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Network densification, massive multiple-input multiple-output (MIMO) andmillimeter-wave (mmWave) bands have recently emerged as some of the physicallayer enablers for the future generations of wireless communication networks(5G and beyond). Grounded on prior work on sub-6~GHz cell-free massive MIMOarchitectures, a novel framework for cell-free mmWave massive MIMO systems isintroduced that considers the use of low-complexity hybrid precoders/decoderswhile factors in the impact of using capacity-constrained fronthaul links. Asuboptimal pilot allocation strategy is proposed that is grounded on the ideaof clustering by dissimilarity. Furthermore, based on mathematically tractableexpressions for the per-user achievable rates and the fronthaul capacityconsumption, max-min power allocation and fronthaul quantization optimizationalgorithms are proposed that, combining the use of block coordinate descentmethods with sequential linear optimization programs, ensure a uniformly goodquality of service over the whole coverage area of the network. Simulationresults show that the proposed pilot allocation strategy eludes thecomputational burden of the optimal small-scale CSI-based scheme while clearlyoutperforming the classical random pilot allocation approaches. Moreover, theyalso reveal the various existing trade-offs among the achievable max-minper-user rate, the fronthaul requirements and the optimal hardware complexity(i.e., number of antennas, number of RF chains).

Cell-Free Millimeter-Wave Massive MIMO Systems with Limited Fronthaul Capacity