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.

翻译：多输入多输出（MIMO）系统将在未来无线通信中发挥关键作用，但提升其信号检测性能以提高传输效率仍是一项挑战。为解决此问题，我们提出将MIMO系统中的离散信号检测问题扩展为连续问题，并应用高效的马尔可夫链蒙特卡洛算法——哈密顿蒙特卡洛方法。在先前研究中，我们采用正态分布混合作为先验分布。本研究提出使用t分布混合，进一步提升了检测性能。基于理论分析与计算机仿真实验，所提方法能以多项式计算复杂度实现近最优信号检测。这种高性能且实用的MIMO信号检测技术有望为第六代移动网络的发展提供支撑。