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In this paper, we consider intelligent reflecting surface (IRS) in anon-orthogonal multiple access (NOMA)-aided Integrated Sensing andMulticast-Unicast Communication (ISMUC) system, where the multicast signal isused for sensing and communications while the unicast signal is used only forcommunications. Our goal is to depict whether the IRS improves the performanceof NOMA-ISMUC system or not under the imperfect/perfect successive interferencecancellation (SIC) scenario. Towards this end, we formulate a non-convexproblem to maximize the unicast rate while ensuring the minimum targetillumination power and multicast rate. To settle this problem, we employ theDinkelbach method to transform this original problem into an equivalent one,which is then solved via alternating optimization algorithm and semidefiniterelaxation (SDR) with Sequential Rank-One Constraint Relaxation (SROCR). Basedon this, an iterative algorithm is devised to obtain a near-optimal solution.Computer simulations verify the quick convergence of the devised iterativealgorithm, and provide insightful results. Compared to NOMA-ISMUC without IRS,IRS-aided NOMA-ISMUC achieves a higher rate with perfect SIC but keeps thealmost same rate in the case of imperfect SIC.

Is the Performance of NOMA-aided Integrated Sensing and Multicast-Unicast Communications Improved by IRS?