we propose to …
Low-Complexity Soft-Output Signal Detection Based on Gauss–Seidel Method for Uplink Multiuser Large-Scale MIMO Systems
L Dai, X Gao, X Su, S Han, I Chih-Lin… - IEEE Transactions on …, 2015 - infona.pl
For uplink large-scale multiple-input–multiple-output (MIMO) systems, the minimum mean
square error (MMSE) algorithm is near optimal but involves matrix inversion with high …
square error (MMSE) algorithm is near optimal but involves matrix inversion with high …
Low-Complexity Soft-Output Signal Detection Based on Gauss–Seidel Method for Uplink Multiuser Large-Scale MIMO Systems
L Dai, X Gao, X Su, SY Han, Z Wang - IEEE Transactions on Vehicular …, 2015 - trid.trb.org
For uplink large-scale multiple-input–multiple-output (MIMO) systems, the minimum mean
square error (MMSE) algorithm is near optimal but involves matrix inversion with high …
square error (MMSE) algorithm is near optimal but involves matrix inversion with high …
[引用][C] Low-Complexity Soft-Output Signal Detection Based on Gauss–Seidel Method for Uplink Multiuser Large-Scale MIMO Systems
L Dai, X Gao, X Su, S Han - IEEE Transactions on Vehicular …, 2015 - cir.nii.ac.jp
Low-Complexity Soft-Output Signal Detection Based on Gauss–Seidel Method for Uplink
Multiuser Large-Scale MIMO Systems | CiNii Research CiNii 国立情報学研究所 学術情報 …
Multiuser Large-Scale MIMO Systems | CiNii Research CiNii 国立情報学研究所 学術情報 …