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In 6th generation (6G) mobile networks, cell-free massive multiple-input multiple-output (MIMO) and intelligent reflecting surfaces (IRS) play a crucial role. Integrating these technologies can significantly enhance communication network performance. This paper explores cell-free massive MIMO systems augmented by IRS, where M multi-antenna base stations (BSs) communicate with K single-antenna users, aided by N IRSs with many passive reflecting elements located within the BSs’ line of sight. Using the maximum ratio combined under perfect channel state information, we begin by examining the probability density function (PDF) of both the desired signal and the interference generated by other users. From these analyses, we then derive the PDF of the signal-to-interference-plus-noise ratio (SINR) for each individual user. Numerical results confirm the accuracy of the SINR PDF.

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SINR Analysis of Cell-Free Massive MIMO Systems Assisted by Intelligent Reflecting Surface

  • 会议论文

  • 发表日期：

    2025年

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  • Si-Nian Jin,
  • Shihang Zhao,
  • Yu Song,
  • Jitong Ma,
  • Moran Ju

摘要

In 6th generation (6G) mobile networks, cell-free massive multiple-input multiple-output (MIMO) and intelligent reflecting surfaces (IRS) play a crucial role. Integrating these technologies can significantly enhance communication network performance. This paper explores cell-free massive MIMO systems augmented by IRS, where M multi-antenna base stations (BSs) communicate with K single-antenna users, aided by N IRSs with many passive reflecting elements located within the BSs’ line of sight. Using the maximum ratio combined under perfect channel state information, we begin by examining the probability density function (PDF) of both the desired signal and the interference generated by other users. From these analyses, we then derive the PDF of the signal-to-interference-plus-noise ratio (SINR) for each individual user. Numerical results confirm the accuracy of the SINR PDF.