Scholarlink

This paper presents an analysis of the ergodic capacity of a downlink 50-user Non-Orthogonal Multiple Access (NOMA) system over Rayleigh, Rician, and Nakagami- \(m\) fading channels. Building on prior studies of small-scale NOMA systems, this work investigates how ergodic capacity behaves in large-scale deployments over Rayleigh, Nakagami- \(m\) , and Rician fading environments. The model accounts for practical impairments, including imperfect Channel State Information (CSI) and residual SIC errors, both of which degrade ergodic capacity. We examine how factors such as the shape parameter \(m\) , Rician \(K\) -factor, signal-to-noise ratio (SNR), and user location influence the ergodic capacity of near and edge users. Simulation results, validated through MATLAB, demonstrate that while NOMA is theoretically known for its spectral efficiency benefits compared to Orthogonal Multiple Access (OMA), its actual performance remains highly sensitive to channel estimation and interference. The findings provide actionable insights for optimizing large-scale NOMA deployments in future 5G and beyond networks, particularly in scenarios such as V2X and mMTC.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Performance Evaluation of Multi User Noma for Different Fading Channels

  • 会议论文

  • 发表日期：

    2026年

查看全文
  • Jayakrishnan Menon,
  • Gandheev Kotte,
  • Mihira Kasinadhuni,
  • R. Ramesh

摘要

This paper presents an analysis of the ergodic capacity of a downlink 50-user Non-Orthogonal Multiple Access (NOMA) system over Rayleigh, Rician, and Nakagami- \(m\) fading channels. Building on prior studies of small-scale NOMA systems, this work investigates how ergodic capacity behaves in large-scale deployments over Rayleigh, Nakagami- \(m\) , and Rician fading environments. The model accounts for practical impairments, including imperfect Channel State Information (CSI) and residual SIC errors, both of which degrade ergodic capacity. We examine how factors such as the shape parameter \(m\) , Rician \(K\) -factor, signal-to-noise ratio (SNR), and user location influence the ergodic capacity of near and edge users. Simulation results, validated through MATLAB, demonstrate that while NOMA is theoretically known for its spectral efficiency benefits compared to Orthogonal Multiple Access (OMA), its actual performance remains highly sensitive to channel estimation and interference. The findings provide actionable insights for optimizing large-scale NOMA deployments in future 5G and beyond networks, particularly in scenarios such as V2X and mMTC.