This white paper explores the road to implementing broadband connectivity in future 6G wireless systems. Different categories of use cases are considered, from extreme capacity with peak data rates up to 1 Tbps, to ra...
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This white paper explores the road to implementing broadband connectivity in future 6G wireless systems. Different categories of use cases are considered, from extreme capacity with peak data rates up to 1 Tbps, to raising the typical data rates by orders-of-magnitude, to support broadband connectivity at railway speeds up to 1000 km/h. To achieve these goals, not only the terrestrial networks will be evolved but they will also be integrated with satellite networks, all facilitating autonomous systems and various interconnected structures. We believe that several categories of enablers at the infrastructure, spectrum, and protocol/algorithmic levels are required to realize the intended broadband connectivity goals in 6G. At the infrastructure level, we consider ultra-massive MIMO technology (possibly implemented using holographic radio), intelligent reflecting surfaces, user-centric and scalable cell-free networking, integrated access and backhaul, and integrated space and terrestrial networks. At the spectrum level, the network must seamlessly utilize sub-6 GHz bands for coverage and spatial multiplexing of many devices, while higher bands will be used for pushing the peak rates of point-to-point links. The latter path will lead to THz communications complemented by visible light communications in specific scenarios. At the protocol/algorithmic level, the enablers include improved coding, modulation, and waveforms to achieve lower latencies, higher reliability, and reduced complexity. Different options will be needed to optimally support different use cases. The resource efficiency can be further improved by using various combinations of full-duplex radios, interference management based on rate-splitting, machine-learning-based optimization, coded caching, and broadcasting. Finally, the three levels of enablers must be utilized not only to deliver better broadband services in urban areas, but also to provide full-coverage broadband connectivity must be one of the k
The development of Linux is one of the most prominent examples of free and open-source software collaboration. The kernel is used in many projects including Android which has over 82% in market share worldwide. Theref...
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ISBN:
(纸本)9781509054442
The development of Linux is one of the most prominent examples of free and open-source software collaboration. The kernel is used in many projects including Android which has over 82% in market share worldwide. Therefore, Linux's kernel security has a lot of impact on IT&C industry. This paper presents an audit solution over the Linux kernel in order to discover security vulnerabilities. Therefore, fuzzing campaigns are performed through system calls. This choice was made due to the fact that system calls are the natural way user space communicates with the kernel space and a real life scenario can be reproduced.
Creativity tasks require specific imagery, memory and semantic processes, as it has been revealed by various neuroscientific studies. There is significant evidence that an increase of spectral power in the EEG alpha b...
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Source Routing allows a node in the path of a packet to specify partially or completely the route taken by that packet. The route is appended to packet header as a list of nodes to traverse, therefore making simple, s...
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Source Routing allows a node in the path of a packet to specify partially or completely the route taken by that packet. The route is appended to packet header as a list of nodes to traverse, therefore making simple, stateless forwarding decisions. In this paper, we present a novel approach of Source Routing in SDN that uses stacked VLAN tags. Our solution was validated in Mininet using the Ryu controller and proven to have multiple advantages over other forwarding methods.
This paper explores the road to vastly improving the broadband connectivity in future 6G wireless systems. Different categories of use cases are considered, with peak data rates up to 1 Tbps. Several categories of ena...
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There are already plenty of Internet of Things (IoT) architectures and systems available worldwide and this creates challenges for software development and systems entities that use these platforms. Global visibility ...
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ISBN:
(纸本)9781538618400
There are already plenty of Internet of Things (IoT) architectures and systems available worldwide and this creates challenges for software development and systems entities that use these platforms. Global visibility and interoperability through the exposure of these platforms via the web can be achieved through a new paradigm to support an open framework for Web of Things (WoT), which is analogous to web pages. Thus, real-world objects and cloud services could interact via the web. This paper presents the concept of an intelligent lighting system designed in an architectural style based on the Representational State Transfer (REST) web technology and provides intelligent illumination based on Radio-Frequency Identification (RFID) technology.
Machine learning algorithms have recently become very popular for different tasks involving data analysis, classification or prediction. They can provide valuable knowledge for very large sets of data and can reach ve...
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Machine learning algorithms have recently become very popular for different tasks involving data analysis, classification or prediction. They can provide valuable knowledge for very large sets of data and can reach very good accuracy. However, most algorithms are sensitive to the nature of the data sets, as well as different calibrations which can lead to large differences in performance, accuracy or false positives. In this paper, a classification solution for imbalanced data sets containing information about defects of various trees is presented. The experimental results present a comparison that evaluates the classification performance of the Decision Tree, Random Forest, and Extremely Randomized Trees classifiers. The measures used in the comparison take into account weighted accuracy, precision, and recall for binary and multi-class classification.
The acceleration of Magnetic Resonance Imaging techniques is still very important in current development. The application of Compressed Sensing for medical data accelerates the acquisition time and satisfies the image...
The acceleration of Magnetic Resonance Imaging techniques is still very important in current development. The application of Compressed Sensing for medical data accelerates the acquisition time and satisfies the image quality. The method relies on the sparsity condition and requires only the most important data instead of acquiring all data according to the Nyquist-Shannon sampling theorem. The paper shows the application of different image quality parameters in order to compare the original method of Compressed Sensing for phantom and medical data.
In this paper, we establish a lower bound on the separation between two distinct solutions of a scalar Riemann-Liouville fractional differential equation. As a consequence, we show that the Lyapunov exponent of an arb...
In this paper, we establish a lower bound on the separation between two distinct solutions of a scalar Riemann-Liouville fractional differential equation. As a consequence, we show that the Lyapunov exponent of an arbitrary non-trivial solution of a bounded linear scalar Riemann-Liouville fractional differential equation is always non-negative.
The paper deals with the new methodology of programming of sequential control systems in Lab VIEW language. By similarity to the SFC language and use of only a few defined blocks and connections, the proposed approach...
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