Joint Beamforming and Antenna Position Optimization for Movable Antenna-Assisted Spectrum Sharing
Xin Wei, Weidong Mei, Dong Wang, Boyu Ning, Zhi Chen

TL;DR
This paper proposes a joint optimization of beamforming and antenna positions for movable antennas in cognitive radio, enhancing spectrum sharing efficiency by maximizing secondary signal power while mitigating interference.
Contribution
It introduces a novel joint optimization framework for beamforming and antenna positioning in movable antenna systems for spectrum sharing, including an AO algorithm for suboptimal solutions.
Findings
Significant performance gains over fixed-position antennas.
Effective interference mitigation for primary receivers.
Validation of theoretical analysis through numerical results.
Abstract
Fluid antennas (FAs) and movable antennas (MAs) have drawn increasing attention in wireless communications recently due to their ability to create favorable channel conditions via local antenna movement within a confined region. In this letter, we advance their application for cognitive radio to facilitate efficient spectrum sharing between primary and secondary communication systems. In particular, we aim to jointly optimize the transmit beamforming and MA positions at a secondary transmitter (ST) to maximize the received signal power at a secondary receiver (SR) subject to the constraints on its imposed co-channel interference power with multiple primary receivers (PRs). However, such an optimization problem is difficult to be optimally solved due to the highly nonlinear functions of the received signal/interference power at the SR/all PRs in terms of the MA positions. To drive useful…
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Taxonomy
MethodsSoftmax · Attention Is All You Need
