• Analysis of dynamic channel bonding in dense networks of WLANs

  Faridi, Azadeh; Bellalta, Boris; Checco, Alessandro (Institute of Electrical and Electronics Engineers (IEEE), 2016)

  Dynamic Channel Bonding (DCB) allows for the dynamic selection and use of multiple contiguous basic channels in Wireless Local Area Networks (WLANs). A WLAN operating under DCB can enjoy a larger bandwidth, when available, ...
• A high efficiency MAC protocol for WLANs: providing fairness in dense scenarios

  Sanabria Russo, Luis; Barceló, Jaume; Bellalta, Boris; Gringoli, Francesco (Institute of Electrical and Electronics Engineers (IEEE), 2016)

  Collisions are a main cause of throughput degradation in wireless local area networks. The current contention mechanism used in the IEEE 802.11 networks is called carrier sense multiple access with collision avoidance ...
• HARE: supporting efficient uplink multi-hop communications in self-organizing LPWANs

  Vázquez, Toni Adame; Barrachina Muñoz, Sergio; Bellalta, Boris; Bel, Albert (MDPI, 2018)

  The emergence of low-power wide area networks (LPWANs) as a new agent in the Internet of Things (IoT) will result in the incorporation into the digital world of low-automated processes from a wide variety of sectors. The ...
• Cooperative awareness in VANETs: on ETSI EN 302 637-2 performance

  Lyamin, Nikita; Vinel, Alexey; Jonsson, Magnus; Bellalta, Boris (Institute of Electrical and Electronics Engineers (IEEE), 2017)

  Cooperative awareness on the road is intended to support the road users by providing knowledge about the surroundings and relies on the information exchange enabled by vehicular communications. To achieve this goal the ...
• A study of the effect of different types of noise on the precision of supervised learning techniques

  Nettleton, David F.; Orriols Puig, Albert; Fornells, Albert (Springer, 2010)

  Machine learning techniques often have to deal with noisy data, which may affect the accuracy of the resulting data models. Therefore, effectively dealing with noise is a key aspect in supervised learning to obtain reliable ...
• The Lagrangean relaxation for the flow shop scheduling problem with precedence constraints, release dates and delivery times

  Fabri, Marcelus; Ramalhinho, Helena; de Souza, Mauricio C.; Ravetti, Martin G. (Hindawi, 2019)

  This work aims to present a methodology to support a company in the automotive business on scheduling the jobs on its final processes. These processes are: (i) checking the final product and (ii) loading the dispatch trucks. ...
• Performance assessment technologies for the support of musical instrument learning

  Eremenko, Vsevolod; Morsi, Alia; Narang, Jyoti; Serra, Xavier (2020)

  Recent technological developments are having a significant impact on musical instruments and singing voice learning. A proof is the number of successful software applications that are being used by aspiring musicians in ...
• Interfering channel estimation in radar-cellular coexistence: how much information do we need?

  Liu, Fan; García Rodriguez, Adrián; Masouros, Christos; Geraci, Giovanni (Institute of Electrical and Electronics Engineers (IEEE), 2019)

  In this paper, we focus on the coexistence between a MIMO radar and cellular base stations. We study the interfering channel estimation, where the radar is operated in the “search and track” mode, and the BS receives the ...
• Enhanced multiuser superposition transmission through structured modulation

  Fang, Dong; Huang, Yu Chih; Geraci, Giovanni; Ding, Zhiguo; Claussen, Holger (Institute of Electrical and Electronics Engineers (IEEE), 2019)

  The fifth-generation (5G) air interface, namely, dynamic multiple access (MA) based on multiuser superposition transmission (MUST) and orthogonal MA (OMA), may require a complicated scheduling and heavy signaling overhead. ...
• Beamforming with artificial noise for secure MISOME cognitive radio transmissions

  Al-Nahari, Azzam; Geraci, Giovanni; Al-Jamali, Mukarram; Hossam Ahmed, Mohamed; Yang, Nan (Institute of Electrical and Electronics Engineers (IEEE), 2018)

  In this paper, we consider multiple-input single-output multi-eavesdropper cognitive radio networks (MISOME-CRNs), where a secondary user (SU) aims to transmit confidential information to a legitimate SU receiver in the ...
• Towards blockchain for decentralized self-organizing wireless networks

  Platt, Steven; Oliver Riera, Miquel (Institute of Electrical and Electronics Engineers (IEEE), 2019)

  Distributed consensus mechanisms have been widely researched and made popular with a number of blockchain-based token applications, such as Bitcoin, and Ethereum. Although these ...
• A distributed ledger-enabled interworking model for the wireless air interface

  Platt, Steven; Oliver Riera, Miquel (Institute of Electrical and Electronics Engineers (IEEE), 2019)

  While direct allocation of spectrum and evolved medium access protocols provide a base for ubiquitous wireless connectivity, the existing TCP/IP and OSI models were designed for wired networks and do not address open ...
• Predication drives verb cortical signatures

  Hernandez, Mireia; Fairhall, Scott L.; Lenci, Alessandro; Baronai, Marco; Caramazza, Alfonso (MIT Press, 2014)

  Verbs and nouns are fundamental units of language, but their neural instantiation remains poorly understood. Neuro- psychological research has shown that nouns and verbs can be damaged independently of each other, and ...
• Three-dimensional regional bi-ventricular shape remodeling is associated with exercise capacity in endurance athletes

  Bernardino, Gabriel; Sanz de la Garza, Maria; Domenech Ximenos, Blanca; Prat Gonzàlez, Susanna; Perea, Rosario J.; Blanco, Isabel; Burgos, Felip; Sepúlveda Martínez, Álvaro; Rodríguez López, Mérida; Crispi, Fàtima; González Ballester, Miguel Ángel, 1973-; De Craene, Mathieu; Sitges, Marta; Bijnens, Bart (Springer, 2020)

  Aims: Endurance athletes develop cardiac remodeling to cope with increased cardiac output during exercise. This remodeling is both anatomical and functional and shows large interindividual variability. In this study, we ...
• Lying in a native and foreign language

  Duñabeitia, Jon Andoni; Costa, Albert, 1970- (Springer, 2015)

  This study explores the interaction between deceptive language and second language processing. One hundred participants were asked to produce veridical and false statements in either their first or second language. Pupil ...
• Sparsification of binary CSPs

  Butti, Silvia; Stanislav Zivný (SIAM (Society for Industrial and Applied Mathematics), 2020)

  A cut ε-sparsifier of a weighted graph G is a re-weighted subgraph of G of (quasi)linear size that preserves the size of all cuts up to a multiplicative factor of ε. Since their intro- duction by Bencz´ur and Karger ...
• 5G massive MIMO architectures: self-backhauled small cells versus direct access

  Bonfante, Andrea; Galati Giordano, Lorenzo; López Pérez, David; García Rodríguez, Adrián; Geraci, Giovanni; Baracca, Paolo; Butt, Majid; Marchetti, Nicola (Institute of Electrical and Electronics Engineers (IEEE), 2019)

  In this paper, we focus on one of the key technologies for the fifth-generation wireless communication networks, massive multiple-input-multiple-output (mMIMO), by investigating two of its most relevant architectures: ...
• Understanding UAV cellular communications: from existing networks to massive MIMO

  Geraci, Giovanni; García Rodríguez, Adrián; Galati Giordano, Lorenzo; López Pérez, David; Björnson, Emil (Institute of Electrical and Electronics Engineers (IEEE), 2018)

  The purpose of this article is to bestow the reader with a timely study of UAV cellular communications, bridging the gap between the 3GPP standardization status quo and the more forward-looking research. Special emphasis ...
• Language switching makes pronunciation less nativelike

  Goldrick, Matthew; Runnqvist, Elin; Costa, Albert, 1970- (SAGE Publications, 2014)

  It is well known that multilingual speakers’ nonnative productions are accented. Do these deviations from monolingual productions simply reflect the mislearning of nonnative sound categories, or can difficulties in processing ...
• The Essential guide to realizing 5G-Connected UAVs with massive MIMO

  García Rodríguez, Adrián; Geraci, Giovanni; López Pérez, David; Galati Giordano, Lorenzo; Ding, Ming; Björnson, Emil (Institute of Electrical and Electronics Engineers (IEEE), 2019)

  What will it take for drones—and the whole associated ecosystem—to take off? Arguably, infallible command and control (C&C) channels for safe and autonomous flying, and high-throughput links for multi-purpose live video ...

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