On the solution to a class of multi-functional beamforming problems
Many emerging wireless applications require the simultaneous execution of multiple functions, such as information transmission and reception, or communication and sensing. This has driven the study of different means to optimize performance tradeoffs. Among these, the design of multi-functional beam...
| Autores: | , , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2025 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/449256 |
| Acceso en línea: | https://hdl.handle.net/2117/449256 https://dx.doi.org/10.1109/LWC.2025.3611843 |
| Access Level: | acceso abierto |
| Palabra clave: | Emerging wireless applications Multi-functional systems Performance optimization Beamformer design Nonconvex QCQPs Semidefinite relaxation Strong duality Optimal solution extraction Communication and sensing integration Àrees temàtiques de la UPC::Enginyeria de la telecomunicació |
| Sumario: | Many emerging wireless applications require the simultaneous execution of multiple functions, such as information transmission and reception, or communication and sensing. This has driven the study of different means to optimize performance tradeoffs. Among these, the design of multi-functional beamformers often involves nonconvex quadratically constrained quadratic programs (QCQPs), which are commonly approached via semidefinite relaxation (SDR). Two well-known issues affecting the SDR approach are its tightness and the ability to extract a QCQP-feasible solution from the SDR solution. In this context, we identify a sufficient condition for strong duality of a class of nonconvex QCQPs, in which case the exact optimal solution can be readily obtained. The applicability of the proposed framework to the design of multi-functional beamformers is illustrated. |
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