P
Pedro H. J. Nardelli
Researcher at Lappeenranta University of Technology
Publications - 208
Citations - 2298
Pedro H. J. Nardelli is an academic researcher from Lappeenranta University of Technology. The author has contributed to research in topics: Computer science & Wireless network. The author has an hindex of 18, co-authored 166 publications receiving 1364 citations. Previous affiliations of Pedro H. J. Nardelli include University of Oulu & State University of Campinas.
Papers
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Journal ArticleDOI
On the Joint Impact of Beamwidth and Orientation Error on Throughput in Directional Wireless Poisson Networks
TL;DR: In networks employing ideal sector antennas without sidelobes, it is found that concavity of the orientation error distribution is sufficient to prove monotonicity and quasi-concavity (both with respect to antenna beamwidth) of spatial throughput and transmission capacity, respectively.
Journal ArticleDOI
Models for the modern power grid
Pedro H. J. Nardelli,Nicolás Rubido,Nicolás Rubido,Chengwei Wang,Murilo S. Baptista,Carlos Pomalaza-Raez,Paulo Cardieri,Matti Latva-aho +7 more
TL;DR: This article reviews different kinds of models for the electric power grid that can be used to understand the modern power system, the smart grid, and indicates possible ways to incorporate the diverse co-evolving systems into the smartgrid model using, for example, network theory and multi-agent simulation.
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Caching in Wireless Small Cell Networks: A Storage-Bandwidth Tradeoff
TL;DR: This letter provides a closed-form expression of the cache-miss probability, defined as the probability of not satisfying users requests over a given coverage area, as a function of signal-to-interference ratio, cache size, base stations density, and content popularity.
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Self-scheduling model for home energy management systems considering the end-users discomfort index within price-based demand response programs
Mohammad Sadegh Javadi,Ali Esmaeel Nezhad,Pedro H. J. Nardelli,Matthew Gough,Mohamed Lotfi,Sergio F. Santos,Joao P. S. Catalao +6 more
TL;DR: Simulation results show that the self-scheduling approach proposed in this paper yields significant reductions in the electricity bills for different electricity tariffs.
Journal ArticleDOI
Massive MIMO-NOMA Networks with Imperfect SIC: Design and Fairness Enhancement
Arthur Sousa de Sena,Francisco Lima,Daniel Benevides da Costa,Zhiguo Ding,Pedro H. J. Nardelli,Ugo Silva Dias,Constantinos B. Papadias +6 more
TL;DR: The results show that if the residual error propagation levels are high, the employment of orthogonal multiple access (OMA) is always preferable than NOMA, and it is shown that the proposed power allocation outperforms conventional massive MIMO-NOMA setups operating with fixed power allocation strategies in terms of outage probability.