Learning Based Methods for Traffic Matrix Estimation from Link Measurements

no code implementations • 3 Aug 2020 • Shenghe Xu, Murali Kodialam, T. V. Lakshman, Shivendra Panwar

The traffic matrix (TM) estimation problem is the determination of the traffic demand matrix from link load measurements.

Anomaly Detection Generative Adversarial Network +1

Tomography Based Learning for Load Distribution through Opaque Networks

no code implementations • 18 Jul 2020 • Shenghe Xu, Murali Kodialam, T. V. Lakshman, Shivendra S. Panwar

A key task for over-the-top (OTT) service providers who provide these applications is sending traffic through the networks to minimize delays.

BIG-bench Machine Learning

Realtime Scheduling and Power Allocation Using Deep Neural Networks

no code implementations • 18 Nov 2018 • Shenghe Xu, Pei Liu, Ran Wang, Shivendra S. Panwar

With the increasing number of base stations (BSs) and network densification in 5G, interference management using link scheduling and power control are vital for better utilization of radio resources.

Management Scheduling