Fundamental Models and Signal Processing for Movable Antenna-Enhanced Wireless Communications and Sensing
Fuente:
arXiv
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866914142402641920 |
|---|---|
| author | Xiao, Zhenyu Pi, Xiangyu Cao, Songqi Zhu, Lipeng Gao, Zhen Xia, Xiang-Gen Zhang, Rui |
| author_facet | Xiao, Zhenyu Pi, Xiangyu Cao, Songqi Zhu, Lipeng Gao, Zhen Xia, Xiang-Gen Zhang, Rui |
| contents | Movable antenna (MA) has been recognized as a promising technology for performance enhancement in wireless communication and sensing systems by exploiting the spatial degrees of freedom (DoFs) in flexible antenna movement. However, the integration of MAs into next-generation wireless networks still faces design challenges due to the paradigm shift from conventional fixed-position antennas (FPAs) to MAs, which motivates this paper to provide a comprehensive overview of the models, scenarios, and signal processing techniques for MA-enhanced wireless networks. First, we introduce several efficient methods to realize flexible antenna movement. Next, channel models based on field response and spatial correlation are presented to characterize the channel variations with respect to MA movement. Then, we discuss the advantages and challenges of applying MAs to typical application scenarios of wireless communications and sensing. Moreover, we show the signal processing techniques for MA-enhanced communication and sensing systems, including channel acquisition and antenna position optimization. Finally, we highlight promising research directions to inspire future investigations. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2511_05048 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Fundamental Models and Signal Processing for Movable Antenna-Enhanced Wireless Communications and Sensing Xiao, Zhenyu Pi, Xiangyu Cao, Songqi Zhu, Lipeng Gao, Zhen Xia, Xiang-Gen Zhang, Rui Signal Processing Movable antenna (MA) has been recognized as a promising technology for performance enhancement in wireless communication and sensing systems by exploiting the spatial degrees of freedom (DoFs) in flexible antenna movement. However, the integration of MAs into next-generation wireless networks still faces design challenges due to the paradigm shift from conventional fixed-position antennas (FPAs) to MAs, which motivates this paper to provide a comprehensive overview of the models, scenarios, and signal processing techniques for MA-enhanced wireless networks. First, we introduce several efficient methods to realize flexible antenna movement. Next, channel models based on field response and spatial correlation are presented to characterize the channel variations with respect to MA movement. Then, we discuss the advantages and challenges of applying MAs to typical application scenarios of wireless communications and sensing. Moreover, we show the signal processing techniques for MA-enhanced communication and sensing systems, including channel acquisition and antenna position optimization. Finally, we highlight promising research directions to inspire future investigations. |
| title | Fundamental Models and Signal Processing for Movable Antenna-Enhanced Wireless Communications and Sensing |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2511.05048 |