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46 results on '"Calabuig, Daniel"'

1. Optimum Transmission Through the Multiple-Antenna Gaussian Multiple Access Channel

Author

Calabuig, Daniel, Gohary, Ramy H., and Yanikomeroglu, Halim

Subjects
Computer Science - Information Theory
Abstract

This paper studies the optimal points in the capacity region of Gaussian multiple access channels (GMACs) with constant fading, multiple antennas and various power constraints. The points of interest maximize general rate objectives that arise in practical communication scenarios. Achieving these points constitutes the task of jointly optimizing the time-sharing parameters, the input covariance matrices and the order of decoding used by the successive interference cancellation receiver. To approach this problem, Carath\'eodory's theorem is invoked to represent time-sharing and decoding orders jointly as a finite-dimensional matrix variable. This variable enables us to use variational inequalities to extend results pertaining to problems with linear rate objectives to more general, potentially nonconvex, problems, and to obtain a necessary and sufficient condition for the optimality of the transmission parameters in a wide range of problems. Using the insights gained from this condition, we develop and analyze the convergence of an algorithm for solving, otherwise daunting, GMAC-based optimization problems., Comment: IEEE Transactions on Information Theory, 2015

Published
2015
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3. D2D and V2X Communications

Author

Singh, Shubhranshu, primary, Lianghai, Ji, additional, Calabuig, Daniel, additional, Garcia-Roger, David, additional, Mahmood, Nurul H., additional, Pratas, Nuno, additional, Mach, Tomasz, additional, and De Gennaro, Maria Carmela, additional

Published
2018
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12. A delay-centric dynamic resource allocation algorithm for wireless communication Systems Based on HNN

Author

Calabuig, Daniel, Monserrat, Jose F., Gomez-Barquero, David, and Cardona, Narcis

Subjects
Algorithms -- Usage, Neural networks -- Design and construction, Mobile communication systems -- Research, Wireless communication systems -- Research, Frames (Information theory) -- Control, Data communications -- Research, Algorithm, Neural network, Wireless technology, Business, Electronics, Electronics and electrical industries, Transportation industry
Abstract

This paper proposes a dynamic resource-allocation (DRA) algorithm for packet data services in wireless communication systems based on Hopfield neural networks (HNNs). The resource-allocation algorithm assumes a delay-centric approach in that it maximizes resource utilization of the overall system while minimizing the packet delay. The real-time (RT) working capability of HNN hardware implementation means that a very powerful scheduling DRA algorithm can be obtained. A generic formulation of the algorithm is presented to establish the optimal bit rate allocation. In addition, some illustrative examples of this formulation are given, considering specific wireless communication systems, such as General Packet Radio Service (GPRS) or Universal Mobile Telecommunications System (UMTS). To be more precise, the performance of the proposed DRA algorithm is evaluated in a realistic UMTS scenario, considering both RT and nonreal-time (NRT) services. To obtain the best resource distribution and fulfill the different quality-of-service (QoS) levels required by RT and NRT services, the new HNN-based delay-centric DRA algorithm is performed twice. Initially, only the RT services are considered, and following this, all the NRT services are taken into account. The results reveal that the proposed DRA algorithm outperforms other reference algorithms in terms of not only average packet delay but the allocated total bit rate as well. Index Terms--Dynamic resource allocation (DRA), Hopfield neural networks (HNNs), wireless networks.

Published
2008

15. D4.1 Draft air interface harmonization and user plane design

Author

Aydin, Osman, Gebert, Jens, Belschner, Jakob, Bazzi, Jamal, Weitkemper, Petra, Kilinc, Caner, Silva, Icaro Leonardo Da, Zaidi, Ali, Schellmann, Malte, Filippou, Miltiadis, Salem, Ahmed Soud, Mezzavilla, Marco, Venkatkumar Venkatasubramanian, Marsch, Patrick, Milos Tesanovic, Yinan Qi, Nandish Kuruvatti, Calabuig, Daniel, and Monserrat, Jose F.

Subjects
TEORIA DE LA SEÑAL Y COMUNICACIONES, 5G
Abstract

The METIS-II project envisions the design of a new air interface in order to fulfil all the performance requirements of the envisioned 5G use cases including some extreme low latency use cases and ultra-reliable transmission, xMBB requiring additional capacity that is only available in very high frequencies, as well as mMTC with extremely densely distributed sensors and very long battery life requirements. Designing an adaptable and flexible 5G Air Interface (AI), which will tackle these use cases while offering native multi-service support, is one of the key tasks of METIS-II WP4. This deliverable will highlight the challenges of designing an AI required to operate in a wide range of spectrum bands and cell sizes, capable of addressing the diverse services with often diverging requirements, and propose a design and suitability assessment framework for 5G AI candidates.

Published
2016

16. Resource and Mobility Management in the Network Layer of 5G Cellular Ultra-Dense Networks

Author

Calabuig, Daniel, primary, Barmpounakis, Sokratis, additional, Gimenez, Sonia, additional, Kousaridas, Apostolos, additional, Lakshmana, Tilak R., additional, Lorca, Javier, additional, Lunden, Petteri, additional, Ren, Zhe, additional, Sroka, Pawel, additional, Ternon, Emmanuel, additional, Venkatasubramanian, Venkatkumar, additional, and Maternia, Michal, additional

Published
2017
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45. Hopfield neural-network-based dynamic resource allocation scheme for non-real-time traffic in wireless networks.

Author

Monserrat, José F., Calabuig, Daniel, Rubio, Lorenzo, and Cardona, Narcís

Subjects
*RESOURCE allocation, *PACKET switching, *NEURAL computers, *ARTIFICIAL neural networks, *WIRELESS communications
Abstract

Dynamic resource allocation (DRA) plays a fundamental role in current and future wireless networks, including 3G systems. In this paper, a scheduling DRA scheme for non-real-time (NRT) packet services in wireless system is proposed based on the use of Hopfield neural networks (HNN). The scheme exploits the fast response time of HNN for solving NP optimization problems and has been particularized for the downlink transmission in a UMTS system, although it could be easily extended to any other radio access technology. The new DRA scheme follows a delay-centric approach, since it maximizes the overall system resource utilization while minimizing the packet delay. Simulation results confirm that the proposed HNN-based DRA scheme is effective in supporting different types of NRT services, while achieving efficient utilization of radio resources. Copyright © 2008 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]

Published
2009
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