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Energy Reduction in Cell-Free Massive MIMO through Fine-Grained Resource Management

Demir, Ozlem Tugfe ; Mendez-Monsanto, Lianet ; Bastianello, Nicola ; Fitzgerald, Emma LU orcid and Callebaut, Gilles (2024) 2024 Joint European Conference on Networks and Communications and 6G Summit, EuCNC/6G Summit 2024 In 2024 Joint European Conference on Networks and Communications and 6G Summit, EuCNC/6G Summit 2024 p.547-552
Abstract

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... (More)

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.

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Please use this url to cite or link to this publication:
author
; ; ; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
2024 Joint European Conference on Networks and Communications and 6G Summit, EuCNC/6G Summit 2024
series title
2024 Joint European Conference on Networks and Communications and 6G Summit, EuCNC/6G Summit 2024
pages
6 pages
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
conference name
2024 Joint European Conference on Networks and Communications and 6G Summit, EuCNC/6G Summit 2024
conference location
Antwerp, Belgium
conference dates
2024-06-03 - 2024-06-06
external identifiers
  • scopus:85199883673
ISBN
9798350344998
DOI
10.1109/EuCNC/6GSummit60053.2024.10597081
language
English
LU publication?
yes
id
078d71a6-e5a7-4cfa-89af-74547e2743c9
date added to LUP
2024-12-18 15:31:26
date last changed
2025-04-04 14:59:50
@inproceedings{078d71a6-e5a7-4cfa-89af-74547e2743c9,
  abstract     = {{<p>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.</p>}},
  author       = {{Demir, Ozlem Tugfe and Mendez-Monsanto, Lianet and Bastianello, Nicola and Fitzgerald, Emma and Callebaut, Gilles}},
  booktitle    = {{2024 Joint European Conference on Networks and Communications and 6G Summit, EuCNC/6G Summit 2024}},
  isbn         = {{9798350344998}},
  language     = {{eng}},
  pages        = {{547--552}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  series       = {{2024 Joint European Conference on Networks and Communications and 6G Summit, EuCNC/6G Summit 2024}},
  title        = {{Energy Reduction in Cell-Free Massive MIMO through Fine-Grained Resource Management}},
  url          = {{http://dx.doi.org/10.1109/EuCNC/6GSummit60053.2024.10597081}},
  doi          = {{10.1109/EuCNC/6GSummit60053.2024.10597081}},
  year         = {{2024}},
}