We develop and assess radio resource management solutions for Integrated Sensing and Communications (ISAC) in 6G networks. A novel sensing topology management scheme is introduced to balance trade-offs between sensing/communication performance and resource consumption. The simulation results demonstrate the impact of the configuration of the sensing topology management scheme on the selected and the effective topology sizes, while further quantifying the sensitivity of the sensing/communication performance w.r.t. the topology size, the number of present active- and idle-mode UEs, the number of sensing tasks, the network deployment density and the radar cross section of sensing targets. This study provides valuable insights for the effective deployment and management of sensing services in 6G mobile networks.

Reconfigurable Intelligent Surfaces (RIS) stand out among the key technologies driving 6G mobile network development. In this paper, we develop and assess radio resource management solutions aimed to exploit the potential of RIS deployments for coverage and throughput enhancement for indoor users in 6G mobile networks. We introduce two heuristic algorithms that jointly control the cell-RIS-user association, user scheduling, transmit beamforming and the RIS's reflective configuration, and compare these algorithms against a RIS-free benchmark. Simulation results are presented to (i) demonstrate the promising potential of RIS deployments in multi-cell/multi-user scenarios; (ii) reveal the inherent trade-off between coverage and throughput enhancement; and (iii) show the performance impact of distinct RIS deployment locations. Our study provides valuable insights for efficiently leveraging RIS in evolving mobile network architectures.