On the Bit Error Rate Analysis of Log-Normal Fading Channel in IRS-setup

• Published in: 2023 IEEE 20th India Council International Conference (INDICON) pp. 209 - 213
• Main Authors: Penchala, Suresh, Bandari, Shravan Kumar, Mani, V.V., Kondoju, Sai Krishna
• Format: Conference Proceeding
• Language: English
• Published: IEEE 14.12.2023
• Subjects: BER; Bit error rate; Closed-form solutions; Fading channels; Intelligent Reflecting Surfaces; Log-normal distribution; Log-Normal fading channel; Monte Carlo methods; Wireless communication; Wireless sensor networks
• ISSN: 2325-9418
• DOI: 10.1109/INDICON59947.2023.10440835

Intelligent Reflecting Surface (IRS) has gained a lot of attention for 6G communication systems due to low-cost reconfigurable meta-materials which can smartly control the wireless propagation channel like never before. In this work, we considered a non-line of sight (NLOS) between the base station and the user. We used the moment generating function (MGF) approach to derive the precise closed-form expression of the probability of bit error rate (BER), and an IRS is used to help create a virtual line of sight (LOS). The wireless channel between the base station-IRS and IRS user is considered to be the log-normal fading channel. The Monte-Carlo (MC) simulated results match the derived theoretical expression. We have investigated the system model under various parameters, namely, the number of reflecting elements, and the log-normal fading parameter. Our analysis suggests that the impact of log-normal fading can be minimized by increasing the number of reflecting elements. In addition, BER is also sensitive to the fading parameter.