  In this work, we characterize the outage probability (OP) of an intelligent
reflecting surface (IRS) assisted multi-user multiple-input-single-output
(MU-MISO) communication system. Using a two-step approximation method, we
approximate the signal-to-interference-plus-noise ratio (SINR) for any downlink
user by a Log-Normal random variable. The impact of various system parameters
is studied using the closed-form expression of OP. It is concluded that the
position of IRS has a critical role, but an appropriate increase in the number
of IRS elements would help to compensate for the loss in performance if the
position of IRS is suboptimal.
