Filippo Malandra

Filippo Malandra
University at Buffalo, The State University of New York | SUNY Buffalo · Department of Electrical Engineering

Ph.D. in Electrical Engineering

About

25
Publications
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163
Citations
Introduction
I obtained my Ph.D. in Electrical Engineering at the Ecole Polytechnique de Montreal in 2016. I was involved in a IoT related project in collaboration with Ericsson. The project aimed at characterize M2M traffic and to evaluate the performance of LTE access to enable M2M communications. My interests also include wireless communications to enable the Smart Grid, network performance analysis and simulations, optimization, machine learning.

Publications

Publications (25)
Article
Full-text available
While the storage properties and the anticipation potential of many classes of power system loads (such as thermal loads) can be exploited to mitigate renewable sources variability, the challenge to do so in an optimal and coherent manner is significant. This is due to the sheer number and dynamic diversity of the loads that can be involved in any...
Article
Full-text available
The smooth operation of largely deployed Internet of Things (IoT) applications will depend on, among other things, effective infrastructure failure detection. Access failures in wireless network Base Stations (BSs) produce a phenomenon called “sleeping cells”, which can render a cell catatonic without triggering any alarms or provoking immediate ef...
Preprint
Full-text available
The smooth operation of largely deployed Internet of Things (IoT) applications will depend on, among other things, effective infrastructure failure detection. Access failures in wireless network Base Stations (BSs) produce a phenomenon called "sleeping cells", which can render a cell catatonic without triggering any alarms or provoking immediate ef...
Article
Distributed energy resources (DERs) often rely on renewable sources whose random power fluctuations bring about voltage disturbances in distribution networks. Under such circumstances, voltage regulation through centralized control of DERs requires reliable detection and coordination mechanisms. This paper proposes a new data-driven approach for vo...
Preprint
Full-text available
In this paper we tackle the problem of eNodeB failure detection in LTE networks using Binary Classification techniques under smart-cities Machine-to-Machine (M2M) traffic. We train 20 different classifiers with data from two 24 hrs simulations with different traffic volume levels. Input features for the classification models are built aggregating p...
Article
A new mathematical model and a methodology are proposed to evaluate the performance of large-scale RFMesh Networks that use time-slotted ALOHA with Frequency Hopping Spread Spectrum. This type of architecture is quite usual in Advanced Metering Infrastructures (AMIs). An analytic formulation for the delay, based on Markov-modulated modelling of the...
Article
Full-text available
Driven by the need of robust, cost-effective, and ready-to-use solutions to connect wirelessly thousands to million of nodes, an increasing number of applications such as Smart Grids and IoT networks use large-scale Wireless Mesh Networks as transmission support. Tools and methodologies to study the performance of such systems are constantly sought...
Article
The paper presents a model for the characterization of Machine-to-machine (M2M) traffic and the performance evaluation of LTE access to support M2M communication, embedded into a web-based application. The application enables the study of the traffic produced by realistic M2M elements in the context of smart cities. Packet generation for each machi...
Conference Paper
Full-text available
This paper presents a case study to characterize Machine-To-Machine (M2M) traffic in a smart city environment. Real data on the position of machines and three different probability distributions (Poisson, Beta, and deterministic) are used to model the packet generation of some realistic IoT applications. A web application is presented and allows to...
Conference Paper
Full-text available
Driven by the need of robust, cost-effective, and ready-to-use solutions to connect wirelessly thousands to million of nodes, an increasing number of applications such as Smart Grids and IoT networks use large-scale Wireless Mesh Networks as transmission support. Tools and methodologies to study the performance of such systems are constantly sought...
Article
Advanced Metering Infrastructures (AMIs) lay the foundation of a wide variety of smart-grid applications. Despite their low capacity, RF-mesh systems are an increasingly popular option for AMI implementation. In this paper, we present a simulation framework for realistic RF-mesh AMIs with the objective of analyzing the performance of this kind of s...
Conference Paper
Full-text available
This work deals with the performance analysis of a particular type of AMI: the RF-mesh based smart meter network. The system implements a MAC access with a time-slotted ALOHA with the Frequency Hopping Spread Spectrum (FHSS) to reduce co-channel interference by other users. We developed the PeRF-mesh analytic tool to study the performance of such s...
Conference Paper
Full-text available
Advanced meter infrastructures (AMIs) are now widespread and their importance within smart grid systems continues to increase with the advent of new applications. Performance analysis of the infrastructure is key to assess the limits of application deployment. However, due to the large-scale nature of AMI networks that are often composed of tens of...
Conference Paper
Advanced meter infrastructures (AMIs) are now widespread and their importance within smart grid systems continues to increase with the advent of new applications. Performance analysis of the infrastructure is key to assess the limits of application deployment. However, due to the large-scale nature of AMI networks that are often composed of tens of...
Article
Full-text available
Energy consumption of communication systems is becoming a fundamental issue and, among all the sectors, wireless access networks are largely responsible for the increase in consumption. In addition to the access segment, wireless technologies are also gaining popularity for the backhaul infrastructure of cellular systems mainly due to their cost an...

Network

Cited By

Projects

Projects (2)
Project
To design an aggregating pre-processing of the network performance of the region covered by an eNodeB and the adjacent regions, and a machine learning or statistical approach to use these aggregations to detect partial eNodeB failures, based on a Machine to Machine (m2m) traffic simulator of the island of Montreal.
Project
When it comes to studying M2M communications, many questions arise: What type of machines will communicate? Where will they be located? What communication infrastructure will be used to support them? What will be the impact on human communications? This research aims at providing answers to these questions by proposing a new methodology to characterize M2M traffic and to sim- ulate the performance of LTE to support this type of communication. A web application is presented to combine geographic data, mathematical distributions for M2M traffic, and LTE performance simulations. Montreal, the second largest city in Canada, is used as case study: realistic LTE network data are employed to demonstrate the possibilities of the tool, which is available at www.trafficM2Modelling.com.