12 papers
Deep Learning-Empowered Movable-Antenna Position Optimization with Partial CSI
Lele Lu, Weidong Mei, Xin Wei +5
Movable antennas (MAs) are a promising technology to improve wireless data rates by dynamically adjusting their positions to avoid deep fading. However, finding the optimal MA posi…
Unlocking the Potential of Movable Antennas: General and Practical Antenna Position Optimization
Weidong Mei, Changhao Liu, Dong Wang +6
Recently, movable antenna (MA) has attracted wide attention in wireless communications due to its potential in enhancing wireless communication performance via local movement withi…
Energy-Efficient Movable Antennas: Mechanical Power Modeling and Performance Optimization
Xin Wei, Weidong Mei, Xuan Huang +2
Movable antennas (MAs) offer additional spatial degrees of freedom (DoFs) to enhance communication performance through local antenna movement. However, to achieve accurate and fast…
Movable Antenna-Enhanced Near-Field Flexible Beamforming: Performance Analysis and Optimization
Shun Yang, Xin Wei, Nianbing Su +3
As an emerging wireless communication technology, movable antennas (MAs) offer the ability to adjust the spatial correlation of steering vectors, enabling more flexible beamforming…
Movable Antenna Empowered Near-Field Sensing via Antenna Position Optimization
Yushen Wang, Weidong Mei, Xin Wei +3
Movable antenna (MA) technology exhibits great promise for enhancing the sensing capabilities of future sixth-generation (6G) networks due to its capability to alter antenna array…
Performance Optimization for Movable Antenna Enhanced MISO-OFDM Systems
Ruixi Feng, Weidong Mei, Lele Lu +4
Movable antenna (MA) technology offers a flexible approach to enhancing wireless channel conditions by adjusting antenna positions within a designated region. While most existing w…