Small cell networks have attracted a great deal of attention in recent years due to their potential to meet the exponential growth of mobile data traffic, and the increasing demand for better quality of service and user experience in mobile applications. Nevertheless, wide deployment of small cell networks has not happened yet because of the…
Tags: OMNeT++ simulator
An Order Optimal Policy for Exploiting Idle Spectrum in Cognitive Radio Networks
In this paper, a spectrum sensing policy employing recency-based exploration is proposed for cognitive radio networks. We formulate the problem of finding a spectrum sensing policy for multiband dynamic spectrum access as a stochastic restless multiarmed bandit problem with stationary unknown reward distributions. In cognitive radio networks, the multiarmed bandit problem arises when deciding where…
PPM demodulation schemes for IEEE 802.15.6 IR-UWB WBAN receivers
The performance evaluation of different PPM demodulation schemes employed in PPM based IR-UWB receivers designed to meet the specifications of the IEEE 802.15.6 Standard are presented. The four different PPM demodulation schemes have been investigated for the demodulation of the standard based transmitted signal specific to the PHY layer. The performance evaluation is carried out…
BYOC: Bring Your Own Control a new concept to monetize SDN’s openness
Software Defined Networking (SDN) is supposed to bring flexibility, dynamicity and automation to today’s network through a logically centralized network controller. We argue that reaching SDN’s full capacities requires however the development of standardized programming capabilities on its top. In this paper we introduce “Bring Your Own Control” (BYOC) as a new concept providing a…
Lag Synchronization of Switched Neural Networks via Neural Activation Function and Applications in Image Encryption
This paper investigates the problem of global exponential lag synchronization of a class of switched neural networks with time-varying delays via neural activation function and applications in image encryption. The controller is dependent on the output of the system in the case of packed circuits, since it is hard to measure the inner state of…
A comprehensive survey of routing protocols in wireless sensor networks
A wireless sensor network is composed of multifunctional sensor nodes scattered in sensing fields. Wireless sensor networks (WSNs) are widely used in applications like Military, Environmental monitoring, Health (Scanning), Space Exploration, Smart homes, Mechanical stress levels of attached objects, disaster management etc. [30] The transmission of information is a tedious task in WSN due to…
Global Exponential Stability for Discrete-Time Networks With Applications to Traffic Networks
This paper provides sufficient conditions for global asymptotic stability and global exponential stability, which can be applied to nonlinear, large-scale, uncertain discrete-time networks. The conditions are derived by means of vector Lyapunov functions. The obtained results are applied to traffic networks for the derivation of sufficient conditions for global exponential stability of the uncongested equilibrium…
From Feedforward to Recurrent LSTM Neural Networks for Language Modeling
Language models have traditionally been estimated based on relative frequencies, using count statistics that can be extracted from huge amounts of text data. More recently, it has been found that neural networks are particularly powerful at estimating probability distributions over word sequences, giving substantial improvements over state-of-the-art count models. However, the performance of neural network…
Priority-Driven Swapping-Based Scheduling of Aperiodic Real-Time Messages Over EtherCAT Networks
Real-time Ethernet (RTE) technologies are becoming increasingly popular, as they provide high bandwidth and are able to meet the requirements of industrial real-time communications. Among RTE protocols, the EtherCAT standard is suitable for motion control and closed-loop control applications, which require very short cycle times. As EtherCAT was specifically devised for periodic traffic, aperiodic real-time…
Multi-valued Neural Network Trained by Differential Evolution for Synthesizing Multiple-Valued Functions
We consider the problem of synthesizing multiple valued logic (MVL) functions by neural networks. A differential evolution algorithm is proposed to train the learnable multiple valued logic network. The optimum window and biasing parameters to be chosen for convergence are derived. Experiments performed on benchmark problems demonstrate the convergence and robustness of the network. Preliminary…