A two-tier HAPS system enables wireless energy harvesting between aerial platforms, with IDFA and Q-learning optimization delivering higher data rates than conventional non-EH setups.
Link budget analysis for reconfigurable smart surfaces in aerial platforms
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
eess.SP 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
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.
citing papers explorer
-
Two-Tier High Altitude Platform Stations (HAPS) for Exploring Wireless Energy Harvesting
A two-tier HAPS system enables wireless energy harvesting between aerial platforms, with IDFA and Q-learning optimization delivering higher data rates than conventional non-EH setups.
-
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.