Access Point Deployment for Localizing Accuracy and User Rate in Cell-Free Systems
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arXiv
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| Main Authors: | , , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866929621569634304 |
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| author | Xu, Fanfei Liu, Shengheng Mao, Zihuan Shi, Shangqing Xu, Dazhuan Wang, Dongming Huang, Yongming |
| author_facet | Xu, Fanfei Liu, Shengheng Mao, Zihuan Shi, Shangqing Xu, Dazhuan Wang, Dongming Huang, Yongming |
| contents | Evolving next-generation mobile networks is designed to provide ubiquitous coverage and networked sensing. With utility of multi-view sensing and multi-node joint transmission, cell-free is a promising technique to realize this prospect. This paper aims to tackle the problem of access point (AP) deployment in cell-free systems to balance the sensing accuracy and user rate. By merging the D-optimality with Euclidean criterion, a novel integrated metric is proposed to be the objective function for both max-sum and max-min problems, which respectively guarantee the overall and lowest performance in multi-user communication and target tracking scenario. To solve the corresponding high dimensional non-convex multi-objective problem, the Soft actor-critic (SAC) is utilized to avoid risk of local optimal result. Numerical results demonstrate that proposed SAC-based APs deployment method achieves $20\%$ of overall performance and $120\%$ of lowest performance. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2412_07094 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Access Point Deployment for Localizing Accuracy and User Rate in Cell-Free Systems Xu, Fanfei Liu, Shengheng Mao, Zihuan Shi, Shangqing Xu, Dazhuan Wang, Dongming Huang, Yongming Networking and Internet Architecture Artificial Intelligence Evolving next-generation mobile networks is designed to provide ubiquitous coverage and networked sensing. With utility of multi-view sensing and multi-node joint transmission, cell-free is a promising technique to realize this prospect. This paper aims to tackle the problem of access point (AP) deployment in cell-free systems to balance the sensing accuracy and user rate. By merging the D-optimality with Euclidean criterion, a novel integrated metric is proposed to be the objective function for both max-sum and max-min problems, which respectively guarantee the overall and lowest performance in multi-user communication and target tracking scenario. To solve the corresponding high dimensional non-convex multi-objective problem, the Soft actor-critic (SAC) is utilized to avoid risk of local optimal result. Numerical results demonstrate that proposed SAC-based APs deployment method achieves $20\%$ of overall performance and $120\%$ of lowest performance. |
| title | Access Point Deployment for Localizing Accuracy and User Rate in Cell-Free Systems |
| topic | Networking and Internet Architecture Artificial Intelligence |
| url | https://arxiv.org/abs/2412.07094 |