Access Point Deployment for Localizing Accuracy and User Rate in Cell-Free Systems
This work addresses deployment optimization for cell-free networks, offering incremental improvements in balancing communication and sensing for next-generation mobile systems.
The paper tackles the problem of access point deployment in cell-free systems to balance sensing accuracy and user rate, proposing a novel integrated metric and using Soft Actor-Critic to solve it, achieving 20% overall performance and 120% lowest performance improvements.
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.