Low-complexity MIMO precoding for finite-alphabet signals

This paper investigates the design of precoders for single-user multiple-input multiple-output (MIMO) channels, and, in particular, for finite-alphabet signals. Based on an asymptotic expression for the mutual information of channels exhibiting line-of-sight components and rather general antenna cor...

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Detalhes bibliográficos
Autores: Wu, Yongpeng, Wing Kwan Ng, Derrick, Wen, Chao-Kai, Schober, Robert, Lozano Solsona, Angel
Tipo de documento: artigo
Estado:Versión aceptada para publicación
Data de publicação:2017
País:España
Recursos:Universitat Pompeu Fabra
Repositório:Repositorio Digital de la UPF
OAI Identifier:oai:repositori.upf.edu:10230/37061
Acesso em linha:http://hdl.handle.net/10230/37061
http://dx.doi.org/10.1109/TWC.2017.2700308
Access Level:Acceso aberto
Palavra-chave:Finite alphabet inputs
Linear precoding
Multiple-input multiple-output
Replica method
MIMO
Descrição
Resumo:This paper investigates the design of precoders for single-user multiple-input multiple-output (MIMO) channels, and, in particular, for finite-alphabet signals. Based on an asymptotic expression for the mutual information of channels exhibiting line-of-sight components and rather general antenna correlations, precoding structures that decompose the general channel into a set of parallel subchannel pairs are proposed. Then, a low-complexity iterative algorithm is devised to maximize the sum mutual information of all pairs. The proposed algorithm significantly reduces the computational load of existing approaches with only minimal loss in performance. The complexity savings increase with the number of transmit antennas and with the cardinality of the signal alphabet, making it possible to support values thereof that were unmanageable with existing solutions. Most importantly, the proposed solution does not require instantaneous channel state information (CSI) at the transmitter, but only statistical CSI.