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Low‐complexity soft‐output MIMO uplink detection for large systems iterative detection and decoding
Author(s) -
Pereira Alexandre A.,
SampaioNeto Raimundo
Publication year - 2018
Publication title -
transactions on emerging telecommunications technologies
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.366
H-Index - 47
ISSN - 2161-3915
DOI - 10.1002/ett.3251
Subject(s) - detector , decoding methods , mimo , algorithm , computer science , telecommunications link , single antenna interference cancellation , computational complexity theory , turbo , maximum a posteriori estimation , bit error rate , iterative method , fading , minimum mean square error , channel (broadcasting) , multiuser detection , transmission (telecommunications) , mathematics , telecommunications , maximum likelihood , statistics , engineering , estimator , automotive engineering
Iterative detection and decoding techniques, based on the turbo principle, have been proposed in the literature to achieve near‐capacity on both single‐ and multiple‐antenna fading communication systems. In the multiple‐input–multiple‐output case, when a very large system is considered, one major issue is the overall system complexity. Here, we propose an iterative detection and decoding scheme for the uplink of coded multiple‐input–multiple‐output systems that replaces the exponential complexity maximum a posteriori detector by an approximate maximum a posteriori low‐complexity detector that uses a simple hard‐output inner detector at the first iteration followed by parallel interference cancelation and filtering matched to the channel coefficient matrix that is estimated with the aid of orthogonal pilot transmission. From the second iteration onward, the inner hard‐output detector is replaced by the results from the previous iteration. Simulation results demonstrate that the proposed strategy presents good bit‐error‐rate performance with low computational complexity, measured by the average number of floating‐point operations per message bit.