A user's guide to compressed sensing for communications systems
This survey provides a brief introduction to compressed sensing as well as several major
algorithms to solve it and its various applications to communications systems. We firstly …
algorithms to solve it and its various applications to communications systems. We firstly …
A review of advanced algebraic approaches enabling network tomography for future network infrastructures
Network tomography has emerged as one of the lean approaches for efficient network
monitoring, especially aiming at addressing the ever-increasing requirements for scaling …
monitoring, especially aiming at addressing the ever-increasing requirements for scaling …
Predicting future traffic using hidden markov models
Network traffic volume estimation and prediction is an important research topic that attracts
persistent attention from the networking community and the machine learning community …
persistent attention from the networking community and the machine learning community …
Sparse reconstruction using distribution agnostic Bayesian matching pursuit
M Masood, TY Al-Naffouri - IEEE Transactions on Signal …, 2013 - ieeexplore.ieee.org
A fast matching pursuit method using a Bayesian approach is introduced for sparse signal
recovery. This method performs Bayesian estimates of sparse signals even when the signal …
recovery. This method performs Bayesian estimates of sparse signals even when the signal …
Inferring link metrics from end-to-end path measurements: Identifiability and monitor placement
We investigate the problem of identifying individual link metrics in a communication network
from end-to-end path measurements, under the assumption that link metrics are additive and …
from end-to-end path measurements, under the assumption that link metrics are additive and …
Identifiability of link metrics based on end-to-end path measurements
We investigate the problem of identifying individual link metrics in a communication network
from end-to-end path measurements, under the assumption that link metrics are additive and …
from end-to-end path measurements, under the assumption that link metrics are additive and …
Compressed sensing in multi-hop large-scale wireless sensor networks based on routing topology tomography
Y Li, Y Liang - IEEE Access, 2018 - ieeexplore.ieee.org
Data acquisition from multi-hop large-scale outdoor wireless sensor network (WSN)
deployments for environmental monitoring is full of challenges. This is because of the severe …
deployments for environmental monitoring is full of challenges. This is because of the severe …
An AMP-based low complexity generalized sparse Bayesian learning algorithm
In this paper, an approximate message passing-based generalized sparse Bayesian
learning (AMP-Gr-SBL) algorithm is proposed to reduce the computation complexity of the …
learning (AMP-Gr-SBL) algorithm is proposed to reduce the computation complexity of the …
Routing topology inference for wireless sensor networks
Y Liang, R Liu - ACM SIGCOMM Computer Communication Review, 2013 - dl.acm.org
We consider an important problem of wireless sensor network (WSN) routing topology
inference/tomography from indirect measurements observed at the data sink. Previous …
inference/tomography from indirect measurements observed at the data sink. Previous …
Applications of compressed sensing in communications networks
This paper presents a tutorial for CS applications in communications networks. The
Shannon's sampling theorem states that to recover a signal, the sampling rate must be as …
Shannon's sampling theorem states that to recover a signal, the sampling rate must be as …