Theses

thesis Prof. Granelli

The following section provide a sample of M.Sc. (Laurea Magistrale) and B.Sc. (Laurea Triennale) theses that can be developed under Prof. Granelli’s supervision.

For more info please contact Fabrizio Granelli
M.Sc. Theses Proposals

Optimization of Virtual Network Functions mapping

 ieee document

Virtualization for the Internet of Things

 ieee document

Cell-less cellular network design: beyond the concept of cells, the user is assigned a set of “resources” from the network

Thesis co-advised by Dr. Marco Di Renzo, CNRS

 document iyOd

CrowdSenSim: Simulating Spectrum Crowdsensing Activities for Urban Computing

Thesis co-advised by Drs. Andrea Capponi & Dzmitry Kliazovich, Univ. of Luxembourg

 CrowdSenSim

Emulation of LTE/LTE-A/5G over an open platform: srsLTE, openBTS, OpenAirInterface

 openbts  srsLTE  OAI

Mode Detection using UAV/USRP platforms

GOAL: to detect which technologies are being used in an area; to analyze trade-offs between on-board processing and cloud-based solutions

 Spectrum Sensing, Access and Coexistence Testbed for Cognitive Radio using USRP
B.Sc. Theses Proposals

Remote connection to SDR platforms (with connection analysis)

 github

Networks emulation using mininet

 mininet  reproducing network research

DETECTION OF WIFI DEVICES USING RASPBERRY PI

GOAL: to use promiscuous mode to detect the number of devices within range

UAVs COMMUNICATIONS RELIABILITY THROUGH MESH NETWORKING

GOAL: to test the reliability of qMp mesh approach

Build and setup of a Raspberry PI-based Spectrum Monitoring system

 

INTRODUCTION OF DRONES IN CROWDSENSIM

GOAL: to introduce a new mobility pattern to represent drone users and study their performance in sensing

 Crowdsensim home page
Internships

Remote connection to SDR platforms (with connection analysis)

 github

Networks emulation using mininet

 mininet  reproducing network research

DETECTION OF WIFI DEVICES USING RASPBERRY PI

GOAL: to use promiscuous mode to detect the number of devices within range

UAVs COMMUNICATIONS RELIABILITY THROUGH MESH NETWORKING

GOAL: to test the reliability of qMp mesh approach

Build and setup of a Raspberry PI-based Spectrum Monitoring system

 

INTRODUCTION OF DRONES IN CROWDSENSIM

GOAL: to introduce a new mobility pattern to represent drone users and study their performance in sensing

 Crowdsensim home page