Reducing Inter-CPU Coordination in User-Centric Distributed Massive MIMO Networks

Marx M.M. Freitas; Daynara D. Souza; Daniel Benevides Da Costa; Andre M. Cavalcante; Luca Valcarenghi; Gilvan S. Borges; Roberto Rodrigues; Joao C.W.A. Costa

doi:10.1109/LWC.2023.3252000

Reducing Inter-CPU Coordination in User-Centric Distributed Massive MIMO Networks

Marx M.M. Freitas
, Daynara D. Souza
, Daniel Benevides Da Costa
, Andre M. Cavalcante
, Luca Valcarenghi
, Gilvan S. Borges
, Roberto Rodrigues
, Joao C.W.A. Costa^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

4 Scopus citations

Abstract

This letter proposes a method for reducing inter-central processing unit (CPU) coordination in user-centric (UC) distributed massive multiple-input multiple-output (D-mMIMO) networks, also called cell-free networks. A two-stage heuristic approach is proposed to reduce the number of inter-coordinated user equipment (UE) (UEs connected to multiple CPUs) in each CPU. Firstly, each UE connects to a master access point (AP) and a primary CPU; then, AP selection is executed. Secondly, each CPU performs a fine-tuning algorithm to drop the worst inter-coordinated UEs. Simulation results reveal that one can reduce inter-CPU coordination while yielding slight degradation in spectral efficiency and improving energy efficiency.

Original language	English
Pages (from-to)	957-961
Number of pages	5
Journal	IEEE Wireless Communications Letters
Volume	12
Issue number	6
DOIs	https://doi.org/10.1109/LWC.2023.3252000
State	Published - 1 Jun 2023
Externally published	Yes

Bibliographical note

Publisher Copyright:
© 2012 IEEE.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Cell-free networks
distributed massive MIMO
inter-CPU coordination
user-centric approach

ASJC Scopus subject areas

Control and Systems Engineering
Electrical and Electronic Engineering

Access to Document

10.1109/LWC.2023.3252000

Cite this

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title = "Reducing Inter-CPU Coordination in User-Centric Distributed Massive MIMO Networks",

abstract = "This letter proposes a method for reducing inter-central processing unit (CPU) coordination in user-centric (UC) distributed massive multiple-input multiple-output (D-mMIMO) networks, also called cell-free networks. A two-stage heuristic approach is proposed to reduce the number of inter-coordinated user equipment (UE) (UEs connected to multiple CPUs) in each CPU. Firstly, each UE connects to a master access point (AP) and a primary CPU; then, AP selection is executed. Secondly, each CPU performs a fine-tuning algorithm to drop the worst inter-coordinated UEs. Simulation results reveal that one can reduce inter-CPU coordination while yielding slight degradation in spectral efficiency and improving energy efficiency.",

keywords = "Cell-free networks, distributed massive MIMO, inter-CPU coordination, user-centric approach",

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doi = "10.1109/LWC.2023.3252000",

language = "English",

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AU - Freitas, Marx M.M.

AU - Souza, Daynara D.

AU - Costa, Daniel Benevides Da

AU - Cavalcante, Andre M.

AU - Valcarenghi, Luca

AU - Borges, Gilvan S.

AU - Rodrigues, Roberto

AU - Costa, Joao C.W.A.

PY - 2023/6/1

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AB - This letter proposes a method for reducing inter-central processing unit (CPU) coordination in user-centric (UC) distributed massive multiple-input multiple-output (D-mMIMO) networks, also called cell-free networks. A two-stage heuristic approach is proposed to reduce the number of inter-coordinated user equipment (UE) (UEs connected to multiple CPUs) in each CPU. Firstly, each UE connects to a master access point (AP) and a primary CPU; then, AP selection is executed. Secondly, each CPU performs a fine-tuning algorithm to drop the worst inter-coordinated UEs. Simulation results reveal that one can reduce inter-CPU coordination while yielding slight degradation in spectral efficiency and improving energy efficiency.

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KW - user-centric approach

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Reducing Inter-CPU Coordination in User-Centric Distributed Massive MIMO Networks

Abstract

Bibliographical note

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this