Modulation-mode assignment in SVD-assisted multiuser MIMO-OFDM systems

In order to comply with the demand on increasing available data rates in particular in wireless technologies, systems with multiple transmit and receive antennas, also called MIMO (multiple-input multiple-output) systems, have become indispensable for future generations of wireless systems. Due to the strongly increasing demand in high-data rate transmission systems, frequency non-selective MIMO links have reached a state of maturity and frequency selective MIMO links are in the focus of interest. In this field, the combination of MIMO transmission and OFDM (orthogonal frequency division multiplexing) can be considered as an essential part of fulfilling the requirements of future generations of wireless systems. However, single-user scenarios have reached a state of maturity. By contrast multiple users’ scenarios require substantial further research, where in comparison to ZF (zero-forcing) multiuser transmission techniques, the individual user’s channel characteristics are taken into consideration in this contribution. The performed joint optimization of the number of activated MIMO layers and the number of transmitted bits per subcarrier along with the appropriate allocation of the transmit power shows that not necessarily all user-specific MIMO layers per subcarrier have to be activated in order to minimize the overall BER under the constraint of a given fixed data throughput.

Modulation-mode Assignment in SVD-assisted Multiuser MIMO-OFDM Systems

In order to comply with the demand on increasing available data rates in particular in wireless technologies, systems with multiple transmit and receive antennas, also called MIMO (multiple-input multiple-output) systems, have become indispensable for future generations of wireless systems. Due to the strongly increasing demand in high-data rate transmission systems, frequency non-selective MIMO links have reached a state of maturity and frequency selective MIMO links are in the focus of interest. In this field, the combination of MIMO transmission and OFDM (orthogonal frequency division multiplexing) can be considered as an essential part of fulfilling the requirements of future generations of wireless systems. However, single-user scenarios have reached a state of maturity. By contrast multiple users’ scenarios require substantial further research, where in comparison to ZF (zero-forcing) multiuser transmission techniques, the individual user’s channel characteristics are taken into consideration in this contribution. The performed joint optimization of the number of activated MIMO layers and the number of transmitted bits per subcarrier along with the appropriate allocation of the transmit power shows that not necessarily all user-specific MIMO layers per subcarrier have to be activated in order to minimize the overall BER under the constraint of a given fixed data throughput

Redes de información y conocimiento climatológico en el mundo hispánico del siglo XVIII

Durante la Ilustración, el imperio español alcanzó su máxima amplitud y las instituciones oficiales incrementaron su apoyo a las ciencias. Para defender sus fronteras y ejercer con eficacia el poder político, económico y religioso, la Corona y la Iglesia necesitaban obtener información precisa --incluida la climatológica-- de las posesiones españolas y de los pobladores de éstas. Fueron varios los procedimientos empleados para ello: sistema de cuestionarios y relaciones geográficas, estudios medico-topográficos, visitas e inspecciones oficiales, expediciones político-científicas, correspondencia epistolar, artículos periodísticos, etc. Dichos procedimientos fueron aplicados por redes de informadores cuyas actuaciones se basaban en la división del trabajo, el reparto de colaboradores en diferentes lugares, el uso de códigos de comunicación comprensibles, el envío de los resultados a los superiores jerárquicos y la toma de decisiones por las autoridades competentes. Las redes de información estaban sometidas a dictámenes que normalizaban su creación y continuidad temporal, daban forma a su estructura interna, especificaban sus cometidos y obligaban a cumplir protocolos y plazos. En su seno se idearon planes de investigación integrados en el estudio general de la Tierra, el ser humano y la cultura. El beneficio de las actuaciones de sus miembros se plasmó en cubrir grandes ámbitos geográficos con el consiguiente ahorro de tiempo, esfuerzos y medios. En sus correspondientes contextos, los miembros de las redes efectuaron estudios climatológicos conforme a intereses, imposiciones y circunstancias específicas. Así, los médicos se interesaron por las condiciones climáticas que influían en la salud humana; los funcionarios reales y los ingenieros militares describieron los climas locales y regionales aptos para el fomento y el control político, jurídico y educativo de los habitantes de los territorios hispánicos; los expedicionarios estudiaron las interacciones entre los fenómenos naturales y las influencias de los accidentes geográficos en los climas; los clérigos se interesaron por los aspectos estéticos, apologéticos y contemplativos de los climas; finalmente, en la prensa de la época se publicaron registros meteorológicos periódicos y trabajos climatológicos varios. En definitiva, el saber climatológico en el mundo hispánico ilustrado aportó algunos rasgos esenciales a la climatología en una etapa pre-fundacional de esta disciplina. Dichos rasgos se desarrollaron generalmente en una escala local o regional y se refirieron a los siguientes asuntos: el calor como principal agente de las modificaciones atmosféricas, de la formación de vapor acuoso y de las precipitaciones; la influencia del suelo en el aumento de humedad y calor en el aire; el poder de los vientos para trasladar de un lugar a otro el frío o el calor, el vapor de agua, los fenómenos atmosféricos y los agentes responsables de las enfermedades contagiosas; las propiedades del aire atmosférico y su capacidad para interaccionar con el medio ambiente; la condición estática y repetitiva de los climas, si bien se admitió que dichos fenómenos podían sufrir modificaciones; la corroboración experimental de las diferencias climáticas entre las zonas tropicales y medias del planeta; la refutación de que la naturaleza americana y sus habitantes eran inferiores a los europeos; y la demostración de que los principios rectores de los fenómenos físicos del Viejo y el Nuevo Mundo eran idénticos. Desde el último tercio del siglo XVIII, los documentos producidos por los componentes de las redes de información incluyeron datos meteorológicos. Pero no siempre se emplearon los mismos instrumentos de medida ni se siguieron los mismos protocolos de indagación en idénticas condiciones. Además, y salvo excepciones, los períodos durante los cuales se recabaron datos atmosféricos fueron relativamente cortos, y los expertos no efectuaron las mismas operaciones aritméticas con los parámetros. Por esta razón, y por la orientación utilitaria de los ilustrados hispánicos, el saber climatológico no obtuvo en el período y en el ámbito geográfico considerados resultados teóricos apreciables; en cambio, dio lugar a una gran cantidad de actividades prácticas con aplicaciones a la medicina, la agricultura, la náutica, el fomento, la prevención de riesgos naturales, etc. La principal utilidad de este trabajo consiste en servir de complemento a los procedimientos actualmente en uso en historia de la hidrología y en climatología histórica. ABSTRACT During the Enlightenment, the Spanish Empire achieved its highest length and State institutions increased their support to sciences. In order to defend their frontiers and to exercise political, economical and religious power, the Crown and the Church needed exact information --including the climatologic one-- about its possessions and its habitants. Some of the procedures employed to get that objective were: system of questionnaires and geographic relations, medical-topographic studies, official visits and inspections, political-scientific expeditions, direct mail, journalistic articles, etc. Those procedures were applied by informers´ networks which obtained, manned and transmitted every kind of data about the natural and moral reality of the Hispanic territories; their actions were based on the division of tasks, the distribution of collaborators at several places, the use of understandable communication codes and the sending of results to the hierarchical superiors; after, the competent authorities took decisions. The information networks were subjected to rules witch regulated its creation, temporary continuity, interior structure, objectives, protocols and periods. Their memberships invented plans about the general research of the Earth, the human beings and the culture; and they contributed to get benefits because of covering large geographic frames and economizing time, effort and means. According to their specifics contexts, concerns, impositions and circumstances, the informers performed climatologic tasks. Thus, the physicians were interested in the climatic conditions which affected to human health; the royal officers and military engineers described the most propitious climates to patronage and political, lawful and educative control of inhabitants of Hispanic territories; the participants in politic-scientific expeditions studied the interactions among natural phenomena and the influence of geographic aspects on the climate; the clergymen underlined the esthetic, apologetic and contemplative face of climates; finally, in the newspapers were published a lot of meteorological data and climatologic works. So, the climatologic knowledge in the Hispanic enlightened world added these essential aspects --referred in a local and regional area-- during the pre-foundational epoch of the climatology: the heat as first agent of atmospheric modifications, aqueous vapor and precipitations; the influx of the land in the increment of humidity and heat of the air; the power of the winds to convey the cold, the heat, the aqueous vapor, the atmospheric phenomena and the agents which caused contagious maladies; the properties of the air and its faculty to mediate with the environs; the static and repetitive condition of the climate and its possibility to experience change; the experimental confirmation of climatic varieties between tropical and central areas of the planet; the negation of the inferiority of the American nature and inhabitants; the demonstration about the equality of the rules which conducted physical phenomena in the Old and the New world. Since the last third part of the eighteenth century, the documents produced by the members of the networks included meteorological data. But the informers were not used to employ the same measure instruments and homogeneous protocols completion in the same conditions. Exceptions besides, the times of taking atmospheric data, usually were very short; and the experts did not carry out the same arithmetical operations with parameters. Because of this reason and the utilitarian guidance of the informers, during the Hispanic Enlightenment, it was not possible to obtain theoretic conclusions about climatologic knowledge; but there were a lot of practical activities applied to Medicine, Agriculture, Navigation, patronage, prevention of natural risks, etc. The main utility of this work consist in favoring the present procedures of the History of Hydrology and Historic Climatology.

Resource allocation in GMD and SVD-based MIMO System

Singular-value decomposition (SVD)-based multiple-input multiple output (MIMO) systems, where the whole MIMO channel is decomposed into a number of unequally weighted single-input single-output (SISO) channels, have attracted a lot of attention in the wireless community. The unequal weighting of the SISO channels has led to intensive research on bit- and power allocation even in MIMO channel situation with poor scattering conditions identified as the antennas correlation effect. In this situation, the unequal weighting of the SISO channels becomes even much stronger. In comparison to the SVD-assisted MIMO transmission, geometric mean decomposition (GMD)-based MIMO systems are able to compensate the drawback of weighted SISO channels when using SVD, where the decomposition result is nearly independent of the antennas correlation effect. The remaining interferences after the GMD-based signal processing can be easily removed by using dirty paper precoding as demonstrated in this work. Our results show that GMD-based MIMO transmission has the potential to significantly simplify the bit and power loading processes and outperforms the SVD-based MIMO transmission as long as the same QAM-constellation size is used on all equally-weighted SISO channels.

Simulating Data Journalism to Communicate Hydrological Information from Sensor Networks

Presenting relevant information via web-based user friendly interfac- es makes the information more accessible to the general public. This is especial- ly useful for sensor networks that monitor natural environments. Adequately communicating this type of information helps increase awareness about the limited availability of natural resources and promotes their better use with sus- tainable practices. In this paper, I suggest an approach to communicating this information to wide audiences based on simulating data journalism using artifi- cial intelligence techniques. I analyze this approach by describing a pioneer knowledge-based system called VSAIH, which looks for news in hydrological data from a national sensor network in Spain and creates news stories that gen- eral users can understand. VSAIH integrates artificial intelligence techniques, including a model-based data analyzer and a presentation planner. In the paper, I also describe characteristics of the hydrological national sensor network and the technical solutions applied by VSAIH to simulate data journalism.

Information content: assessing meso-scale structures in complex networks

We propose a novel measure to assess the presence of meso-scale structures in complex networks. This measure is based on the identi?cation of regular patterns in the adjacency matrix of the network, and on the calculation of the quantity of information lost when pairs of nodes are iteratively merged. We show how this measure is able to quantify several meso-scale structures, like the presence of modularity, bipartite and core-periphery con?gurations, or motifs. Results corresponding to a large set of real networks are used to validate its ability to detect non-trivial topological patterns.

Efficiency analysis of information technology and online social networks management : an integrated DEA-Model assessment

This paper analyses the relationship between productive efficiency and online-social-networks (OSN) in Spanish telecommunications firms. A data-envelopment-analysis (DEA) is used and several indicators of business ?social Media? activities are incorporated. A super-efficiency analysis and bootstrapping techniques are performed to increase the model?s robustness and accuracy. Then, a logistic regression model is applied to characterise factors and drivers of good performance in OSN. Results reveal the company?s ability to absorb and utilise OSNs as a key factor in improving the productive efficiency. This paper presents a model for assessing the strategic performance of the presence and activity in OSN.

A low power routing algorithm for localization in IEEE 802.15.4 networks

Many context-aware applications rely on the knowledge of the position of the user and the surrounding objects to provide advanced, personalized and real-time services. In wide-area deployments, a routing protocol is needed to collect the location information from distant nodes. In this paper, we propose a new source-initiated (on demand) routing protocol for location-aware applications in IEEE 802.15.4 wireless sensor networks. This protocol uses a low power MAC layer to maximize the lifetime of the network while maintaining the communication delay to a low value. Its performance is assessed through experimental tests that show a good trade-off between power consumption and time delay in the localization of a mobile device.

Self-organizing Routing Algorithm fo Wireless Sensors Networks (WSN) using Ant Colony Optimization (ACO) with Tinyos.

This paper describes the basic tools to work with wireless sensors. TinyOShas a componentbased architecture which enables rapid innovation and implementation while minimizing code size as required by the severe memory constraints inherent in sensor networks. TinyOS's component library includes network protocols, distributed services, sensor drivers, and data acquisition tools ? all of which can be used asia or be further refined for a custom application. TinyOS was originally developed as a research project at the University of California Berkeley, but has since grown to have an international community of developers and users. Some algorithms concerning packet routing are shown. Incar entertainment systems can be based on wireless sensors in order to obtain information from Internet, but routing protocols must be implemented in order to avoid bottleneck problems. Ant Colony algorithms are really useful in such cases, therefore they can be embedded into the sensors to perform such routing task.

Generating Scale-free Networks with Adjustable Clustering Coefficient Via Random Walks

This paper presents an algorithm for generating scale-free networks with adjustable clustering coefficient. The algorithm is based on a random walk procedure combined with a triangle generation scheme which takes into account genetic factors; this way, preferential attachment and clustering control are implemented using only local information. Simulations are presented which support the validity of the scheme, characterizing its tuning capabilities.

Multiscale object-based classification of satellite images merging multispectral information with panchromatic textural features

Once admitted the advantages of object-based classification compared to pixel-based classification; the need of simple and affordable methods to define and characterize objects to be classified, appears. This paper presents a new methodology for the identification and characterization of objects at different scales, through the integration of spectral information provided by the multispectral image, and textural information from the corresponding panchromatic image. In this way, it has defined a set of objects that yields a simplified representation of the information contained in the two source images. These objects can be characterized by different attributes that allow discriminating between different spectral&textural patterns. This methodology facilitates information processing, from a conceptual and computational point of view. Thus the vectors of attributes defined can be used directly as training pattern input for certain classifiers, as for example artificial neural networks. Growing Cell Structures have been used to classify the merged information.

Evaluation of a User-Adapted Spoken Language Dialogue System: Measuring the Relevance of the Contextual Information Sources

We present an evaluation of a spoken language dialogue system with a module for the management of userrelated information, stored as user preferences and privileges. The flexibility of our dialogue management approach, based on Bayesian Networks (BN), together with a contextual information module, which performs different strategies for handling such information, allows us to include user information as a new level into the Context Manager hierarchy. We propose a set of objective and subjective metrics to measure the relevance of the different contextual information sources. The analysis of our evaluation scenarios shows that the relevance of the short-term information (i.e. the system status) remains pretty stable throughout the dialogue, whereas the dialogue history and the user profile (i.e. the middle-term and the long-term information, respectively) play a complementary role, evolving their usefulness as the dialogue evolves.

Improving target localization accuracy of wireless visual sensor networks

This paper discusses the target localization problem of wireless visual sensor networks. Specifically, each node with a low-resolution camera extracts multiple feature points to represent the target at the sensor node level. A statistical method of merging the position information of different sensor nodes to select the most correlated feature point pair at the base station is presented. This method releases the influence of the accuracy of target extraction on the accuracy of target localization in universal coordinate system. Simulations show that, compared with other relative approach, our proposed method can generate more desirable target localization's accuracy, and it has a better trade-off between camera node usage and localization accuracy.

Synchronization waves in geometric networks

We report synchronization of networked excitable nodes embedded in a metric space, where the connectivity properties are mostly determined by the distance between units. Such a high clustered structure, combined with the lack of long-range connections, prevents full synchronization and yields instead the emergence of synchronization waves. We show that this regime is optimal for information transmission through the system, as it enhances the options of reconstructing the topology from the dynamics. Measurements of topological and functional centralities reveal that the wave-synchronization state allows detection of the most structurally relevant nodes from a single observation of the dynamics, without any a priori information on the model equations ruling the evolution of the ensemble

Hydrologic models for emergency decision support using Bayesian networks

In the presence of a river flood, operators in charge of control must take decisions based on imperfect and incomplete sources of information (e.g., data provided by a limited number sensors) and partial knowledge about the structure and behavior of the river basin. This is a case of reasoning about a complex dynamic system with uncertainty and real-time constraints where bayesian networks can be used to provide an effective support. In this paper we describe a solution with spatio-temporal bayesian networks to be used in a context of emergencies produced by river floods. In the paper we describe first a set of types of causal relations for hydrologic processes with spatial and temporal references to represent the dynamics of the river basin. Then we describe how this was included in a computer system called SAIDA to provide assistance to operators in charge of control in a river basin. Finally the paper shows experimental results about the performance of the model.