Recent Trends and Considerations for High Speed Data in Chips and System Interconnects

This paper discusses key issues related to the design of large processing volume chip architectures and high speed system interconnects. Design methodologies and techniques are discussed, where recent trends and considerations are highlighted

Cellular, Wide-Area, and Non-Terrestrial IoT: A Survey on 5G Advances and the Road Towards 6G

The next wave of wireless technologies is proliferating in connecting things among themselves as well as to humans. In the era of the Internet of things (IoT), billions of sensors, machines, vehicles, drones, and robots will be connected, making the world around us smarter. The IoT will encompass devices that must wirelessly communicate a diverse set of data gathered from the environment for myriad new applications. The ultimate goal is to extract insights from this data and develop solutions that improve quality of life and generate new revenue. Providing large-scale, long-lasting, reliable, and near real-time connectivity is the major challenge in enabling a smart connected world. This paper provides a comprehensive survey on existing and emerging communication solutions for serving IoT applications in the context of cellular, wide-area, as well as non-terrestrial networks. Specifically, wireless technology enhancements for providing IoT access in fifth-generation (5G) and beyond cellular networks, and communication networks over the unlicensed spectrum are presented. Aligned with the main key performance indicators of 5G and beyond 5G networks, we investigate solutions and standards that enable energy efficiency, reliability, low latency, and scalability (connection density) of current and future IoT networks. The solutions include grant-free access and channel coding for short-packet communications, non-orthogonal multiple access, and on-device intelligence. Further, a vision of new paradigm shifts in communication networks in the 2030s is provided, and the integration of the associated new technologies like artificial intelligence, non-terrestrial networks, and new spectra is elaborated. Finally, future research directions toward beyond 5G IoT networks are pointed out.Comment: Submitted for review to IEEE CS&

Light coding and protocols for network-on-chip systems of low energy consumption

[ABSTRACT] Communication systems are constantly evolving and need to process increasingly larger amounts of data in a short time. It is in this field that Network-on-Chip architectures emerge as a viable model to support such traffic demands. However, integration levels in Metworks-on-Chip (NoCs) are expected to increase significantly in the next years, accompanied with a reduction in supplied power. This forces NoC technologies to evolve and attempt to find solutions to the problems that are about to arise. This thesis studies the effects of channel noise on NoC communications and aims to compare the performance of coding methods (with different error-protection levels) to that of plain, uncoded transmissions. This way, it is possible to determine the minimum noise levels that would make it preferable to not use coding methods on the messages and thus avoid the throughput drop they entail. Furthermore, this thesis proposes the use of an alternative to the classic NoC: the Wireless Network-on-Chip (WNoC), which provides several advantages over its wired counterpart and has a wide array of possible improvements, also explained and analyzed in this thesis. Accompanying the analysis is a series of simulations, achieved through the MATLAB platform, which aim to provide proof of the proposed solutions' viability.[RESUMEN] Los sistemas de comunicación evolucionan constantemente y necesitan procesar cantidades de datos cada vez más elevadas en un corto periodo de tiempo. Es en este aspecto que las arquitecturas de Network-on-Chip emergen como un model viable para soportar estas demandas de tráfico. Sin embargo, está previsto que los niveles de integración en las networks-on-chip van a experimentar un aumento considerable en los próximos años, acompañado con una reducción en la potencia suministrada. Esto fuerza a las tecnologías de las NoC a evolucionar y a tratar de encontrar soluciones a los problemas que están surgiendo. Esta tesis estudia los efectos de ruido de canal sobre las comunicaciones en NoC y tiene como objetivo comparar el rendimiento de métodos de codificación (con diferentes niveles de protección de errores) a los de transmisiones simples, sin código. De esta manera, es posible encontrar niveles mínimos de ruido que harían preferible no usar métodos de codificación en los mensajes y por consiguiente evitar la pérdida de throughput que éstos suponen. Además, esta tesis propone el uso de una alternativa a las NoC clásicas: la Wireless Network-on-Chip (WNoC), que proporcionan diversas ventajas respecto a su contrapartida con cables y que dispone de una gran cantidad de posibles mejoras, también exlplicadas y analizadas en esta tesis. Acompañando a los análisis hay una serie de simulaciones, creadas a partir de la plataforma MATLAB, que tienen como objetivo presentar pruebas de la viabilidad de las soluciones propuestas

Recent advances in industrial wireless sensor networks towards efficient management in IoT

With the accelerated development of Internet-of- Things (IoT), wireless sensor networks (WSN) are gaining importance in the continued advancement of information and communication technologies, and have been connected and integrated with Internet in vast industrial applications. However, given the fact that most wireless sensor devices are resource constrained and operate on batteries, the communication overhead and power consumption are therefore important issues for wireless sensor networks design. In order to efficiently manage these wireless sensor devices in a unified manner, the industrial authorities should be able to provide a network infrastructure supporting various WSN applications and services that facilitate the management of sensor-equipped real-world entities. This paper presents an overview of industrial ecosystem, technical architecture, industrial device management standards and our latest research activity in developing a WSN management system. The key approach to enable efficient and reliable management of WSN within such an infrastructure is a cross layer design of lightweight and cloud-based RESTful web service

Proceedings of the 35th WIC Symposium on Information Theory in the Benelux and the 4th joint WIC/IEEE Symposium on Information Theory and Signal Processing in the Benelux, Eindhoven, the Netherlands May 12-13, 2014

Compressive sensing (CS) as an approach for data acquisition has recently received much attention. In CS, the signal recovery problem from the observed data requires the solution of a sparse vector from an underdetermined system of equations. The underlying sparse signal recovery problem is quite general with many applications and is the focus of this talk. The main emphasis will be on Bayesian approaches for sparse signal recovery. We will examine sparse priors such as the super-Gaussian and student-t priors and appropriate MAP estimation methods. In particular, re-weighted l2 and re-weighted l1 methods developed to solve the optimization problem will be discussed. The talk will also examine a hierarchical Bayesian framework and then study in detail an empirical Bayesian method, the Sparse Bayesian Learning (SBL) method. If time permits, we will also discuss Bayesian methods for sparse recovery problems with structure; Intra-vector correlation in the context of the block sparse model and inter-vector correlation in the context of the multiple measurement vector problem

Feasibility study of 5G low-latency packet radio communications without preambles

This thesis deals with the feasibility of having lower latency for radio communication of short packets, which is the major traffic in the fifth generation (5G) of cellular systems. We will examine the possibility of using turbo synchronization instead of using a long preamble, which is needed for Data-Aided (DA) synchronization. The idea behind this is that short packets are required in low-latency applications. The overhead of preambles is very significant in case of short packets. Turbo synchronization allows to work with short or null preambles. The simulations will be run for a turbo synchronizer which has been implemented according to the Expectation Maximization (EM) formulation of the problem. The simulation results show that the implemented turbo synchronizer outperforms or attains the DA synchronizer in terms of reliability, accuracy and acquisition range for carrier phase synchronization. It means that the idea of eliminating the preamble from the short packet seems practical. The only downward is that there is a packet size limitation for the effective functionality of turbo synchronizer. Simulations indicate that the number of transmitted symbols should be higher than 128 coded symbols

Single-Frequency Network Terrestrial Broadcasting with 5GNR Numerology

L'abstract è presente nell'allegato / the abstract is in the attachmen