In this work, we aim to exploit the benefits offered by intelligent reflecting surfaces (IRS) in non-line-of-sight (NLOS) scenarios and investigate the performance analysis of a multi-IRS-support multiple-input single-output (MISO) communication system under a generalized fading channel, \(\kappa -\mu\) . We followed the moment-generating function (MGF) approach to find out the probability of the bit error rate (BER), the outage probability (OP), and the ergodic capacity (EC) of the system. Owing to the flexibility offered by the \(\kappa -\mu\) channel, by adjusting the fading parameters, the derived expressions cover Rayleigh, Nakagami-m, and Rician-K distributions as corner cases. The analytical expressions along with the help of Monte-Carlo (MC) simulations, confirm the validity of the performance metrics under various conditions. Specifically, after extensive investigation, results suggest that an enhancement in the performance was observed by increasing \(\kappa\) , \(\mu\) , the number of antennas at the base station (BS), and the number of reflecting elements at the IRS. Furthermore, the impact of the position of the IRS on each performance metric is studied in detail. To be precise, it is more beneficial to place the IRS either closer to base station (BS) or to the user.
