In cognitive ratio (CR), spectrum sensing is a crucial technique aiming at exploiting spectrum white spaces. This sensing task is more difficult for multiple channels in wide bands. In this paper, we investigate spectrum sensing tasks for long-term evolution (LTE) networks in large frequency-bands. We propose an effective spectrum sensing scheme to detect LTE signals and classify the cell-identities…
Tags: Veins OMNet++
Web server for command, control and monitoring of industrial equipment
The paper presents the design and experimentation of a Web server for command, control and monitoring of industrial equipment. The server has the following main components: Atmega2560 microcontroller as a CU and the W5100 network controller. The user is connected to the Web server through the Internet. The equipment is connected to the server ports, analog or…
CogCell: cognitive interplay between 60 GHz picocells and 2.4/5 GHz hotspots in the 5G era
The rapid proliferation of wireless communication devices and the emergence of a variety of new applications have triggered investigations into next-generation mobile broadband systems, i.e. 5G. Legacy 2G-4G systems covering large areas were envisioned to serve both indoor and outdoor environments. However, in the 5G era, 80 percent of all traffic is expected to be…
Perception of noise in global illumination algorithms based on spiking neural network
This paper proposes a reduced reference quality assessment model based on spiking neural network(SNN) in order to predict which image highlights perceptual noise in unbiased global illumination algorithms. These algorithms provide photo-realistic images by increasing the number of paths as proved by Monte Carlo theory. The objective is to find the number of paths that are…
Towards 1 Tbit/s SOA-based 1310 nm transmission for local area network/data centre applications
The growing data traffic in the local area networks is driving development of the cost-effective transmission systems that can carry it effectively. In this study, firstly, we investigate the influence of a semiconductor optical amplifier (SOA) on the transmission quality in the 1310 nm wavelength-division-multiplexed system. We examine the differences in the channels gain and…
Relay X channels without channel state information at the transmit sides: Degrees of freedom
This paper focuses on the two-user relay-assisted X channel with no channel state information (CSI) available at the transmitter side. Two relaying modes, namely half-duplex decode-and-forward (DF) andcognitive relays, are considered and the degrees of freedom (DoF) are characterized. It is shown that assisted by a half-duplex DF relay that is equipped with 2M antennas, the…
Incorporating Self-Interference Suppression for Full-duplex Operation in Opportunistic Spectrum Access Systems
Inspired by recent developments in full-duplex (FD) communications, we consider an opportunistic spectrum access (OSA) network in which secondary users (SUs) are capable of partial/complete self-interference suppression (SIS). This enables them to operate in either simultaneous transmit-and-sense (TS) or simultaneous transmit-and-receive (TR) modes, with the goal of achieving improved primary user (PU) detection and/or higher SU throughput.…
Nash Game Based Distributed Control Design for Balancing of Traffic Density over Freeway Networks
In this paper, we study the problem of optimal balancing of vehicle density in the freeway traffic. The optimization is performed in a distributed manner by utilizing the controllability properties of the freeway network represented by the Cell Transmission Model. By using these properties, we identify the subsystems to be controlled by local ramp meters.…
Spectrum Sensing of Interleaved SC-FDMA Signals in Cognitive Radio Networks
This paper develops a spectrum sensing technique for interleaved single-carrier frequency-division multiple access (SC-FDMA) systems. By designing a metric that exploits cyclostationary features of interleaved SC-FDMA signals, we establish a framework for signal detection. Using Gaussian approximation for this metric, the parameters of the metric distributions under two hypotheses are derived, and both hypotheses are…
Energy and Spectrum Efficient Parameter Estimation in Wireless Body Sensor Networks
In this letter we consider the problem of linear distributed estimation (DES) of a random parameter in a wireless body sensor network (BSN). We propose a novel architecture, and an associated optimization model, for DES in BSNs that is based on the deployment of a body-coupled communication (BCC) network that allows the nodes to communicate…