Dataset associated with the conference paper "Genetic Algorithm-Based Optimization of AP Activation for Static Coverage in Cell-Free"

DescriptionThis repository contains a dataset designed to support the evaluation of access point (AP) selection strategies in cell-free massive MIMO systems. The dataset is organized into two main folders:coordinates/This folder contains the Cartesian positions of both APs and UEs:posAPs.mat: Positions of the deployed APs.gridUEs.mat: Positions of candidate UEs. Only the UEs indicated in the variable idxValidUEs should be considered as valid positions.channels/This folder contains the estimated channel realizations between AP antennas and UE antennas. A separate .txt file is provided for each UE:File format: Receiver_X.txt, where X denotes the UE identifier.Each row represents a link between one AP antenna and the corresponding UE antenna.Columns include: AP identifier, AP antenna identifier, UE identifier, UE antenna identifier, real part of the estimated channel. and imaginary part of the estimated channel.This dataset enables reproducibility of simulations by providing the geometric deployment and channel estimates that serve as the basis for pathloss, RSRP calculation, and subsequent AP selection optimization.Please refer to the conference paper below for more detailed information about the simulations.The simulation code is available here on GitHub.ReferencingIf you in any way use this dataset for research that results in publications, please cite our original article listed below:Guillermo García-Barrios, Martina Barbi and Manuel Fuentes, "Genetic Algorithm-Based Optimization of AP Activation for Static Coverage in Cell-Free," IEEE International Conference on Communications (ICC), Glasgow, Scotland, UK, 2025. [Submitted]AcknowledgmentsThis work is supported by the Spanish ministry of economic affairs and digital transformation and the European Union - NextGenerationEU [UNICO I+D 6G/INSIGNIA] (TSI-064200-2022-006).