Precoding and reception for ULA-based wide-aperture MIMO
An approach is presented to compute the capacity-achieving precoder and receiver for wide-aperture MIMO with uniform linear arrays in O(N2min) operations as opposed to the O(N2minNmax) required by the singular-value decomposition of the channel matrix; Nmin and Nmax are the smallest and largest of t...
| Autores: | , |
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| Tipo de documento: | artigo |
| Estado: | Versión aceptada para publicación |
| Data de publicação: | 2023 |
| País: | España |
| Recursos: | Universitat Pompeu Fabra |
| Repositório: | Repositorio Digital de la UPF |
| OAI Identifier: | oai:repositori.upf.edu:10230/59489 |
| Acesso em linha: | http://hdl.handle.net/10230/59489 http://dx.doi.org/10.1109/LWC.2023.3238037 |
| Access Level: | Acceso aberto |
| Palavra-chave: | Receiving antennas MIMO communication Precoding Linear antenna arrays Transmitting antennas Signal to noise ratio Matrix decomposition |
| Resumo: | An approach is presented to compute the capacity-achieving precoder and receiver for wide-aperture MIMO with uniform linear arrays in O(N2min) operations as opposed to the O(N2minNmax) required by the singular-value decomposition of the channel matrix; Nmin and Nmax are the smallest and largest of the numbers of transmit and receive antennas. This hefty reduction in complexity comes at no cost in performance provided a parabolic wavefront model applies over the arrays, which is the case if the array apertures are not overly large relative to the range. Then, as the number of antennas grows larger, the proposed approach evolves into DFT-based precoders and receivers that are even more easily computable. |
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