Article (Scientific journals)
Rate-Splitting Multiple Access for Cell-Free ISAC Massive MIMO systems
CAMANA ACOSTA, Mario Rodrigo; GARCIA MORETA, Carla Estefania; Lee, Inkyu
2025In IEEE Communications Letters, p. 1-1
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Keywords :
Cell-Free massive MIMO; integrated sensing and communication (ISAC); rate-splitting multiple access (RSMA); Transmit beamforming
Abstract :
[en] This paper investigates rate-splitting multiple access (RSMA) in a cell-free massive multi-input multi-output (MIMO) system with integrated sensing and communication (ISAC). In this sytem model, we consider the maximization of the minimum rate subject to radar sensing constraints and a maximum power budget. A successive convex approximation based scheme is developed to solve the non-convex problem by optimizing the precoding vectors for radar and communication, as well as the common rate variables. Numerical results show the superior performance of the proposed RSMA method over conventional cell-free massive MIMO schemes under different scenarios with varying numbers of APs, antennas, and users.
Disciplines :
Electrical & electronics engineering
Author, co-author :
CAMANA ACOSTA, Mario Rodrigo  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
GARCIA MORETA, Carla Estefania  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
Lee, Inkyu ;  Korea University, School of Electrical Engineering, Seoul, South Korea
External co-authors :
yes
Language :
English
Title :
Rate-Splitting Multiple Access for Cell-Free ISAC Massive MIMO systems
Publication date :
06 October 2025
Journal title :
IEEE Communications Letters
ISSN :
1089-7798
eISSN :
1558-2558
Publisher :
Institute of Electrical and Electronics Engineers Inc.
Pages :
1-1
Peer reviewed :
Peer Reviewed verified by ORBi
Funders :
NRF - National Research Foundation of Korea
Funding number :
RS-2022-NR070834
Funding text :
This work was supported in part by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) under Grant RS-2022-NR070834, and in part by the Institute of Information and Communications Technology Planning and Evaluation (IITP) Grants by MSIT under Grant 2021-0-00467.
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