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Hayder Almosa

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affiliation (PhD 2019): University of Kansas, Department of Electrical Engineering and Computer Science, Lawrence, KS, USA

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Books and Theses

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2019
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Hayder Almosa:
Downlink Achievable Rate Analysis for FDD Massive MIMO Systems. University of Kansas, Lawrence, USA, 2019

Journal Articles

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2023
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Hayder Almosa, Yahya J. Harbi, Mohammed Al-Dulaimi, Alister G. Burr:
Performance Analysis of DoA Estimation for FDD Cell Free Systems Based on Compressive Sensing Technique. J. Commun. 18(10): 658-664 (2023)

Conference and Workshop Papers

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2019
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Susanna Mosleh, Hayder Almosa, Erik Perrins, Lingjia Liu:
Downlink Resource Allocation in Cell-Free Massive MIMO Systems. ICNC 2019: 883-887
2018
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Hayder Almosa, Susanna Mosleh, Erik S. Perrins, Lingjia Liu:
Downlink Channel Estimation with Limited Feedback for FDD Multi-User Massive MIMO with Spatial Channel Correlation. ICC 2018: 1-6
2017
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Hayder Almosa, Rubayet Shafin Bradley Shafin, Susanna Mosleh, Zhou Zhou, Yi Li, Jianzhong Zhang, Lingjia Liu:
Downlink channel estimation and precoding for FDD 3D Massive MIMO/FD-MIMO systems. WOCC 2017: 1-4

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