L
Leonardo Badia
Researcher at University of Padua
Publications - 202
Citations - 2648
Leonardo Badia is an academic researcher from University of Padua. The author has contributed to research in topics: Wireless network & Markov process. The author has an hindex of 26, co-authored 168 publications receiving 2218 citations. Previous affiliations of Leonardo Badia include IMT Institute for Advanced Studies Lucca & University of Ferrara.
Papers
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Journal ArticleDOI
Spectrum sharing improves the network efficiency for cellular operators
TL;DR: The article describes the potential gain by spectrum sharing between cellular operators in terms of network efficiency and encourages to seriously consider the inter-operator spectrum sharing technologies.
Journal ArticleDOI
Energy Management Policies for Harvesting-Based Wireless Sensor Devices with Battery Degradation
TL;DR: This paper proposes a stochastic Markov chain framework, suitable for policy optimization, which captures the degradation status of the battery, and presents a general result of Markov chains, which exploits the timescale separation between the communication time-slot of the device and the battery degradation process, and enables an efficient optimization.
Proceedings ArticleDOI
Demand and pricing effects on the radio resource allocation of multimedia communication systems
TL;DR: A model of users' satisfaction is developed, in which both requested quality of service and price paid are taken into account, which enables the model to investigate how resource allocation dynamics affect operator revenues and to derive some useful insights.
Journal ArticleDOI
A genetic approach to joint routing and link scheduling for wireless mesh networks
TL;DR: This paper investigates the joint link scheduling and routing issues involved in the delivery of a given backlog from any node of a wireless mesh network towards a specific node (which acts as a gateway), within a given deadline.
Journal ArticleDOI
An optimization framework for joint sensor deployment, link scheduling and routing in underwater sensor networks
TL;DR: This work proposes an integer-linear programming approach to jointly optimize routing, link-scheduling and node placement in underwater sensor networks and results in original solutions, which highlight novel directions for further research in this area.