University of Oulu

M. Farooq, M. Juntti and L. -N. Tran, "Power Control for Multigroup Multicast Cell-Free Massive MIMO Downlink: Invited Paper," 2021 29th European Signal Processing Conference (EUSIPCO), 2021, pp. 930-934, doi: 10.23919/EUSIPCO54536.2021.9615937

Power control for multigroup multicast cell-free massive MIMO downlink : invited paper

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Author: Farooq, Muhammad1; Juntti, Markku2; Tran, Le-Nam1
Organizations: 1School of Electrical and Electronic Engineering, University College Dublin, Ireland
2Centre for Wireless Communications, University of Oulu, P.O.Box 4500, FI-90014 University of Oulu, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.2 MB)
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Language: English
Published: Institute of Electrical and Electronics Engineers, 2021
Publish Date: 2022-02-16


We consider a multigroup multicast cell-free multiple-input multiple-output (MIMO) downlink system with short-term power constraints. In particular, the normalized conjugate beamforming scheme is adopted at each access point (AP) to keep the downlink power strictly under the power budget regardless of small scale fading. In the considered scenario, APs multicast signals to multiple groups of users whereby users in the same group receive the same message. Under this setup, we are interested in maximizing the minimum achievable rate of all groups, commonly known as the max-min fairness problem, which has not been studied before in this context. To solve the considered problem, we first present a bisection method which in fact has been widely used in previous studies for cell-free massive MIMO, and then propose an accelerated projected gradient (APG) method. We show that the proposed APG method outperforms the bisection method requiring lesser run time while still achieving the same objective value. Moreover, the considered power control scheme provides significantly improved performance and more fairness among the users compared to the equal power allocation scheme.

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Series: European Signal Processing Conference
ISSN: 2219-5491
ISSN-E: 2076-1465
ISSN-L: 2219-5491
ISBN: 978-9-0827-9706-0
ISBN Print: 978-1-6654-0900-1
Pages: 930 - 934
DOI: 10.23919/EUSIPCO54536.2021.9615937
Host publication: 29th European Signal Processing Conference, EUSIPCO 2021
Conference: European Signal Processing Conference
Type of Publication: A4 Article in conference proceedings
Field of Science: 213 Electronic, automation and communications engineering, electronics
Funding: This publication has emanated from research supported by a Grant from Science Foundation Ireland under Grant number 17/CDA/4786.
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