Deep unfolding-powered analog beamforming for in-band full-duplex
In-band full-duplex (IBFD) can double the spectral efficiency of wireless communications systems. However, its major drawback is the self-interference, which interferes with the desired signal at the terminal. Self-interference cancelation can be operated in antenna, analog, and digital domains. In...
| Autores: | , , , , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2024 |
| País: | España |
| Institución: | Universidad del País Vasco |
| Repositorio: | Addi. Archivo Digital para la Docencia y la Investigación |
| OAI Identifier: | oai:addi.ehu.eus:10810/73909 |
| Acceso en línea: | http://hdl.handle.net/10810/73909 |
| Access Level: | acceso abierto |
| Palabra clave: | analog beamforming deep learning deep unfolding in-band full-duplex PGA POCS zero forcing |
| Sumario: | In-band full-duplex (IBFD) can double the spectral efficiency of wireless communications systems. However, its major drawback is the self-interference, which interferes with the desired signal at the terminal. Self-interference cancelation can be operated in antenna, analog, and digital domains. In the antenna domain, beamformers are designed to minimize the leaked signal entering the system. This paper proposes an efficient analog beamforming design to maximize the channel achievable rate of massive multiple-input multiple-output (MIMO) IBFD systems. Specifically, we propose a low-complexity deep unfolding technique that provides a significantly better achievable rate than the state-of-the-art to deal with the non-convex design objective and constraints. More concretely, a complexity reduction of 75% is achieved for some scenarios, and of 50% is reached for the rest. |
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