• MU-MIMO MAC protocols for wireless local area networks: a survey

  Liao, Ruizhi; Bellalta, Boris; Oliver, Miquel; Niu, Zhisheng (Institute of Electrical and Electronics Engineers (IEEE), 2016)

  As wireless devices boom and bandwidth-hungry applications (e.g., video and cloud uploading) get popular, today's wireless local area networks (WLANs) become not only crowded but also stressed at throughput. Multiuser ...
• IEEE 802.11ax: high-efficiency WLANs

  Bellalta, Boris (Institute of Electrical and Electronics Engineers (IEEE), 2016)

  IEEE 802.11ax-2019 will replace both IEEE 802.11n-2009 and IEEE 802.11ac-2013 as the next high-throughput WLAN amendment. In this article, we review the expected future WLAN scenarios and use cases that justify the push ...
• A survey about prediction-based data reduction in wireless sensor networks

  Martins Dias, Gabriel; Bellalta, Boris; Oechsner, Simon (ACM Association for Computer Machinery, 2016)

  One of the main characteristics of Wireless Sensor Networks (WSNs) is the constrained energy resources of their wireless sensor nodes. Although this issue has been addressed in several works and received much attention ...
• Throughput analysis in high density WLANs

  Bellalta, Boris (Institute of Electrical and Electronics Engineers (IEEE), 2016)

  This letter proposes a simple but accurate approximation to analytically model both the inter-wireless local area networks (WLANs) interactions and the negative effect of collisions in the performance of high density WLAN ...
• Reputation-based joint scheduling of households appliances and storage in a microgrid with a shared battery

  AlSkaif, Tarek; Luna, Adriana C.; Guerrero Zapata, Manel; Guerrero, Josep M.; Bellalta, Boris (Elsevier, 2017)

  Due to the decreasing revenues from the surplus renewable energy injected into the grid, mechanisms promoting self-consumption of this energy are becoming increasingly important. Demand response (DR) and local storage are ...
• Multi-hop communication in the uplink for LPWANs

  Barrachina Muñoz, Sergio; Bellalta, Boris; Adame, Toni; Bel, Albert (Elsevier, 2017)

  Low-Power Wide Area Networks (LPWANs) have arisen as a promising communication technology for supporting Internet of Things (IoT) services due to their low power operation, wide coverage range, low cost and scalability. ...
• 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. ...
• 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 ...
• 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: ...

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