Likelihood Ascent Search Detection for Coded Massive MU-MIMO Systems to Mitigate IAI and MUI
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Publisher
Allerton Press
Subject
Electrical and Electronic Engineering
Link
https://link.springer.com/content/pdf/10.3103/S0735272720050015.pdf
Reference35 articles.
1. A. Chockalingam and B. Sundar Rajan, Large MIMO Systems, Vol. 9781107026 (Cambridge University Press, 2011). DOI: https://doi.org/10.1017/CBO9781139208437 .
2. E. G. Larsson, O. Edfors, F. Tufvesson, and T. L. Marzetta, “Massive MIMO for next generation wireless systems,” IEEE Commun. Mag. 52, No. 2, 186 (2014). DOI: https://doi.org/10.1109/MCOM.2014.6736761 .
3. L. Lu, G. Y. Li, A. L. Swindlehurst, A. Ashikhmin, and R. Zhang, “An overview of massive MIMO: Benefits and challenges,” IEEE J. Sel. Top. Signal Process. 8, No. 5, 742 (2014). DOI: https://doi.org/10.1109/JSTSP.2014.2317671 .
4. E. Biglieri, R. Calderbank, A. Constantinides, A. Goldsmith, A. Paulraj, and H. V. Poor, MIMO Wireless Communications, Vol. 9780521873 (Cambridge University Press, 2007). DOI: https://doi.org/10.1017/CBO9780511618420 .
5. Y. Liu, J. Liu, Q. Wu, Y. Zhang, and M. Jin, “A near-optimal iterative linear precoding with low complexity for massive MIMO systems,” IEEE Commun. Lett. 23, No. 6, 1105 (2019). DOI: https://doi.org/10.1109/LCOMM.2019.2911472 .
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