On quasi-optimum iterative DF detection for large-scale MU-MIMO systems

Torres, Paulo; Gusmão, António

http://hdl.handle.net/10400.11/5811

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Autores

Torres, Paulo

Gusmão, António

Resumo(s)

In a "Massive MIMO" context, we evaluate low-complexity iterative DF detection techniques involving interference cancellation at the output of an MF multiuser detector. These techniques can offer some performance advantage over the somewhat more complex (due to matrix inversion requirements) linear, ideal MMSE detection. Moreover, we can achieve close approximations to appropriate performance bounds - which are able to take into account channel estimation imperfections -, even for NR/NT <10, when NR/NT is also high enough to ensure iterative DF convergence.

Palavras-chave

Massive MIMO SC/FDE Iterative decision-feedback detection Low complexity Imperfect channel estimation Performance bounds

URI

http://hdl.handle.net/10400.11/5811

Citação

TORRES, Paulo; GUSMÃO, António (2017) - On quasi-optimum iterative DF detection for large-scale MU-MIMO systems. Transactions on Emerging Telecommunications Technologies. ISSN: 2161-3915. DOI: https://doi.org/10.1002/ett.3260

Editora

Wiley

DOI

10.1002/ett.3260

Coleções

ESTCB - Artigos em revistas com arbitragem científica

Licença CC

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