Clustered Cell-Free Multi-User Multiple-Antenna Systems with Rate-Splitting: Precoder Design and Power Allocation

In this paper, we address two crucial challenges in the design of cell-free (CF) systems: degradation in the performance of CF systems by imperfect channel state information at the transmitter (CSIT) and high computational/signaling loads arising from the increasing number of distributed antennas an...

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Vydáno v:	IEEE transactions on communications Ročník 71; číslo 10; s. 1
Hlavní autoři:	Flores, Andre R., De Lamare, Rodrigo C., Mishra, Kumar Vijay
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 01.10.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Algorithms Antennas Cell-free Central Processing Unit cluster precoder Clusters Computer architecture ergodic sum-rate multi-user MIMO rate-splitting Receivers Resource management Robustness Signal to noise ratio Splitting State (computer science) Streams
ISSN:	0090-6778, 1558-0857
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Abstract	In this paper, we address two crucial challenges in the design of cell-free (CF) systems: degradation in the performance of CF systems by imperfect channel state information at the transmitter (CSIT) and high computational/signaling loads arising from the increasing number of distributed antennas and parameters to be exchanged. To mitigate the effects of imperfect CSIT, we employ rate-splitting (RS) multiple-access, which separates the messages into common and private streams. Unlike prior works, we present a clustered CF multi-user multiple-antenna framework with RS, which groups the transmit antennas in several clusters to reduce the computational and signaling loads. The proposed RS-CF system employs one common stream per cluster to exploit the network diversity. Furthermore, we propose new cluster-based linear precoders for this framework. We then devise a power allocation strategy for the common and private streams within clusters and derive closed-form expressions for the sum-rate performance of the proposed cluster-based RS-CF system. Numerical results show that the proposed clustered RS-CF system and algorithms outperform existing approaches.
AbstractList	In this paper, we address two crucial challenges in the design of cell-free (CF) systems: degradation in the performance of CF systems by imperfect channel state information at the transmitter (CSIT) and high computational/signaling loads arising from the increasing number of distributed antennas and parameters to be exchanged. To mitigate the effects of imperfect CSIT, we employ rate-splitting (RS) multiple-access, which separates the messages into common and private streams. Unlike prior works, we present a clustered CF multi-user multiple-antenna framework with RS, which groups the transmit antennas in several clusters to reduce the computational and signaling loads. The proposed RS-CF system employs one common stream per cluster to exploit the network diversity. Furthermore, we propose new cluster-based linear precoders for this framework. We then devise a power allocation strategy for the common and private streams within clusters and derive closed-form expressions for the sum-rate performance of the proposed cluster-based RS-CF system. Numerical results show that the proposed clustered RS-CF system and algorithms outperform existing approaches.
Author	Mishra, Kumar Vijay Flores, Andre R. De Lamare, Rodrigo C.
Author_xml	– sequence: 1 givenname: Andre R. orcidid: 0000-0001-8059-570X surname: Flores fullname: Flores, Andre R. organization: Centre for Telecommunications Studies, Pontifical Catholic University of Rio de Janeiro, Rio de Janeiro, Brazil – sequence: 2 givenname: Rodrigo C. orcidid: 0000-0003-2322-6451 surname: De Lamare fullname: De Lamare, Rodrigo C. organization: Centre for Telecommunications Studies, Pontifical Catholic University of Rio de Janeiro, Rio de Janeiro, Brazil – sequence: 3 givenname: Kumar Vijay orcidid: 0000-0002-5386-609X surname: Mishra fullname: Mishra, Kumar Vijay organization: United States DEVCOM Army Research Laboratory, Adelphi, MD, USA
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SubjectTerms	Algorithms Antennas Cell-free Central Processing Unit cluster precoder Clusters Computer architecture ergodic sum-rate multi-user MIMO rate-splitting Receivers Resource management Robustness Signal to noise ratio Splitting State (computer science) Streams
Title	Clustered Cell-Free Multi-User Multiple-Antenna Systems with Rate-Splitting: Precoder Design and Power Allocation
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