Antenna Position and Beamforming Optimization for Movable Antenna Enabled ISAC: Optimal Solutions and Efficient Algorithms Article Swipe
L Chen
,
Minjian Zhao
,
Min-Jian Zhao
,
Rui Zhang
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2502.14198
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2502.14198
In this paper, we propose an integrated sensing and communication (ISAC) system enabled by movable antennas (MAs), which can dynamically adjust antenna positions to enhance both sensing and communication performance for future wireless networks. To characterize the benefits of MA-enabled ISAC systems, we first derive the Cramér-Rao bound (CRB) for angle estimation error, which is then minimized for optimizing the antenna position vector (APV) and beamforming design, subject to a pre-defined signal-to-noise ratio (SNR) constraint to ensure the communication performance. In particular, for the case with receive MAs only, we provide a closed-form optimal antenna position solution, and show that employing MAs over conventional fixed-position antennas (FPAs) can achieve a sensing performance gain upper-bounded by 4.77 dB. On the other hand, for the case with transmit MAs only, we develop a boundary traversal breadth-first search (BT-BFS) algorithm to obtain the global optimal solution in the line-of-sight (LoS) channel scenario, along with a lower-complexity boundary traversal depth-first search (BT-DFS) algorithm to find a local optimal solution efficiently. While in the scenario with non-LoS (NLoS) channels, a majorization-minimization (MM) based Rosen's gradient projection (RGP) algorithm with an efficient initialization method is proposed to obtain stationary solutions for the considered problem, which can be extended to the general case with both transmit and receive MAs. Extensive numerical results are presented to verify the effectiveness of the proposed algorithms, and demonstrate the superiority of the considered MA-enabled ISAC system over conventional ISAC systems with FPAs in terms of sensing and communication performance trade-off.
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- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2502.14198
- https://arxiv.org/pdf/2502.14198
- OA Status
- green
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4407806428
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4407806428Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48550/arxiv.2502.14198Digital Object Identifier
- Title
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Antenna Position and Beamforming Optimization for Movable Antenna Enabled ISAC: Optimal Solutions and Efficient AlgorithmsWork title
- Type
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
-
2025-02-20Full publication date if available
- Authors
-
L Chen, Minjian Zhao, Min-Jian Zhao, Rui ZhangList of authors in order
- Landing page
-
https://arxiv.org/abs/2502.14198Publisher landing page
- PDF URL
-
https://arxiv.org/pdf/2502.14198Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
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https://arxiv.org/pdf/2502.14198Direct OA link when available
- Concepts
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Position (finance), Beamforming, Antenna (radio), Computer science, Algorithm, Electronic engineering, Telecommunications, Engineering, Business, FinanceTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.fixed-position | 104 |
| abstract_inverted_index.initialization | 186 |
| abstract_inverted_index.signal-to-noise | 71 |
| abstract_inverted_index.lower-complexity | 152 |
| abstract_inverted_index.majorization-minimization | 175 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 4 |
| citation_normalized_percentile |