Joint Active RIS Configuration and User Power Control for Localization: A Neuroevolution-Based Approach

George Stamatelis, Hui Chen, Henk Wymeersch, George C. Alexandropoulos
9/25/2025
cs.NIcs.LGcs.MA

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Abstract

This paper studies user localization aided by a Reconfigurable Intelligent Surface (RIS). A feedback link from the Base Station (BS) to the user is adopted to enable dynamic power control of the user pilot transmissions in the uplink. A novel multi-agent algorithm for the joint control of the RIS phase configuration and the user transmit power is presented, which is based on a hybrid approach integrating NeuroEvolution (NE) and supervised learning. The proposed scheme requires only single-bit feedback messages for the uplink power control, supports RIS elements with discrete responses, and is numerically shown to outperform fingerprinting, deep reinforcement learning baselines and backpropagation-based position estimators.

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Cite this paper

@article{stamatelis2025joint,
  title  = {Joint Active RIS Configuration and User Power Control for Localization: A Neuroevolution-Based Approach},
  author = {George Stamatelis and Hui Chen and Henk Wymeersch and George C. Alexandropoulos},
  year   = {2025},
  eprint = {2510.13819},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2510.13819v1}
}

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