J
Jorge Ortin
Researcher at University of Zaragoza
Publications - 37
Citations - 401
Jorge Ortin is an academic researcher from University of Zaragoza. The author has contributed to research in topics: Sequential decoding & Wireless network. The author has an hindex of 9, co-authored 34 publications receiving 308 citations. Previous affiliations of Jorge Ortin include Carlos III Health Institute.
Papers
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Proceedings Article
Challenges of designing jointly the backhaul and radio access network in a cloud-based mobile network
TL;DR: An overview of the main challenges that must be tackled to perform a joint design of the backhaul and radio access network in a cloud-based mobile network and proposes the use of cooperative routing schemes that optimize the cell load distribution and admission and congestion control algorithms that use access and backhaul information.
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Augmenting LoRaWAN Performance With Listen Before Talk
TL;DR: This paper proposes a Markovian framework to evaluate the performance of LoRaWANs under such setting in terms of data extraction rate and average delay experienced by transmitted uplink messages and proposes two different implementations of LBT: physical layer LBT based on energy detection only and MAC layer L BT based on layer 2 frame decoding.
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Joint Application Admission Control and Network Slicing in Virtual Sensor Networks
Carmen Delgado,Maria Canales,Jorge Ortin,José Ramón Gállego,Alessandro Redondi,Sonda Bousnina,Matteo Cesana +6 more
TL;DR: This work proposes a mathematical programming framework to model the joint AAC-SNS problem which is then leveraged to design effective solution algorithms and is thoroughly evaluated on realistic WSNs infrastructures.
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On optimal resource allocation in virtual sensor networks
TL;DR: The proposed optimization framework aims to maximize the total number of applications which can share a common physical network, while accounting for the distinguishing characteristics and limitations of the wireless sensor environment.
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Distributed resource allocation in cognitive radio networks with a game learning approach to improve aggregate system capacity
TL;DR: A game theoretic solution for joint channel allocation and power control in cognitive radio networks analyzed under the physical interference model to find a distributed solution that maximizes the network utility, defined with different criteria, with limited information is presented.