Broadcast/Unicast Convergence in NOMA-based 5G: a RRM Optimization Algorithm

This paper presents an optimization algorithm for resource allocation management in a 5G broadcast/unicast convergence scenario. The convergence of broadcast and unicast services has always been a challenge. In this work, Non-Orthogonal Multiple Access (NOMA) techniques are proposed as the enabler of the broadcast/unicast convergence. Hence, the designed and developed algorithm maximizes the data rate offered for unicast services, while for the broadcast users a predefined minimum percentage of served users and a minimum capacity rate is guaranteed. The algorithm can be executed for NOMA and TDMA. Results indicate that the optimization in the resource allocation level leverages the gain of NOMA techniques in comparison to traditional orthogonal techniques and, therefore, more unicast users could be served by following NOMA solutions. Moreover, in order to mitigate the increment in system complexity due to the introduction of NOMA, a complexity reduction technique has been developed and tested. Results indicate that the performance of the technique varies depending on the target users.