4 papers
A Peer-Relative Representation Learning Framework for Energy Inefficiency Identification in Mobile Network Sites
Eliud Nyakweba Koto, Jaco du Toit, Adham Stoltz +1
Energy consumption is one of the largest operational expenditure items for mobile network operators, yet site-level energy inefficiencies such as faulty cooling controllers, idle r…
Adaptive Two-Stage Online Learning for Service-Affecting Failure Detection in Mobile Core Networks
J. du Toit, G. Fita, J. Salzwedel +2
Mobile network operators monitor aggregated traffic volumes to assess the operational health of core network infrastructure. Reliable failure detection is challenging due to strong…
LDPC codes: tracking non-stationary channel noise using sequential variational Bayesian estimates
J du Toit, J du Preez, R Wolhuter
We present a sequential Bayesian learning method for tracking non-stationary signal-to-noise ratios in LDPC codes using probabilistic graphical models. We represent the LDPC code a…
LDPC codes: comparing cluster graphs to factor graphs
J du Toit, J du Preez, R Wolhuter
We present a comparison study between a cluster and factor graph representation of LDPC codes. In probabilistic graphical models, cluster graphs retain useful dependence between ra…