G
Giovanni Emanuele Corazza
Researcher at University of Bologna
Publications - 337
Citations - 6472
Giovanni Emanuele Corazza is an academic researcher from University of Bologna. The author has contributed to research in topics: Communications satellite & Creativity. The author has an hindex of 36, co-authored 329 publications receiving 5554 citations. Previous affiliations of Giovanni Emanuele Corazza include Electronics and Telecommunications Research Institute & Sapienza University of Rome.
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A statistical model for land mobile satellite channels and its application to nongeostationary orbit systems
TL;DR: A statistical channel model which is a combination of Rice and lognormal statistics, and is suitable in principle to all types of environment (rural, suburban, urban) simply by tuning the model parameters, is introduced.
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Average Rate of Downlink Heterogeneous Cellular Networks over Generalized Fading Channels: A Stochastic Geometry Approach
TL;DR: An analytical framework to compute the average rate of downlink heterogeneous cellular networks is introduced, which avoids the computation of the Coverage Probability (Pcov) and needs only the Moment Generating Function (MGF) of the aggregate interference at the probe mobile terminal.
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Integration of satellite and terrestrial systems in future multimedia communications
Barry G. Evans,Markus Werner,Erich Lutz,Michel Bousquet,Giovanni Emanuele Corazza,Gérard Maral,Robert Rumeau +6 more
TL;DR: The role of satellite communications in future telecommunication networks and service provision is examined, and future ways forward for satellites are outlined, and the research challenges and technology advances needed to facilitate this integrated approach are discussed.
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Potential Originality and Effectiveness: The Dynamic Definition of Creativity
TL;DR: In this article, a new theoretical framework for the study of creativity is proposed, which is turned from static to dynamic through the introduction of the concept of potential originality and effectiveness.
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Windowed Decoding of Protograph-Based LDPC Convolutional Codes Over Erasure Channels
Aravind R. Iyengar,Marco Papaleo,Paul H. Siegel,Jack K. Wolf,Alessandro Vanelli-Coralli,Giovanni Emanuele Corazza +5 more
TL;DR: The structure of LDPC convolutional code ensembles is suitable to obtain performance close to the theoretical limits over the memoryless erasure channel, both for the BP decoder and windowed decoding but the same structure imposes limitations on the performance over erasure channels with memory.