Optimizing Reconfigurable Antenna MIMO Systems with Coherent Ising Machines
<|reference_start|>Optimizing Reconfigurable Antenna MIMO Systems with Coherent Ising Machines: 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.<|reference_end|>
@article{krikidis2024optimizing,
    title={Optimizing Reconfigurable Antenna MIMO Systems with Coherent Ising
  Machines},
    author={Ioannis Krikidis, Abhishek Kumar Singh, and Kyle Jamieson},
    journal={IEEE International Conference on Communications (ICC), June 2024},
    year={2024},
    archivePrefix={arXiv},
    eprint={2403.12571},
    primaryClass={cs.IT eess.SP math.IT}
}