Performance Analysis of IRS-Assisted Full-Duplex Wireless Communication Systems With Interference

• Published in: IEEE communications letters Vol. 26; no. 9; pp. 2027 - 2031
• Main Authors: Tota Khel, Ahmad Massud, Hamdi, Khairi Ashour
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.09.2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Antennas; Approximation; Capacity planning; Full-duplex; Hardware; intelligent reflecting surface; Interference; Interference cancellation; Laguerre expansion; Mathematical analysis; Power system reliability; Probability; random reflection coefficient; Reflectance; Robustness (mathematics); Statistical analysis; System performance; Weibull distribution; Wireless communication; Wireless communication systems; Wireless communications
• ISSN: 1089-7798; 1558-2558
• DOI: 10.1109/LCOMM.2022.3187677

This letter considers a full-duplex wireless communication system, where two users communicate to each other through an intelligent reflecting surface (IRS). Each user is assumed to be equipped with two antennas, one each for reception and transmission. The system suffers from loop-interference (LI) between the transmit and receive antennas, self-interference (SI) through the IRS, and external interferers (EI) available at the IRS and users. The fading channels are modelled by Weibull distribution as it is a generalized and accurate model for both indoor and outdoor communications. By taking into account the IRS random reflection coefficient (RRC), and by applying the Laguerre expansion approximation, we derive closed-form expressions for outage probability and ergodic capacity. Numerical and simulation results show that LI, SI, EI and RRC have sever impacts on the system performance. The results also show the robustness of the Laguerre expansion approximation compared to non-central Chi-squared distribution, in particular, for a small number of IRS elements.