@inproceedings{700fa8c000d040988e98aca3f6d6aa81,
title = "Optimizing Reconfigurable Antenna MIMO Systems with Coherent Ising Machines",
abstract = "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 uncon strained 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.",
keywords = "Coherent Ising Machines, fluid-antenna systems, MIMO systems, quantum computing, reconfigurable antennas",
author = "Ioannis Krikidis and Singh, {Abhishek Kumar} and Kyle Jamieson",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 2024 Annual IEEE International Conference on Communications Workshops, ICC Workshops 2024 ; Conference date: 09-06-2024 Through 13-06-2024",
year = "2024",
doi = "10.1109/ICCWorkshops59551.2024.10615498",
language = "English (US)",
series = "2024 IEEE International Conference on Communications Workshops, ICC Workshops 2024",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1134--1139",
editor = "Matthew Valenti and David Reed and Melissa Torres",
booktitle = "2024 IEEE International Conference on Communications Workshops, ICC Workshops 2024",
address = "United States",
}