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We consider scalable cell-free massive multiple-input multiple-outputnetworks under an open radio access network paradigm comprising user equipments(UEs), radio units (RUs), and decentralized processing units (DUs). UEs areserved by dynamically allocated user-centric clusters of RUs. The correspondingcluster processors (implementing the physical layer for each user) are hostedby the DUs as software-defined virtual network functions. Unlike the currentliterature, mainly focused on the characterization of the user rates underunrestricted fronthaul communication and computation, in this work weexplicitly take into account the fronthaul topology, the limited fronthaulcommunication capacity, and computation constraints at the DUs. In particular,we systematically address the new problem of joint fronthaul load balancing andallocation of the computation resource. As a consequence of our newoptimization framework, we present representative numerical resultshighlighting the existence of an optimal number of quantization bits in theanalog-to-digital conversion at the RUs.

Joint Fronthaul Load Balancing and Computation Resource Allocation in Cell-Free User-Centric Massive MIMO Networks