Resource Allocation for RSMA-aided URLLC in NAFD Cell-Free mMIMO Systems

This paper investigates the application of rate-splitting multiple access (RSMA) within the framework of network-assisted full-duplex (NAFD) in cell-free massive multiple-input multiple-output (mMIMO) systems to achieve ultra-reliable and low-latency communication (URLLC). We derive the lower-bound expressions for both downlink and uplink ergodic data rates, which are pertinent to scenarios involving short-packet communication. In light of the challenges posed by imperfect channel state information (CSI) and pilot contamination, a graph-coloring based approach is implemented for the remote antenna unit (RAU) selection and pilot assignment. Subsequently, the focus shifts to the design of power allocation for full-duplex data transmission, which is formulated as an optimization problem with the objective of maximizing the sum of the lower bound of ergodic data rates (SER). To address the non-convex nature of this problem, a successive convex approximation (SCA) based algorithm is proposed. The article concludes with an extensive performance analysis that substantiates the effectiveness of the proposed framework and algorithm.

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Publication Details

Published
2024-10-18
DOI
https://doi.org/10.1109/icct62411.2024.10946656
Primary Topic
Advanced biosensing and bioanalysis techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Resource Allocation for RSMA-aided URLLC in NAFD Cell-Free mMIMO Systems

Pengcheng Zhu, Jilong Wu, Yiting Chen, Wei Jia et al.
Advanced biosensing and bioanalysis techniques
article

Resource Allocation for RSMA-aided URLLC in NAFD Cell-Free mMIMO Systems

Pengcheng Zhu, Jilong Wu, Yiting Chen, Wei Jia, Jincheng Zhong, Yunzhen Yu
article en

Abstract

This paper investigates the application of rate-splitting multiple access (RSMA) within the framework of network-assisted full-duplex (NAFD) in cell-free massive multiple-input multiple-output (mMIMO) systems to achieve ultra-reliable and low-latency communication (URLLC). We derive the lower-bound expressions for both downlink and uplink ergodic data rates, which are pertinent to scenarios involving short-packet communication. In light of the challenges posed by imperfect channel state information (CSI) and pilot contamination, a graph-coloring based approach is implemented for the remote antenna unit (RAU) selection and pilot assignment. Subsequently, the focus shifts to the design of power allocation for full-duplex data transmission, which is formulated as an optimization problem with the objective of maximizing the sum of the lower bound of ergodic data rates (SER). To address the non-convex nature of this problem, a successive convex approximation (SCA) based algorithm is proposed. The article concludes with an extensive performance analysis that substantiates the effectiveness of the proposed framework and algorithm.

Southeast University (CN)
Research and Development
Openalex Percentile: Top 77%
Advanced biosensing and bioanalysis techniques
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