Minimize Average PAoI for Grant-Free Random Access Scheme in Cell-Free Massive MIMO

In this letter, we minimize the average peak age of information (PAoI) for a grant-free random access scheme in cell-free massive multiple-input multiple-output (MIMO) system. Leveraging the established dual-disk model, the probability of successful access is derived using stochastic geometry. A closed-form expression of the PAoI is then obtained, enabling exploration of its dependence on key design parameters. By jointly optimizing access control parameters and pilot length, we formulate the problem of minimizing the average PAoI. To efficiently solve this optimization problem, the simulated annealing (SA) algorithm is employed. Finally, simulation results are provided to validate the theoretical analysis and demonstrate the effectiveness of the proposed approach.

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Publication Details

Journal
IEEE Communications Letters
Published
2025-08-15
DOI
https://doi.org/10.1109/lcomm.2025.3599373
Primary Topic
Geochemistry and Geologic Mapping
Type
article
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article

Minimize Average PAoI for Grant-Free Random Access Scheme in Cell-Free Massive MIMO

IEEE Communications Letters
Geochemistry and Geologic Mapping
article

Minimize Average PAoI for Grant-Free Random Access Scheme in Cell-Free Massive MIMO

article en

Abstract

In this letter, we minimize the average peak age of information (PAoI) for a grant-free random access scheme in cell-free massive multiple-input multiple-output (MIMO) system. Leveraging the established dual-disk model, the probability of successful access is derived using stochastic geometry. A closed-form expression of the PAoI is then obtained, enabling exploration of its dependence on key design parameters. By jointly optimizing access control parameters and pilot length, we formulate the problem of minimizing the average PAoI. To efficiently solve this optimization problem, the simulated annealing (SA) algorithm is employed. Finally, simulation results are provided to validate the theoretical analysis and demonstrate the effectiveness of the proposed approach.

IEEE Communications LettersVol. 29(10)
Guangzhou University (CN), Nanjing University of Posts and Telecommunications (CN), Henan Normal University (CN)
Openalex Percentile: Top 72%
Geochemistry and Geologic Mapping
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