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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Bibliographic Details
Published in:IEEE transactions on communications Vol. 71; no. 10; p. 1
Main Authors: Flores, Andre R., De Lamare, Rodrigo C., Mishra, Kumar Vijay
Format: Journal Article
Language:English
Published: New York IEEE 01.10.2023
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
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
Online Access:Get full text
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Summary: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.
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ISSN:0090-6778
1558-0857
DOI:10.1109/TCOMM.2023.3292480