We model a reconfigurable intelligent surface as an inhomogeneous boundary of surface impedance, and consider various optimization problems that offer different tradeoffs in terms of performance and implementation complexity. The considered non-convex optimization problems are reformulated as a sequence of approximating linear quadratically constrained or semidefinite programs, which have a polynomial complexity and converge monotonically in the objective value.
Electromagnetically Consistent Optimization Algorithms for the Global Design of RIS
Zappone, A.;
2025-01-01
Abstract
We model a reconfigurable intelligent surface as an inhomogeneous boundary of surface impedance, and consider various optimization problems that offer different tradeoffs in terms of performance and implementation complexity. The considered non-convex optimization problems are reformulated as a sequence of approximating linear quadratically constrained or semidefinite programs, which have a polynomial complexity and converge monotonically in the objective value.File in questo prodotto:
| File | Dimensione | Formato | |
|---|---|---|---|
|
Electromagnetically_Consistent_Optimization_Algorithms_for_the_Global_Design_of_RIS.pdf
solo utenti autorizzati
Licenza:
Copyright dell'editore
Dimensione
1.25 MB
Formato
Adobe PDF
|
1.25 MB | Adobe PDF | Visualizza/Apri Richiedi una copia |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
