Effective Capacity Analysis of STAR-RIS Assisted NOMA Networks

Huiling Liu, Geng Li, Xingwang Li, Yuanwei Liu, Gaojian Huang, Zhiguo Ding

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66 Scopus citations


This paper studies the performance of the simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) aided non-orthogonal multiple access (NOMA) networks in support of ultra-reliable low-latency communications. We adopt effective capacity (EC) as the metric to explore the delay requirements of NOMA users. Specifically, the analytical expressions of the EC are obtained for the network with a pair of NOMA users on the different sides of the STAR-RIS. Furthermore, the high signal-to-noise ratio (SNR) slope and high SNR power offset are invoked to provide asymptotic analysis of the ECs in high SNR. Some insightful conclusions are drawn from the simulations: 1) the EC of near user (Un) increases linearly while the EC of far user (Um) tends to be a constant in the high SNR; 2) comparing with STAR-orthogonal multiple access and conventional RIS, the use of STAR-RIS NOMA increases the ECs of Un and overall network; 3) increasing the number of STAR-RIS elements is an effective strategy to improve the ECs of both Un and Um.

Original languageBritish English
Pages (from-to)1
Number of pages1
JournalIEEE Wireless Communications Letters
StateAccepted/In press - 2022


  • Delays
  • Effective capacity (EC)
  • Measurement
  • Nakagami distribution
  • NOMA
  • non-orthogonal multiple access (NOMA)
  • Protocols
  • Quality of service
  • reconfigurable intelligent surface (RIS)
  • Signal to noise ratio
  • simultaneous transmitting and reflecting (STAR)


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