Reconfigurable antenna multiple-input multiple-output (MIMO) is a promising technology for upcoming 6G communication systems. In this paper, we deal with the problem of configuration selection for reconfigurable antenna MIMO by leveraging Coherent Ising Machines (CIMs). By adopting the CIM as a heuristic solver for the Ising problem, the optimal antenna configuration that maximizes the received signal-to-noise ratio is investigated. A mathematical framework that converts the selection problem into a CIM-compatible unconstrained quadratic formulation is presented. Numerical studies show that the proposed CIM-based design outperforms classical counterparts and achieves near-optimal performance (similar to exponentially complex exhaustive searching) while ensuring polynomial complexity.

翻译：可重构天线多输入多输出（MIMO）技术是即将到来的第六代（6G）通信系统中的一项前景广阔的技术。本文利用相干伊辛机（CIM）处理可重构天线MIMO的配置选择问题。通过采用CIM作为伊辛问题的启发式求解器，研究了最大化接收信噪比的最优天线配置。本文提出了一种数学框架，将配置选择问题转化为与CIM兼容的无约束二次型公式。数值研究表明，基于CIM的设计方案优于经典方法，能够在保持多项式复杂度的同时实现接近最优的性能（类似于指数复杂度的穷举搜索）。