Energy Reduction in Cell-Free Massive MIMO through Fine-Grained Resource Management
<|reference_start|>Energy Reduction in Cell-Free Massive MIMO through Fine-Grained Resource Management: The physical layer foundations of cell-free massive MIMO (CF-mMIMO) have been well-established. As a next step, researchers are investigating practical and energy-efficient network implementations. This paper focuses on multiple sets of access points (APs) where user equipments (UEs) are served in each set, termed a federation, without inter-federation interference. The combination of federations and CF-mMIMO shows promise for highly-loaded scenarios. Our aim is to minimize the total energy consumption while adhering to UE downlink data rate constraints. The energy expenditure of the full system is modelled using a detailed hardware model of the APs. We jointly design the AP-UE association variables, determine active APs, and assign APs and UEs to federations. To solve this highly combinatorial problem, we develop a novel alternating optimization algorithm. Simulation results for an indoor factory demonstrate the advantages of considering multiple federations, particularly when facing large data rate requirements. Furthermore, we show that adopting a more distributed CF-mMIMO architecture is necessary to meet the data rate requirements. Conversely, if feasible, using a less distributed system with more antennas at each AP is more advantageous from an energy savings perspective.<|reference_end|>
@article{demir2024energy,
    title={Energy Reduction in Cell-Free Massive MIMO through Fine-Grained Resource
  Management},
    author={"Ozlem Tuu{g}fe Demir and Lianet M'endez-Monsanto and Nicola
  Bastianello and Emma Fitzgerald and Gilles Callebaut},
    journal={arXiv preprint arXiv:2405.07013},
    year={2024},
    archivePrefix={arXiv},
    eprint={2405.07013},
    primaryClass={eess.SP cs.IT math.IT}
}