@ARTICLE{Chakraborty_Sourav_Improved_2023,
 author={Chakraborty, Sourav and Sinha, Nirmalendu Bikas and Mitra, Monojit},
 volume={vol. 69},
 number={No 1},
 journal={International Journal of Electronics and Telecommunications},
 pages={139-146},
 howpublished={online},
 year={2023},
 publisher={Polish Academy of Sciences Committee of Electronics and Telecommunications},
 abstract={In a massive multiple-input multiple-output (MIMO) system, a large number of receiving antennas at the base station can simultaneously serve multiple users. Linear detectors can achieve optimal performance but require large dimensional matrix inversion, which requires a large number of arithmetic operations. Several low complexity solutions are reported in the literature. In this work, we have presented an improved two-dimensional double successive projection (I2D-DSP) algorithm for massive MIMO detection. Simulation results show that the proposed detector performs better than the conventional 2D-DSP algorithm at a lower complexity. The performance under channel correlation also improves with the I2D-DSP scheme. We further developed a soft information generation algorithm to reduce the number of magnitude comparisons. The proposed soft symbol generation method uses real domain operation and can reduce almost 90% flops and magnitude comparisons.},
 type={Article},
 title={Improved Two-Dimensional Double Successive Projection Algorithm for Massive MIMO Detection},
 URL={http://ochroma.man.poznan.pl/Content/126551/PDF-MASTER/20.pdf},
 doi={10.24425/ijet.2023.144343},
 keywords={massive MIMO, MMSE, ZF, 2D-DSP, QAM, LLR, I2D-DSP},
}