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.
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Joint optimization of beamforming, active RIS phases and gains, and 3D trajectories of UAV and HAP in a dual-aerial ARIS NOMA ITNTN yields approximately 8.44% higher average sum-rate than passive RIS benchmarks.
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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.
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Joint Trajectory and Resource Optimization for Dual-aerial ARIS-assisted NOMA-TNT Networks
Joint optimization of beamforming, active RIS phases and gains, and 3D trajectories of UAV and HAP in a dual-aerial ARIS NOMA ITNTN yields approximately 8.44% higher average sum-rate than passive RIS benchmarks.