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Recently, the use of intelligent reflecting surface (IRS) has gainedconsiderable attention in wireless communications. By intelligently adjustingthe passive reflection angle, IRS is able to assist the base station (BS) toextend the coverage and improve spectral efficiency. This paper considers ajoint symbol-level precoding (SLP) and IRS reflecting design to minimize thesymbol-error probability (SEP) of the intended users in an IRS-aided multiuserMISO downlink. We formulate the SEP minimization problems to pursue uniformlygood performance for all users for both QAM and PSK constellations. Theresulting problem is non-convex and we resort to alternating minimization toobtain a stationary solution. Simulation results demonstrate that under the aidof IRS our proposed design indeed enhances the bit-error rate performance. Inparticular, the performance improvement is significant when the number of IRSelements is large.

Minimum Symbol-Error Probability Symbol-Level Precoding with Intelligent Reflecting Surface