5 citations · 8 across the 14 of their papers we have counts for
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Closed-form max-min power control for some cellular and cell-free massive MIMO networks
Lorenzo Miretti, Renato L. G. Cavalcante, Slawomir Stanczak +3
Many common instances of power control problems for cellular and cell-free massive MIMO networks can be interpreted as max-min utility optimization problems involving affine interf…
Deep Learning Beam Optimization in Millimeter-Wave Communication Systems
Rafail Ismayilov, Renato L. G. Cavalcante, Sławomir Stańczak
We propose a method that combines fixed point algorithms with a neural network to optimize jointly discrete and continuous variables in millimeter-wave communication systems, so th…
Robust Cell-Load Learning with a Small Sample Set
Daniyal Amir Awan, Renato L. G. Cavalcante, Slawomir Stanczak
Learning of the cell-load in radio access networks (RANs) has to be performed within a short time period. Therefore, we propose a learning framework that is robust against uncertai…
Set-Theoretic Learning for Detection in Cell-Less C-RAN Systems
Daniyal Amir Awan, Renato L. G. Cavalcante, Zoran Utkovski +1
Cloud-radio access network (C-RAN) can enable cell-less operation by connecting distributed remote radio heads (RRHs) via fronthaul links to a powerful central unit. In conventiona…
The role of asymptotic functions in network optimization and feasibility studies
R. L. G. Cavalcante, S. Stanczak
Solutions to network optimization problems have greatly benefited from developments in nonlinear analysis, and, in particular, from developments in convex optimization. A key conce…