2024 IEEE International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON)

Новосибирск : IEEE, 2024.

In this paper, a novel Tensor-based MIMO precoder algorithm that significantly reduces computational complexity compared to the classical SVD precoder is proposing. This approach is based on the well-known tensor decomposition (Tucker decomposition), which allows to represent and process of multidimensional data arrays efficiently. The approach significantly reduces the dimensionality of the problem leading to a substantial decrease in computational costs. Numerical experiments demonstrate that the proposed Tensor-based MIMO precoder provides comparable performance to the SVD precoder while significantly reducing computational complexity.

Главы книги

On the Concatenation of Superposition and Polar Codes

Кувшинов А. В., Тимохин И. С., Иванов Ф. И., , in: 2024 IEEE International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON).: Novosibirsk: IEEE, 2024. P. 52–57.

Добавлено: 16 ноября 2024 г.

Burst Detection and Correction for Gilbert Codes and its QC-LDPC Extensions

Вересова А. М., Овчинников А. А., , in: 2024 IEEE International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON).: Novosibirsk: IEEE, 2024. P. 47–51.

Добавлено: 27 ноября 2024 г.

Deep Reinforcement Learning-Based Congestion Control for File Transfer over QUIC

Blokhin A., Kalev V., Пусев Р. С. и др., , in: 2024 IEEE International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON).: Novosibirsk: IEEE, 2024. P. 25–30.

Добавлено: 18 декабря 2024 г.

New code-based paradigm

Кабатянский Г. А., Evgenii A. Krouk, , in: 2024 IEEE International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON).: Novosibirsk: IEEE, 2024. P. 85–88.

Добавлено: 12 декабря 2024 г.

Ключевые слова: information science, electronics engineering, international conferences, SIBIRCON