Design and analysis of e-commerce and modern logistics for regional economic integration in wireless networks
X Tang, G Wang - EURASIP Journal on Wireless Communications and …, 2020 - Springer
The rapid development of e-commerce has greatly promoted the development of modern
logistics. The application level of e-commerce and the application status of modern logistics …
logistics. The application level of e-commerce and the application status of modern logistics …
Fundamental limits of community detection from multi-view data: multi-layer, dynamic and partially labeled block models
Multi-view data arises frequently in modern network analysis eg relations of multiple types
among individuals in social network analysis, longitudinal measurements of interactions …
among individuals in social network analysis, longitudinal measurements of interactions …
Inter-cell slicing resource partitioning via coordinated multi-agent deep reinforcement learning
Network slicing enables the operator to configure virtual network instances for diverse
services with specific requirements. To achieve the slice-aware radio resource scheduling …
services with specific requirements. To achieve the slice-aware radio resource scheduling …
The fixed point iteration of positive concave mappings converges geometrically if a fixed point exists: Implications to wireless systems
T Piotrowski, RLG Cavalcante - IEEE Transactions on Signal …, 2022 - ieeexplore.ieee.org
We prove that the fixed point iteration of arbitrary positive concave mappings with nonempty
fixed point set converges geometrically for any starting point. We also show that positivity is …
fixed point set converges geometrically for any starting point. We also show that positivity is …
Research on image recognition of intangible cultural heritage based on CNN and wireless network
E Liu - EURASIP Journal on Wireless Communications and …, 2020 - Springer
The image of national costumes is the main way of presenting the digitalization of intangible
cultural heritage and provides important resources for educational informatization. How to …
cultural heritage and provides important resources for educational informatization. How to …
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 …
Network slicing via transfer learning aided distributed deep reinforcement learning
Deep reinforcement learning (DRL) has been in-creasingly employed to handle the dynamic
and complex re-source management in network slicing. The deployment of DRL policies in …
and complex re-source management in network slicing. The deployment of DRL policies in …
Positive concave deep equilibrium models
Deep equilibrium (DEQ) models are widely recognized as a memory efficient alternative to
standard neural networks, achieving state-of-the-art performance in language modeling and …
standard neural networks, achieving state-of-the-art performance in language modeling and …
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 …
utilities that are both fair and efficient in a well-defined sense. To cover as many applications …
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 …