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Communications and Networking. 16th EAI International Conference, ChinaCom 2021, Virtual Event, November 21-22, 2021, Proceedings

Research Article

6G mURLLC over Cell-Free Massive MIMO Systems in the Finite Blocklength Regime

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  • @INPROCEEDINGS{10.1007/978-3-030-99200-2_32,
        author={Zhong Li and Jie Zeng and Wen Zhang and Shidong Zhou and Ren Ping Liu},
        title={6G mURLLC over Cell-Free Massive MIMO Systems in the Finite Blocklength Regime},
        proceedings={Communications and Networking. 16th EAI International Conference, ChinaCom 2021, Virtual Event, November 21-22, 2021, Proceedings},
        proceedings_a={CHINACOM},
        year={2022},
        month={4},
        keywords={Cell-free massive multiple input multiple output (MIMO) Finite blocklength (FBL) mURLLC Pilot allocation},
        doi={10.1007/978-3-030-99200-2_32}
    }
    
  • Zhong Li
    Jie Zeng
    Wen Zhang
    Shidong Zhou
    Ren Ping Liu
    Year: 2022
    6G mURLLC over Cell-Free Massive MIMO Systems in the Finite Blocklength Regime
    CHINACOM
    Springer
    DOI: 10.1007/978-3-030-99200-2_32
Zhong Li1,*, Jie Zeng2, Wen Zhang1, Shidong Zhou2, Ren Ping Liu3
  • 1: School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications
  • 2: Department of Electronic Engineering, Tsinghua University
  • 3: School of Electrical and Data Engineering, University of Technology Sydney
*Contact email: s190131188@stu.cqupt.edu.cn

Abstract

In order to support the new service requirements-massive ultra-reliable low-latency communications (mURLLC) in the six-generation (6G) mobile communication system, finite blocklength (FBL) information theory has been introduced. Furthermore, cell-free massive multiple input multiple output (MIMO) has emerged as one of the 6G essential promising technologies. A great quantity of distributed access points (APs) jointly serve massive user equipment (UE) at the same time-frequency resources, which can significantly improve various quality-of-service (QoS) metrics for supporting mURLLC. However, as the number of UE grows, the orthogonal pilot resources in the coherent time are insufficient. This leads to serious non-orthogonal pilot contamination and pilot allocation imbalance. Therefore, we propose an analytical cell-free massive MIMO system model and precisely characterize the error probability metric. In particular, we propose a FBL based system model, formulate and resolve the error probability minimization problem, given the latency requirement. Simulation results verify the effectiveness of the proposed scheme and show that the error probability can be improved by up to 15.9%, compared with the classic pilot allocation scheme.

Keywords
Cell-free massive multiple input multiple output (MIMO) Finite blocklength (FBL) mURLLC Pilot allocation
Published
2022-04-05
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-99200-2_32
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