Resource optimization with load coupling in multi-cell NOMA

L You, D Yuan, L Lei, S Sun… - IEEE Transactions …, 2018 - ieeexplore.ieee.org
Optimizing non-orthogonal multiple access (NOMA) in multi-cell scenarios is much more
challenging than the single-cell case because inter-cell interference must be considered …

Connections between spectral properties of asymptotic map**s and solutions to wireless network problems

RLG Cavalcante, Q Liao… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
In this study, we establish connections between asymptotic functions and properties of
solutions to important problems in wireless networks. We start by introducing a class of self …

Closed-form max-min power control for some cellular and cell-free massive MIMO networks

L Miretti, RLG Cavalcante, S Stańczak… - 2022 IEEE 95th …, 2022 - ieeexplore.ieee.org
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 …

A note on decoding order in user grou** and power optimization for multi-cell NOMA with load coupling

L You, D Yuan - IEEE Transactions on Wireless …, 2020 - ieeexplore.ieee.org
In this technical note, we present a new theoretical result for multi-cell non-orthogonal
multiple access (NOMA). For multi-cell scenarios, a so-called load-coupling model has been …

Fixed points of nonnegative neural networks

TJ Piotrowski, RLG Cavalcante, M Gabor - Journal of Machine Learning …, 2024 - jmlr.org
We use fixed point theory to analyze nonnegative neural networks, which we define as
neural networks that map nonnegative vectors to nonnegative vectors. We first show that …

Characterization of the weak Pareto boundary of resource allocation problems in wireless networks–Implications to cell-less systems

RLG Cavalcante, L Miretti… - ICC 2023-IEEE …, 2023 - ieeexplore.ieee.org
We establish necessary and sufficient conditions for a network configuration to provide
utilities that are both fair and efficient in a well-defined sense. To cover as many applications …

The role of asymptotic functions in network optimization and feasibility studies

RLG Cavalcante, S Stanczak - 2017 IEEE Global Conference …, 2017 - ieeexplore.ieee.org
Solutions to network optimization problems have greatly benefited from developments in
nonlinear analysis, and, in particular, from developments in convex optimization. A key …

Performance limits of solutions to network utility maximization problems

RLG Cavalcante, S Stańczak - ar**s and the convergence speed of the standard fixed point algorithm
RLG Cavalcante, S Stańczak - 2018 IEEE International …, 2018 - ieeexplore.ieee.org
Important problems in wireless networks can often be solved by computing fixed points of
standard or contractive interference map**s, and the conventional fixed point algorithm is …

Optimization of Air Network Resources Based on Deep Reinforcement Learning

Y Zhang, H Cui - … on Machine Learning and Intelligent Systems …, 2024 - ieeexplore.ieee.org
With the advent of 5G and the Internet of Things (IoT), the demand for stable and reliable
communication services continues to rise steadily. The deployment of Space-Air-Ground …