Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Resource optimization with load coupling in multi-cell NOMA
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 …
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
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 …
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
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 …
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
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 …
multiple access (NOMA). For multi-cell scenarios, a so-called load-coupling model has been …
Fixed points of nonnegative neural networks
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 …
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
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 …
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
Solutions to network optimization problems have greatly benefited from developments in
nonlinear analysis, and, in particular, from developments in convex optimization. A key …
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
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 …
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 …
communication services continues to rise steadily. The deployment of Space-Air-Ground …