5 citations · 8 across the 8 of their papers we have counts for
15 papers
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…
Deep Learning Based Hybrid Precoding in Dual-Band Communication Systems
Rafail Ismayilov, Renato L. G. Cavalcante, Sławomir Stańczak
We propose a deep learning-based method that uses spatial and temporal information extracted from the sub-6GHz band to predict/track beams in the millimeter-wave (mmWave) band. In…
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…
Multi-Group Multicast Beamforming by Superiorized Projections onto Convex Sets
Jochen Fink, Renato L. G. Cavalcante, Slawomir Stanczak
In this paper, we propose an iterative algorithm to address the nonconvex multi-group multicast beamforming problem with quality-of-service constraints and per-antenna power constr…