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In this paper, we study the transmission strategy of a ground-based beyonddiagonal reconfigurable intelligent surface (BD-RIS), a.k.a RIS 2.0, in anetwork where multiple unmanned aerial vehicles (UAVs) simultaneously transmitsignals to the respective groups of users. It is assumed that each group isassigned subcarriers orthogonal to those assigned to other groups and ratesplitting multiple access (RSMA) is adopted within each group. A correspondingmixed integer nonlinear programming problem (MINLP) is formulated, which aimsto jointly optimize 1) allocation of BD-RIS elements to groups, 2) BD-RIS phaserotations, 3) rate allocation in RSMA, and 4) precoders. To solve the problem,we propose using generalized benders decomposition (GBD) augmented with amanifold-based algorithm. GBD splits the MINLP problem into two sub-problems,namely the primal and the relaxed master problem, which are solved alternatelyand iteratively. In the primal problem, we apply block coordinate descent (BCD)to manage the coupling of variables effectively. Moreover, we recognize themanifold structure in the phase rotation constraint of BD-RIS, enabling theRiemannian conjugate gradient (RCG). Simulation results demonstrate theeffectiveness of the proposed approach in maximizing spectral efficiency.

Optimized Transmission Strategy for UAV-RIS 2.0 Assisted Communications Using Rate Splitting Multiple Access