The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
This paper presents a ray tracing approach to optimise the position of a relay in a static environment such that the signal-to-noise ratio (SNR) is maximised at the receiver. The underlying principles behind the ray tracing wireless channel model are summarised. An implementation of a ray tracing algorithm is developed in MATLAB to calculate the channel state information (CSI) of a relay-assisted...
Convolutional Neural Networks are being studied to provide features such as real time image recognition. One of the key operations to support HW implementations of this type of network is the multiplication. Despite the high number of operations required by Convolutional Neural Networks, they became feasible in the past years due the high availability of computing power, present on devices such as...
In this paper, we propose a positioning system using a time-synchronized wireless network that can achieve high positioning accuracy without being dependent on any global positioning system (GPS) devices with cm-level accuracy as the main goal and objective. The proposed system utilizes time of arrival (ToA) method to estimate the target's position. Based on the results, we can achieve time synchronization...
This paper proposes a distributed controller placement problem that finds out the pareto optimal solutions minimizing the switch-to-controller delay, controller-to-controller delay, and controller load imbalance for wide area software defined networks. We introduce a general model that not only considers the controller placements but also the switch assignments, so that this model can further be used...
Network Function Virtualization (NFV) is a promising solution for telecom operators and service providers to improve business agility, by enabling a fast deployment of new services, and by making it possible for them to cope with the increasing traffic volume and service demand. NFV enables virtualization of network functions that can be deployed as virtual machines on general purpose server hardware...
Current Network Function Virtualization (NFV) with Virtualized Network Functions (VNFs) running as virtual machines on commodity servers enables flexibility to Service Function Chaining (SFC). Specific applications may require Quality of Service (QoS) on end-to-end latency. However, the processing delay and the queuing delay of VNFs varies with virtual resource configurations (vCPU and vMemory), as...
Supporting frequency inside of each generation area as well as keeping proper synchronism condition between interconnected areas are two main challenges for grid operators. In this paper, after analysis of structure of Renewable Static Synchronous Generation unit based on Synchronous Power Controller (RSSG-SPC) for holding and control of frequency, it is shown that how a renewable unit based on SPC...
This paper demonstrates a non-uniform optical sampler based on the combination of a pulsed laser and an acousto-optic delay modulator. By using this to non-uniformly sub-sample a photonic link, signal frequencies well above the Nyquist frequency can be down-converted and unambiguously determined.
This article discusses the dynamic characteristics of static multi-valued elements and structures that characterize the quality of operation. Obtained an equation of the dynamics of multi-valued closed systems, determining the dynamic properties of static multivalued memory element in the vicinity of the equilibrium states of a closed system and allows clarifying the issues of system stability, oscillation...
Compared to conventional processors, stochastic computing architectures have strong potential to speed up computation time and to reduce power consumption. We present such an architecture, called Bayesian Machine (BM), dedicated to solving Bayesian inference problems. Given a set of noisy signals provided by low-level sensors, a BM estimates the posterior probability distribution of an unknown target...
Convolutional neural networks have become an essential element of spatial deep learning systems. In the prevailing architecture, the convolution operation is performed with Fast Fourier Transforms (FFT) electronically in GPUs. The parallelism of GPUs provides an efficiency over CPUs, however both approaches being electronic are bound by the speed and power limits of the interconnect delay inside the...
The prediction of complex signals is among the most important applications of random recurrent Neural Networks (rRNN). Yet, no theory which completely describes prediction in rRNNs exists. As such, these systems remain "black boxes". Based on nearest neighbors theory and random nonlinear mapping, we fully describe the mechanisms employed by rRNNs solving this essential task. Our approach...
Networked Distributed Model Predictive Control (NDMPC) is an effective control strategy which is usually used to control large-scale industrial processes with multi-variable coupling. However, data transmission and information exchange are carried out through the network in this control system, it will inevitably appear the phenomenon of network time-varying delay and data packet dropout, which will...
In this paper, the problem of exponential synchronization of Chaotic Lur'e systems with sampled-data control is investigated. It's noted that the sampling periods are arbitrarily varying and bounded. A novel Lyapunov functional is proposed which takes full advantage of the available information about the actual sampling patterns. A linear matrix inequality method is utilized to design the sampled-data...
Unlike general purpose computer architectures that are comprised of complex processor cores and sequential computation, the brain is innately parallel and contains highly complex connections between computational units (neurons). Key to the architecture of the brain is a functionality enabled by the combined effect of spiking communication and sparse connectivity with unique variable efficacies and...
According to International Roadmap for Devices and Systems (IRDS), after 2024, there is no headroom for 2D geometry scaling. By 2024, IRDS predicts that monolithic 3D integration technology will be one of the most critical performance boosters. This prediction follows the highly promising and relatively recent improvements on the fabrication of second-tier devices on a single substrate. In this study,...
This paper studies the static output-feedback control in a class of linear networked control systems and an improved adaptive event-triggered strategy is designed to save the limited network bandwidth. Different from the existent methods, the proposed event-triggered strategy can relax the assumption of the prior works that the threshold of event-triggered communication scheme is a preselected constant...
In this paper, the problem of H∞ sliding mode control for discrete-time singular systems with time-varying delay is studied. A new type of sliding mode surface involving the singular matrix E is proposed firstly, based on which, a less conservative condition is obtained to guarantee the ideal sliding mode dynamics of the singular system to be admissible with a γ-Ievel disturbance attenuation of the...
In the context of the Open Network Automation Platform (ONAP), we develop in this paper a resource allocation strategy for deploying Virtualized Network Functions (VNFs) on distributed data centers. For this purpose, we rely on a three-level data center hierarchy exploiting co-location facilities available within Main and Core Central Offices. We precisely propose an active VNFs' placement strategy,...
In the New Radio Access Network architecture (New RAN), currently envisioned by 3GPP, the evolved NodeB (eNB) functions can be split between a Distributed Unit (DU) and Central Unit (CU). Furthermore, as per the Virtual RAN (VRAN) approach, such functions can be virtualised (e.g., in simple terms, deployed in virtual machines). In such scenario, the fronthaul network connecting DU and CU must fulfill...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.