3 papers
cs.IT2026
Hamiltonian Monte Carlo for Vector Perturbation Precoding in MU-MIMO via Continuous Relaxation
Junichiro Hagiwara, Toshihiko Nishimura, Yasutaka Ogawa +1
Multi-user multiple-input multiple-output (MU-MIMO) is a key technology that improves wireless capacity through multiple antennas. In MU-MIMO downlink precoding, vector perturbatio…
cs.NI2024
Hamiltonian Monte Carlo-Based Near-Optimal MIMO Signal Detection
Junichiro Hagiwara, Toshihiko Nishimura, Takanori Sato +2
Multiple-input multiple-output (MIMO) technology is essential for the optimal functioning of next-generation wireless networks; however, enhancing its signal-detection performance…
cs.NI2023
Near-optimal stochastic MIMO signal detection with a mixture of t-distribution prior
Junichiro Hagiwara, Kazushi Matsumura, Hiroki Asumi +5
Multiple-input multiple-output (MIMO) systems will play a crucial role in future wireless communication, but improving their signal detection performance to increase transmission e…