  Multiple-input multiple-output (MIMO) systems will play a crucial role in
future wireless communication, but improving their signal detection performance
to increase transmission efficiency remains a challenge. To address this issue,
we propose extending the discrete signal detection problem in MIMO systems to a
continuous one and applying the Hamiltonian Monte Carlo method, an efficient
Markov chain Monte Carlo algorithm. In our previous studies, we have used a
mixture of normal distributions for the prior distribution. In this study, we
propose using a mixture of t-distributions, which further improves detection
performance. Based on our theoretical analysis and computer simulations, the
proposed method can achieve near-optimal signal detection with polynomial
computational complexity. This high-performance and practical MIMO signal
detection could contribute to the development of the 6th-generation mobile
network.
