An iterative robust optimization framework jointly optimizes precoding, RIS reflection, common-rate allocation, and movable antenna positions to maximize sum-rate in multi-user RSMA systems under bounded CSI uncertainty.
Vision, requirements, and technology trend of 6G: How to tackle the challenges of system coverage, capacity, user data-rate and movement speed,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.SP 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Channel Uncertainty-Aware Robust Beamforming for RIS-Assisted RSMA Communication With Movable Antennas
An iterative robust optimization framework jointly optimizes precoding, RIS reflection, common-rate allocation, and movable antenna positions to maximize sum-rate in multi-user RSMA systems under bounded CSI uncertainty.