Investigation of the Intelligent Reflecting Surfaces-Assisted Non-Orthogonal Multiple Access in 6G Networks

Non-orthogonal multiple access (NOMA) scheme en-ables serving users with the same resource block i.e. frequency or time by multiplexing the signal of the users'. Intelligent reflecting surfaces (IRS) or reconfigurable intelligent surfaces (RIS) is a potential approach for increasing transmission efficiency by mod-ifying signal propagation by tweaking typically passive reflective components. IRS reconfigures the wireless network in this manner to improve system performance. The research considered an IRS-assisted downlink NOMA system. This work modified the reference model by adopting an IRS-specific frequency-distance- dependent path loss model for IRS-NOMA downlink received power and signal-to-interference plus noise ratio (SINR) measurement instead of a typical or conventional distance-dependant path loss model. The incorporation of an IRS-specific path loss model provides a more convenient and better measurement compared to the conventional path loss model. Furthermore, this work figures out an improvement scope in the reference model.