Abstract
Next generation Multiple Input Multiple Output (MIMO) communication systems should meet strict performance requirements and keep reasonable complexity. This paper presents a new low-complexity approach for iterative MIMO detection which is based on enhanced Turbo procedure. In the algorithm such components as linear Minimum Mean Square Error (MMSE) detection and soft symbol estimation based on the MMSE solution are utilized. A new original procedure of getting extrinsic data essentially improves the receiver performance and reduces its complexity. The results of the study are validated by link-level simulations.
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The publication was financially supported by the Ministry of Education and Science of the Russian Federation (the Agreement number 02.a03.21.0008).
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Bakulin, M., Kreyndelin, V., Rog, A., Petrov, D., Melnik, S. (2017). Low-Complexity Iterative MIMO Detection Based on Turbo-MMSE Algorithm. In: Galinina, O., Andreev, S., Balandin, S., Koucheryavy, Y. (eds) Internet of Things, Smart Spaces, and Next Generation Networks and Systems. ruSMART NsCC NEW2AN 2017 2017 2017. Lecture Notes in Computer Science(), vol 10531. Springer, Cham. https://doi.org/10.1007/978-3-319-67380-6_51
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DOI: https://doi.org/10.1007/978-3-319-67380-6_51
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