Access Point Deployment for Localizing accuracy and User Rate in Cell-Free Systems

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 maxmin 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.

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Publication Details

Published
2024-12-04
DOI
https://doi.org/10.1145/3636534.3698221
Primary Topic
Advanced Wireless Communication Technologies
Type
article
Field-Weighted Citation Impact
0.00

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article

Access Point Deployment for Localizing accuracy and User Rate in Cell-Free Systems

Fanfei Xu, Shengheng Liu, Yongming Huang, Zihuan Mao et al.
Advanced Wireless Communication Technologies
article

Access Point Deployment for Localizing accuracy and User Rate in Cell-Free Systems

Fanfei Xu, Shengheng Liu, Yongming Huang, Zihuan Mao, Dazhuan Xu, Dongming Wang, Shan Shi
article en

Abstract

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 maxmin 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.

Purple Mountain Laboratories (CN), Southeast University (CN)
Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 80%
Advanced Wireless Communication Technologies
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Access Point Deployment for Localizing accuracy and User Rate in Cell-Free Systems — Fanfei Xu, Shengheng Liu, et al. · (2024) | TGRS Research Map | TGRS