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<p>A Reconfigurable Intelligent Surface-assisted non-orthogonal multiple access-enabled device-to-device communication is studied in this paper. The secondary Device-to-Device network is cognitive radio enabled. The secondary network devices share the cellular user infrastructure in underlay mode. An analytical framework has been developed based on the considered network scenario where direct links are Rayleigh faded while the links through reconfigurable intelligent surface are Rician faded. New analytical expressions for individual user outages and overall system outages are developed. The impact of successive interference cancellation errors is also captured by the analytical formulas. By solving the capacity maximization problem, an algorithm is proposed to choose the best position for reconfigurable intelligent surface, thus reducing the outage performance. A number of network parameters effects on outage performance, including the number of reconfigurable intelligent surface elements, the target SNR and fading characteristics has been investigated. A simulation platform is developed based on the analytical modelling.</p>

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The Outage Performance of a RIS-assisted D2D Network in an Imperfect SIC with NOMA

  • 期刊论文

  • 发表日期：

    2026年4月30日

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  • P. Baskar,
  • Saranya Karattupalayam Chidambaram,
  • Yogesh Kumar Choukiker,
  • Abhijit Bhowmick

摘要

A Reconfigurable Intelligent Surface-assisted non-orthogonal multiple access-enabled device-to-device communication is studied in this paper. The secondary Device-to-Device network is cognitive radio enabled. The secondary network devices share the cellular user infrastructure in underlay mode. An analytical framework has been developed based on the considered network scenario where direct links are Rayleigh faded while the links through reconfigurable intelligent surface are Rician faded. New analytical expressions for individual user outages and overall system outages are developed. The impact of successive interference cancellation errors is also captured by the analytical formulas. By solving the capacity maximization problem, an algorithm is proposed to choose the best position for reconfigurable intelligent surface, thus reducing the outage performance. A number of network parameters effects on outage performance, including the number of reconfigurable intelligent surface elements, the target SNR and fading characteristics has been investigated. A simulation platform is developed based on the analytical modelling.