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We consider the optimization of a smart radio environment where meta-surfacesare employed to improve the performance of multiuser wireless networks workingat sub-THz frequencies. Motivated by the extreme sparsity of the THz channel wepropose to model each meta-surface as an electronically steerable reflector, byusing only two parameters, regardless of its size. This assumption, althoughsuboptimal in a general multiuser setup, allows for a significant complexityreduction when optimizing the environment and, despite its simplicity, is ableto provide high communication rates. We derive a set of asymptotic resultsproviding insight on the system behavior when both the number of antennas atthe transmitter and the meta-surfaces area grow large. For the optimization wepropose an algorithm based on the Newton-Raphson method and a simpler, yeteffective, heuristic approach based on a map associating meta-surfaces andusers. Through numerical results we provide insights on the system behavior andwe assess the performance limits of the network in terms of supported users andspatial density of the meta-surfaces.

Optimization of IRS-aided Sub-THz Communications under practical design constraints