  This work addresses the issue of energy efficiency maximization in a
multi-user network aided by reconfigurable intelligent surface (RIS) with
global reflection capabilities. Two optimization methods are proposed to
optimize the mobile users' powers, the RIS coefficients and the linear receive
filters. Both methods are provably convergent and require only the solution of
convex optimization problems. The numerical results show that the proposed
methods largely outperform heuristic resource allocation schemes.
