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20202026
most citedTrade-offs in Decentralized Multi-Antenna Architectures: The WAX Decomposition

2 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SP2026

Trade-Offs in Decentralized Gigantic MIMO with Hard-Boundary Constraints

Juan Vidal Alegría, Joao Vieira, Ove Edfors

To maintain the antenna apertures offered by 5G massive MIMO systems operating at the sub-6GHz band, known as FR1, 6G base stations (BSs) using the upper-mid band, FR3, should incr…

eess.SP2025

Highly Parallel Singular Value Decomposition for Low-Latency MIMO Processing

Sijia Cheng, Liang Liu, Ove Edfors +1

Singular value decomposition (SVD) is widely used in wireless systems, including multiple-input multiple-output (MIMO) processing and dimension reduction in distributed MIMO (D-MIM…

cs.IT2023

Increased Multiplexing Gain with Reconfigurable Surfaces: Simultaneous Channel Orthogonalization and Information Embedding

Juan Vidal Alegria, Joao Vieira, Fredrik Rusek

Reconfigurable surface (RS) has been shown to be an effective solution for improving wireless communication links in general multi-user multiple-input multiple-output (MU-MIMO) set…

eess.SP2020★ 2 cited

Trade-offs in Decentralized Multi-Antenna Architectures: The WAX Decomposition

Juan Vidal Alegría, Fredrik Rusek, Ove Edfors

Current research on multi-antenna architectures is trending towards increasing the amount of antennas in the base stations (BSs) so as to increase the spectral efficiency. As a res…

eess.SP2020★ 2 cited

Trade-offs In Quasi-Decentralized Massive MIMO

Juan Vidal Alegría, Fredrik Rusek, Jesús Rodríguez Sánchez +1

Typical massive multiple-input multiple-output (MIMO) architectures consider a centralized approach, in which all baseband data received by each antenna has to be sent to a central…