Movable-antenna trajectories are optimized to maximize the minimum user rate, yielding finite optimal deployment patterns with time allocations in the infinite-speed case and a heuristic for limited speed.
Compressed sensing based ch annel estimation for movable antenna communications
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
fields
cs.IT 3years
2026 3verdicts
UNVERDICTED 3representative citing papers
Movable antenna position optimization via DRL in OTFS systems under imperfect CSI, enabled by SBLVI channel estimation, yields higher channel gains than fixed-position antennas in simulations.
Movable antenna systems exhibit a fundamental tradeoff between movement duration for improved channels and transmission time, optimized via 1D search or a fitting method that yields a closed-form speed threshold below which stationary antennas are optimal.
citing papers explorer
-
Trajectory Design for Fairness Enhancement in Movable Antennas-Aided Communications
Movable-antenna trajectories are optimized to maximize the minimum user rate, yielding finite optimal deployment patterns with time allocations in the infinite-speed case and a heuristic for limited speed.
-
DRL-Based Antenna Position Optimization For MA-Assisted OTFS System Under Imperfect CSI
Movable antenna position optimization via DRL in OTFS systems under imperfect CSI, enabled by SBLVI channel estimation, yields higher channel gains than fixed-position antennas in simulations.
-
Fundamental Tradeoff in Movable Antenna Systems: How Long to Move Before Transmission?
Movable antenna systems exhibit a fundamental tradeoff between movement duration for improved channels and transmission time, optimized via 1D search or a fitting method that yields a closed-form speed threshold below which stationary antennas are optimal.