Communication is a crucial part and, often, a thorny problem of organizational life. In the modern-day organization, individuals must exchange information continuously and rapidly throughout the chain of command, whether to offer evaluation, direction or control. No more is this true, then for the rapidly growing and evolving domain of IT governance. Unfortunately, communication failures between business and…
Tags: SUMO OMNeT++
LMMSE equalized DCSK communication system over a multipath fading channel with AWGN noise
The advances in the development of chaos based communication system suggests that chaos shift keying (CSK) and its variant Differential CSK (DCSK) are one of the most promising candidates for practical implementation. In this paper a DCSK communication system incorporating a non coherent approach of demodulation based on a correlation detector is considered over a…
Impact of Primary Network on Secondary Network With Generalized Selection Combining
We propose cognitive spectrum sharing with generalized selection combining (GSC) at the secondary user (SU) in the presence of multiple primary transceivers with outdated channel information. Our main motivation is to determine the impact of GSC and outdated channel information on the outage probability of cognitive spectrum sharing subject to two practical power constraints: 1) maximum transmit power at…
Spectrum occupancy measurement: An autocorrelation based scanning technique using USRP
This paper presents a technique for scanning and evaluating the radio spectrum use. This technique determines the average occupancy of a channel over a specific duration. The technique was implemented using Software Defined Radio units and GNU Radio software. The survey was conducted in Grand Forks, North Dakota, over a frequency range of 824 MHz to 5.8 GHz. The results of…
A symbiotic resources sharing IoT platform in the smart cities context
Large urban areas are nowadays covered by millions of wireless devices, including not only cellular equipment carried by their inhabitants, but also several ubiquitous and pervasive platforms used to monitor and/or actuate on a variety of phenomena in the city area. Whereas the former are increasingly powerful devices equipped with advanced processors, large memory capacity,…
Engaging citizen communities in smart cities using IoT, serious gaming and fast markerless Augmented Reality
This paper describes a novel approach in engaging citizen communities based on serious gaming incorporating integration of the physical and digital worlds through aggregation of Internet of Things (IoT) service with Augmented Reality (AR) data visualization. The IoT service is provided by the ekoNET solution providing real-time monitoring of air quality and other atmospheric condition environmental data.…
Automatic modulation classification using S-transform based features
Automatic Modulation Classification plays a significant role in Cognitive Radio to identify the modulation format of the primary user. In this paper, we present the Stockwell transform (S-transform) based features extraction for classification of different digital modulation schemes using different classifiers such as Neural Network (NN), Support Vector Machine (SVM), Linear Discriminant Analysis (LDA), Naive Bayes (NB), k-Nearest Neighbor (k-NN).…
Automatic digital modulation recognition using minimum feature extraction
Auto modulation recognition schemes of digitally modulated signal plays a vital role in both military and civil applications like software defined radio, electronic warfare, cognitive radio systems, radio spectrum management, threat analysis and electronic surveillance. In this paper we proposed a new algorithm to distinguish between 6 digital modulation schemes (ASK-2, FSK-2, PSK-2, ASK-4, FSK-4, and PSK-4). Simulation results show that…
An adaptive low-complexity detection method for statistical signal transmission under time-varying channels
Based on orthogonal frequency division multiplexing (OFDM) systems, an additional individual data transmission can be established in statistical spectrum domain, which can be adopted for specific applications. However, the performance of existing detection methods for this kind of transmission will be severely restricted when the channel coefficients are dynamic within each observation window. In this…
Unified approach for performance analysis of Cognitive Radio Spectrum Sensing over correlated multipath fading channels
In this work, we analyse the performance of Cognitive Radio Spectrum Sensing (CRSS) systems with multiple receiving antennas considering the effect of correlation among fading branches. Exact closed-form expressions for the average detection probabilities (P̅D) are derived employing Probability Density Functions (PDF) approach for n.i.i.d.-L number of diversity branches over Nakagami-m fading channels with Maximal Ratio Combining (MRC)…