Low-Complexity Distributed XL-MIMO for Multiuser Detection

In this paper, the zero-forcing and regularized zero-forcing schemes operating in crowded extra-large MIMO (XL-MIMO) scenarios with a fixed number of subarrays have been emulated using the randomized Kaczmarz algorithm (rKA). For that, non-stationary properties have been deployed through the concept...

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Bibliographic Details
Main Authors: Rodrigues, Victor Croisfelt, Amiri, Abolfazl, Abrao, Taufik, de Carvalho, Elisabeth, Popovski, Petar
Format: Conference Proceeding
Language:English
Subjects:
Antenna arrays
Computational complexity
Convergence
MIMO communication
Optimization
Signal to noise ratio
Online Access:Request full text
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Summary:In this paper, the zero-forcing and regularized zero-forcing schemes operating in crowded extra-large MIMO (XL-MIMO) scenarios with a fixed number of subarrays have been emulated using the randomized Kaczmarz algorithm (rKA). For that, non-stationary properties have been deployed through the concept of visibility regions when considering two different power normalization methods of non-stationary channels. We address the randomness design of rKA based on the exploitation of spatial non-stationary properties. Numerical results show that, in general, the proposed rKA-based combiner applicable to XL-MIMO systems can considerably decrease computational complexity of the signal detector by paying with small performance losses.
ISSN:2474-9133
DOI:10.1109/ICCWorkshops49005.2020.9145378