2019/02/20 by Guillem Femenias, Femenias, Guillem, Felip Riera-Palou +1 · 4 citations
Engineering · #Advanced MIMO Systems Optimization #FOS: Electrical engineering #Microwave Engineering and Waveguides #Millimeter-Wave Propagation and Modeling #Signal Processing (eess.SP) #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.1902.07503
openalex publication_date 2019/02/20 · openalex created_date 2022/07/29 · openalex updated_date 2026/07/28
Network densification, massive multiple-input multiple-output (MIMO) and\nmillimeter-wave (mmWave) bands have recently emerged as some of the physical\nlayer enablers for the future generations of wireless communication networks\n(5G and beyond). Grounded on prior work on sub-6~GHz cell-free massive MIMO\narchitectures, a novel framework for cell-free mmWave massive MIMO systems is\nintroduced that considers the use of low-complexity hybrid precoders/decoders\nwhile factors in the impact of using capacity-constrained fronthaul links. A\nsuboptimal pilot allocation strategy is proposed that is grounded on the idea\nof clustering by dissimilarity. Furthermore, based on mathematically tractable\nexpressions for the per-user achievable rates and the fronthaul capacity\nconsumption, max-min power allocation and fronthaul quantization optimization\nalgorithms are proposed that, combining the use of block coordinate descent\nmethods with sequential linear optimization programs, ensure a uniformly good\nquality of service over the whole coverage area of the network. Simulation\nresults show that the proposed pilot allocation strategy eludes the\ncomputational burden of the optimal small-scale CSI-based scheme while clearly\noutperforming the classical random pilot allocation approaches. Moreover, they\nalso reveal the various existing trade-offs among the achievable max-min\nper-user rate, the fronthaul requirements and the optimal hardware complexity\n(i.e., number of antennas, number of RF chains).\n