In this paper we propose an interference alignment (IA) scheme in which the performance of the secondary users (SUs) transmitting their information on the same frequency band of the pre-existing primary links is improved in terms of achievable sum rate without generating any interference on the primary network. In our scenario, in which the primary…
Tags: mixim omnet
Least squares based channel estimation approach and Bit Error Rate analysis of Cognitive Radio
Cognitive Radio (CR) is very essential in day-to-day life as there is a growing demand for usage of frequency spectrum for different wireless applications. Being an opportunistic communication scenario,cognitive radio performance analysis attains prime significance. Performance analysis of a cognitiveradio scenario in a wireless channel is done by a well-known performance metric Bit Error Rate…
Spectrum awareness and exploitation for Cognitive Radio Satellite Communications
The Digital Agenda for Europe (DAE) sets forth ambitious requirements for broadband communications, in which Satellite Communications (SatCom) play a major role. In this context, spectrum sharing techniques offer unprecedented opportunities to increase capacity and reduce costs in order to allow SatCom to meet the DAE objectives. The EU FP7 Project CoRaSat is assessing Cognitive…
Throughput Analysis of Cooperative Communication in Wireless Ad HocNetworks With Frequency Reuse
In this paper, we investigate the network throughput achieved by both spatial diversity and spatial frequency reuse in a wireless ad hoc network with randomly positioned single-hop source-destination pairs and relays. Compared with conventional direct transmissions, cooperative communication can enhance single-link transmission reliability but reduce network-wide spatial frequency reuse due to relay transmissions. To study…
Sophisticated Traffic Lights Control using Neural Networks
This research work presents the previous results of implementing autonomous traffic light control system based on sophisticated agents to overcome problems like congestion, pollutant emissions and fuel consumption in modern cities. The proposed agent based approach uses back propagation neural networks to provide green light intervals according to the demand level of the intersection. The…
Power and Load Coupling in Cellular Networks for Energy Optimization
We consider the problem of minimization of sum transmission energy in cellular networks where coupling occurs between cells due to mutual interference. The coupling relation is characterized by the signal-to-interference-and-noise-ratio (SINR) coupling model. Both cell load and transmission power, where cell load measures the average level of resource usage in the cell, interact via the…
Kalman Filter Based Microgrid State Estimation Using the Internet of Things Communication Network
Recently, the smart grid is expected to modernize the current electricity grid by commencing a new set of technologies and services that make the electricity networks secure, automated controlled, cooperative and sustainable. Consequently, the smart control centre feels the requirement of a robust and scalable technique for state estimation (SE) that allows continuous and accurate…
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…
A novel performability assessment approach of Mobile Ad Hoc Network
In Mobile Ad hoc Networks (MANETs), system performance degrades when some switching nodes and/or communication links fail to operate. As a result, the performability (performance reliability) assessment of MANETs is very important. However, because of the impact of dynamic topology, the traditional system performability analysis methods, such as Dynamic Fault Tree (DFT) and Dynamic Reliability…
The t/k-Diagnosability of Star Graph Networks
The t/k-diagnosis is a diagnostic strategy at system level that can significantly enhance the system’s self-diagnosing capability. It can detect up to t faulty processors (or nodes, units) which might include at most k misdiagnosed processors, where k is typically a small number. Somani and Peleg ([26], 1996) claimed that an n-dimensional Star Graph (denoted…