Low Computational Complexity of SC Polar Decoder in MIMO Fading Channel

Motivated by large capacity gains in multiple an-tenna systems when ideal channel state information (CSI) is available at both receiver and transmitter and quadrature am-plitude modulation (QAM) is applied, we examine the achievable rates of Rayleigh fading channel measurement based optimization techniques. We consider complex-valued noise Gaussian distri-bution and try to determine the optimal input distribution of fixed signalling points. By using Hermite polynomials and under even-moment constraint, the simulation results show that the information rate is achieved with unique and optimal input distribution. It is also shown that the computational complexity can be reduced by factorizing the optimal distribution into the product of symmetrical distributions.

@article{Hasan2018,
  title     = {Low Computational Complexity of SC Polar Decoder in MIMO Fading Channel},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {9},
  number    = {1},
  year      = {2018},
  publisher = {The Science and Information Organization},
  author    = {Alaa Abdulameer Hasan},
  doi       = {10.14569/SpecialIssue.2018.0901132},
  url       = {https://doi.org/10.14569/SpecialIssue.2018.0901132}
}