1 citations · 1 across the 2 of their papers we have counts for
4 papers
Learning Based Methods for Traffic Matrix Estimation from Link Measurements
Shenghe Xu, Murali Kodialam, T. V. Lakshman +1
Network traffic demand matrix is a critical input for capacity planning, anomaly detection and many other network management related tasks. The demand matrix is often computed from…
Tomography Based Learning for Load Distribution through Opaque Networks
Shenghe Xu, Murali Kodialam, T. V. Lakshman +1
Applications such as virtual reality and online gaming require low delays for acceptable user experience. A key task for over-the-top (OTT) service providers who provide these appl…
Realtime Scheduling and Power Allocation Using Deep Neural Networks
Shenghe Xu, Pei Liu, Ran Wang +1
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…
Capacity Analysis for Full Duplex Self-backhauled Small Cells
Shenghe Xu, Pei Liu, Sanjay Goyal +1
Full duplex (FD) communication enables simultaneous transmission and reception on the same frequency band. Though it has the potential of doubling the throughput on isolated links,…