A two-timescale movable-antenna design that adapts receive positions to instantaneous channel state information and transmit design to statistical channel state information improves average sum rate and feasibility.
Antenna Positioning and Beamforming Design for Fluid-Antenna Enabled Multi-user Downlink Communications
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abstract
This paper investigates a multiple input single output (MISO) downlink communication system in which users are equipped with fluid antennas (FAs). First, we adopt a field-response based channel model to characterize the downlink channel with respect to FAs' positions. Then, we aim to minimize the total transmit power by jointly optimizing the FAs' positions and beamforming matrix. To solve the resulting non-convex problem, we employ an alternating optimization (AO) algorithm based on penalty method and successive convex approximation (SCA) to obtain a sub-optimal solution. Numerical results demonstrate that the FA-assisted communication system performs better than conventional fixed position antennas system.
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cs.IT 1years
2025 1verdicts
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Two-Timescale Sum-Rate Maximization for Movable Antenna Enhanced Systems
A two-timescale movable-antenna design that adapts receive positions to instantaneous channel state information and transmit design to statistical channel state information improves average sum rate and feasibility.