This paper investigates the radio resource management (RRM) design for multiuser rate-splitting multiple access (RSMA), taking into account various characteristics of practical wireless systems. These characteristics include the use of discrete rates, the inability to serve all users, and imperfect successive interference cancellation (SIC). The authors highlight that a failure to consider these factors in RRM design can lead to inefficient use of radio resources. To address this, the RRM of RSMA is formulated as optimization problems aimed at maximizing the weighted sum rate (WSR) and weighted energy efficiency (WEE). These problems jointly optimize beamforming, user admission, and discrete/continuous rates, while also accounting for imperfect SIC. The resulting formulations are nonconvex mixed-integer nonlinear programs (MINLPs), which are challenging to solve. Despite the difficulty, the researchers developed algorithms capable of finding high-quality solutions. Simulations demonstrate that carefully considering these characteristics leads to significant gains.