@inproceedings{41874eb4cf574e5b8c5f26b1e72e57a3,
title = "Deep Learning based MIMO detection in 6G Wireless Communication System",
abstract = "This paper proposes a deep learning algorithm to decode spheres in order to solve the multi-input multi-output (MIMO) receiver's detection problem. The modified K and K1 sphere decoders achieve high performance in terms of spectral efficiency. This in turn will improve the data rate of next generation wireless communication systems. In order to reduce the computational complexity, the number of codewords needs to be reduced, which can be achieved with a deep learning algorithm based on a neural network. Simulation results depict the effectiveness of the proposed schemes in terms of BER, spectral efficiency, and computational time. Simulations were carried out using the MATLAB tool to support the proposed algorithm and validate the analytical results.",
keywords = "Bit error rate, Deep learning, K and K1 Sphere decoder, Spectral efficiency, Sphere decoder",
author = "Priyanka Mishra and {Ul Amin}, Mehboob and Ghanshyam Singh",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 3rd IEEE International Conference on Computational Intelligence and Knowledge Economy, ICCIKE 2023 ; Conference date: 09-03-2023 Through 10-03-2023",
year = "2023",
doi = "10.1109/ICCIKE58312.2023.10131868",
language = "English",
series = "Proceedings of 3rd IEEE International Conference on Computational Intelligence and Knowledge Economy, ICCIKE 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "366--369",
editor = "Anand Kumar and Mishra, {Ved Prakash} and Vishal Naranje and Apurv Yadav",
booktitle = "Proceedings of 3rd IEEE International Conference on Computational Intelligence and Knowledge Economy, ICCIKE 2023",
address = "United States",
}