Joint Deployment and Multiple Access Design for Intelligent Reflecting Surface Assisted Networks

The fundamental intelligent reflecting surface (IRS) deployment problem is investigated for IRS-assisted networks, where one IRS arranged to be deployed in a specific region assisting the communication between an access point (AP) and multiple users. Specifically, three schemes are considered, namely non-orthogonal (NOMA), frequency division (FDMA), time (TDMA). weighted sum rate maximization joint optimization of location reflection coefficients as well power allocation at AP formulated. non-convex problems obtained NOMA FDMA solved by employing monotonic semidefinite relaxation find performance upper bound. TDMA optimally leveraging time-selective nature IRS. Furthermore, all schemes, low-complexity suboptimal algorithms developed exploiting alternating successive convex approximation techniques, xmlns:xlink="http://www.w3.org/1999/xlink">local optimization method applied optimizing location. Numerical results provided show that: 1) near-optimal can achieved proposed algorithms; 2) xmlns:xlink="http://www.w3.org/1999/xlink">asymmetric xmlns:xlink="http://www.w3.org/1999/xlink">symmetric strategies preferable FDMA/TDMA, respectively; 3) gain with significantly improved