A BCD framework using WMMSE, Riemannian conjugate gradient, and successive convex approximation jointly optimizes dual-aerial RIS phases, precoders, and trajectories in ITNTNs, delivering about 7% higher sum-rate than random RIS in simulations.
Joint trajectory and beamforming optimization for UA V- RIS-empowered multiuser communication networks: A double deep Q-network approach
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Joint Trajectory and Resource Optimization for Aerial RIS-assisted Integrated TNT Networks
A BCD framework using WMMSE, Riemannian conjugate gradient, and successive convex approximation jointly optimizes dual-aerial RIS phases, precoders, and trajectories in ITNTNs, delivering about 7% higher sum-rate than random RIS in simulations.