Deep learning meets wireless network optimization: Identify critical links

L Liu, B Yin, S Zhang, X Cao… - … Transactions on Network …, 2018 - ieeexplore.ieee.org
… approach on a typical optimization problem in wireless networks, which is demand constrained
energy minimization problem in generic multi-dimensional networks. Results from our pre…

[图书][B] Wireless network design: Optimization models and solution procedures

J Kennington, E Olinick, D Rajan - 2010 - books.google.com
… of modeling languages and network optimization techniques that are … wireless domain. To
cover the broad range of important topics in the design and optimization of wireless networks, …

[HTML][HTML] Wireless sensor network optimization: Multi-objective paradigm

M Iqbal, M Naeem, A Anpalagan, A Ahmed, M Azam - Sensors, 2015 - mdpi.com
optimization problem relating to wireless sensor network … formulating the optimization problems
in wireless sensor networks. … relating to multi-objective optimization, this will open up new …

Deep learning based optimization in wireless network

L Liu, Y Cheng, L Cai, S Zhou… - 2017 IEEE international …, 2017 - ieeexplore.ieee.org
… of wireless network optimization. In this paper, we develop the learning based approach on
a typical optimization problem in wireless networks… multi-dimensional networks. Results from …

Network optimization and control

S Shakkottai, R Srikant - … and Trends® in Networking, 2008 - nowpublishers.com
… Srikant, and AL Stolyar, “Optimal resource allocation for multicast flows in multihop wireless
networks,” in Proceedings of the IEEE Conference on Decision and Control, December 2007…

Toward intelligent network optimization in wireless networking: An auto-learning framework

W Zhang, Z Zhang, HC Chao… - IEEE Wireless …, 2019 - ieeexplore.ieee.org
… If we can conduct the optimization operations automatically, network optimization will be
easier to conduct in realworld applications. However, how to reduce human intervention in …

A tutorial on cross-layer optimization in wireless networks

X Lin, NB Shroff, R Srikant - IEEE Journal on Selected areas in …, 2006 - ieeexplore.ieee.org
… single-hop networks), and the joint congestion-control and scheduling problem in … wireless
networks. We will see that convex programming is an important tool for this optimization

Federated learning over wireless networks: Optimization model design and analysis

NH Tran, W Bao, A Zomaya… - … -IEEE conference on …, 2019 - ieeexplore.ieee.org
… , other issues such as uncertainty of wireless channels and UEs with heterogeneous power
… a Federated Learning over wireless network as an optimization problem FEDL that captures …

Wireless network optimization by Perron-Frobenius theory

CW Tan - Foundations and Trends® in Networking, 2015 - nowpublishers.com
… First, the problem parameters and optimization variables in wireless network optimization
problems are mostly nonnegative. Second, it captures succinctly the unique feature of …

Heavy-ball: A new approach to tame delay and convergence in wireless network optimization

J Liu, A Eryilmaz, NB Shroff… - IEEE INFOCOM 2016 …, 2016 - ieeexplore.ieee.org
wireless network optimization. … wireless network utility optimization is not straightforward.
First, since the heavy-ball method was originally designed for unconstrained static optimization, …