  Cell-free multi-user multiple input multiple output networks are a promising
alternative to classical cellular architectures, since they have the potential
to provide uniform service quality and high resource utilisation over the
entire coverage area of the network. To realise this potential, previous works
have developed radio resource management mechanisms using various optimisation
engines. In this work, we consider the problem of overall ergodic spectral
efficiency maximisation in the context of uplink-downlink data power control in
cell-free networks. To solve this problem in large networks, and to address
convergence-time limitations, we apply scalable multi-objective Bayesian
optimisation. Furthermore, we discuss how an intersection of multi-fidelity
emulation and Bayesian optimisation can improve radio resource management in
cell-free networks.
