@Article{cmes.2023.027663,
AUTHOR = {Zhiping Lu, Xinwei Yue, Shuo Chen, Weiguo Ma},
TITLE = {Outage Behaviors of Active Intelligent Reflecting Surface Enabled NOMA Communications},
JOURNAL = {Computer Modeling in Engineering \& Sciences},
VOLUME = {137},
YEAR = {2023},
NUMBER = {1},
PAGES = {789--812},
URL = {http://www.techscience.com/CMES/v137n1/52361},
ISSN = {1526-1506},
ABSTRACT = {Active intelligent reflecting surface (IRS) is a novel and promising technology that is able to overcome the multiplicative fading introduced by passive IRS. In this paper, we consider the application of active IRS to non-orthogonal multiple access (NOMA) networks, where the incident signals are amplified actively through integrating amplifier to reflecting elements. More specifically, the performance of active/passive IRS-NOMA networks is investigated over large and small-scale fading channels. Aiming to characterize the performance of active IRS-NOMA networks, the exact and asymptotic expressions of outage probability for a couple of users, i.e., near-end user  and far-end user  are derived by exploiting a 1-bit coding scheme. Based on approximated analyses, the diversity orders of user  and user  are obtained for active IRS-NOMA. In addition, the system throughput of active IRS-NOMA is discussed in the delay-sensitive transmission. The simulation results are carried out to verify that: i) The outage behaviors of active IRS-NOMA networks are superior to that of passive IRS-NOMA networks; ii) As the reflection amplitude factors increase, the active IRS-NOMA networks are capable of furnishing the enhanced outage performance; and iii) The active IRS-NOMA has a larger system throughput than passive IRS-NOMA and conventional communications.},
DOI = {10.32604/cmes.2023.027663}
}