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Antonio Iera
Researcher at University of Calabria
Publications - 323
Citations - 21724
Antonio Iera is an academic researcher from University of Calabria. The author has contributed to research in topics: Multicast & Quality of service. The author has an hindex of 40, co-authored 311 publications receiving 19063 citations. Previous affiliations of Antonio Iera include Aalborg University & Mediterranean University.
Papers
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Journal ArticleDOI
WAQM: managing QoS in wireless networks by means of an XML-based multiagent system
TL;DR: WAQM is characterised by the following features: it handles a user profile and exploits it jointly with suitable network resource management techniques to maximise user satisfaction; it is semi-automatic; it exploits XML for guaranteeing a light, versatile and standard mechanism for information representation, storing and exchange.
Book ChapterDOI
Comparing Customer Taste Distributions in Vertically Differentiated Mobile Service Markets
Olga Galinina,Leonardo Militano,Antonino Orsino,Sergey Andreev,Giuseppe Araniti,Antonio Iera,Yevgeni Koucheryavy +6 more
TL;DR: A vertically differentiated duopoly market, where competitors offer mobile subscriptions to customers, who diversify in their preferences regarding price and quality is studied, and a numerical procedure is provided that helps characterize an arbitrary taste distribution as well as an arbitrary cost function.
Proceedings ArticleDOI
A Power Based Algorithm for Efficient Radio Resource Management Policy in Integrated Terrestrial/HAP MBMS Systems
TL;DR: It is demonstrated that the use of the proposed RRM policy, coupled to a wise selection of transport channels, leads to the effective management of multiple multicast groups.
Proceedings ArticleDOI
An integrated HAP-satellite communications system for DVB-RCS service provisioning
TL;DR: This study is intended as a research contribution to the understanding of the actual usefulness of introducing a HAP stratum into terrestrial-satellite hybrid wireless systems.
Proceedings ArticleDOI
Exploiting Social Ties at the Mobile Edge through Named Data Networking
TL;DR: A bio-inspired response function is used by a potential provider's device to rate both its available resources and the social ties with the current consumer's device, established according to the Social Internet of Things (SIoT) paradigm.